Headquarters: Remote
URL: http://gowalter.co

Description

Our client is a full-service digital product agency. They build businesses at the intersection of content and commerce, and since 2020, we've been focused on the creator economy and online education space.

We're a distributed team based in Canada. For this project specifically, a good part of the client team is based in Europe, so we're looking for candidates in EST or compatible timezones (anywhere from Eastern North America through Western/Central Europe) with strong overlap to a EST/CET working day.

This is a temporary contract role. Anticipated start date is as soon as possible.

About the project

You'll be joining a major build for one of our clients, a leading platform in the creator economy. They're rolling out a native Community feature that gives their users' most engaged audiences a place to gather, talk, and come back between sends, unlocking a premium upsell and stronger retention for the platform.

The project is mid-development by the time you start, with a beta window and a release event planned for later this year. You'll be embedded into a small, focused team and shipping production code from day one.

About the role

We're looking for a senior full-stack engineer comfortable working primarily in Ruby on Rails and React, who can drop into an existing codebase, ramp up quickly, and start delivering meaningful tickets within the first few weeks. You'll work alongside our existing engineering leads on this engagement, share planning and working sessions with the broader client team, and contribute directly to features being shipped to end users.

The stack is Ruby on Rails with Postgres and Redis Docker for local dev), a React frontend, with real-time and feed infrastructure powered by Stream.io. We use GitHub for code management and Linear for ticketing.

This role is hands-on. There's no Rare Days PM on this engagement (the client owns PM, so we're looking for someone who is self-directed, communicates clearly, and can operate effectively inside a client's processes and rituals.

Responsibilities

- Build and ship full-stack features across the Rails service layer and the React frontend on the client's community platform

- Pick up tickets from the Linear board, scope your own work, and deliver production-quality code with strong test coverage

- Participate in the client's sprint rituals, demos, and touchpoints, speaking confidently about technical decisions, trade-offs, and delivery status

- Collaborate closely with the existing engineers on the project (your primary pair during ramp-up) and with the client's internal engineers and PM

- Help drive the team toward upcoming beta and release milestones, flagging risks early and proposing solutions, not just problems

- Contribute to architecture and integration discussions where relevant (e.g. real-time infrastructure, feed/messaging via Stream, performance and scaling questions)

- Write code reviews that raise the bar without slowing the team down

 

Requirements

What we're looking for

- 7+ years of full-stack engineering experience, with substantial production work in Ruby on Rails and React

- Comfortable in a Rails monolith of meaningful size. You can navigate an unfamiliar codebase, find the patterns, and make changes that match the existing conventions rather than fighting them

- Strong with Postgres (writing efficient queries, understanding indexing, reasoning about migrations on a live database) and familiar with Redis in a caching or background-job context

- Experience working with React in a production app (component patterns, state management, integrating with a Rails backend)

- You've worked on apps where real-time features, multi-tenancy, or scale are real concerns, and you have opinions about the trade-offs (familiarity with ActionCable/AnyCable, Stream.io, Pusher, or similar is a plus)

- You can communicate effectively with both technical and non-technical audiences, and you're comfortable presenting your work directly to a client team

- You're self-directed: you can pick up a ticket, ask the right clarifying questions, and ship it without needing constant check-ins

- You're motivated by feedback and care about the craft. You'd rather raise a concern early than ship something you're not proud of

- Available to work in an EST or compatible timezone Eastern North America through Western/Central Europe), with strong overlap to a EST/CET working day for sprint rituals, pairing, and client touchpoints

- Comfortable working as a contractor

Nice to have

- Prior experience on creator-economy, publishing, or community products

- Background working as an embedded contractor inside a client's engineering team

- Familiarity with deploying Rails applications at scale Heroku, AWS, or similar)

- Experience integrating with third-party real-time / feed / chat services

Engagement details

Type: Temporary contract, full-time allocation

Location: Remote, EST or compatible timezone Eastern North America through Western/Central Europe)

   

To apply: https://weworkremotely.com/remote-jobs/walter-senior-fullstack-engineer-ruby-react

Description

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

We are developing a highly scalable media intelligence platform that processes, analyzes, and structures large volumes of multimedia content across text, image, video, and audio. As a Senior Applied ML Engineer, you will architect and build the core backend systems that power media ingestion, processing workflows, metadata generation, AI-based analysis, semantic search, and retrieval across large media libraries.

We are looking for a Senior Applied ML Engineer who can design, implement, optimize, and evaluate a production-grade moderation pipeline using open-source models.

This role requires deep backend engineering expertise, strong system design capability, and practical experience integrating AI/ML systems into production workflows. You will work on complex media-processing pipelines, video/audio analysis, OCR, speech-to-text, embedding generation, vector search, multimodal model integrations, and high-throughput asynchronous workloads. You will collaborate closely with engineering leadership to define backend architecture, improve reliability and scalability, and guide other engineers in delivering secure, observable, and high-performance systems.

Responsibilities

Backend Architecture & System Ownership

• Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production-ready systems.

• Own critical backend components end to end, from system design and API contracts through implementation, deployment, monitoring, and iteration.

• Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, search, observability, cloud infrastructure, and model-serving workflows.

• Design data models and storage patterns for media assets, generated metadata, embeddings, processing jobs, model outputs, search indexes, and audit trails.

• Design high-throughput media ingestion and processing pipelines for large volumes of video, audio, image, and text content.

• Build distributed, event-driven workflows for media processing using queues and pub/sub systems such as SQS, Kafka, Pub/Sub, or equivalent technologies.

• Implement reliable asynchronous processing patterns, including retries, idempotency, dead-letter queues, backpressure handling, and fault-tolerant job execution.

AI/ML Integration & Model Workflows

• Lead the development and optimization of metadata extraction, content analysis, scene detection, transcription, embedding generation, and multimodal AI inference workflows.

• Integrate and optimize AI/ML services within backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene analysis, multimodal inference, batching, caching, and fallback strategies.

• Collaborate with ML engineers, data scientists, or external model providers to benchmark models, compare quality/latency trade-offs, and safely roll out model upgrades.

Model Serving & Performance Optimization

• Optimize AI/ML inference workflows for latency, throughput, reliability, and cost across both real-time and batch-processing paths.

• Work with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services to improve batching, concurrency, warmup behavior, timeout handling, autoscaling, and GPU utilization.

• Evaluate and apply practical model optimization techniques such as quantization, model distillation, batching, caching, prompt optimization, and routing to smaller or cheaper models where appropriate.

• Design and maintain vector search and indexing systems using technologies such as Pinecone, Weaviate, Qdrant, Elastic Vectors, FAISS, pgvector, or similar tools.

• Build retrieval workflows that support semantic search, similarity matching, duplicate detection, media discovery, and structured metadata search.

• Monitor model and system performance in production, including API latency, queue depth, processing time, model error rates, GPU utilization, confidence distributions, drift signals, and cost per processed item.Search, Indexing & Data Retrieval

Infrastructure, Reliability & Observability

• Deploy and operate systems on AWS, GCP, Azure, or equivalent cloud platforms, including compute, storage, networking, queues, model-serving infrastructure, and monitoring systems.

• Ensure system reliability through logging, metrics, tracing, alerting, dashboards, operational runbooks, and incident-response best practices.

Collaboration & Engineering Leadership

• Collaborate with product, design, data, and ML teams to deliver media-rich, AI-powered product features.

• Mentor junior and mid-level engineers, support technical planning, review designs, and raise engineering quality across the team.

• Participate in code reviews, documentation, technical planning, and continuous improvement of engineering practices.

• Ensure code quality through testing, peer review, clear documentation, and maintainable implementation patterns.

Requirements

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

• 5-7+ years of backend engineering experience, ideally building scalable distributed systems, media platforms, data pipelines, or high-throughput backend services.

• Prior experience owning major backend modules end to end, including architecture, implementation, deployment, monitoring, and production operations.

• 3 + years of experience integrating AI/ML inference systems into backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene detection, or multimodal model outputs.

• Hands-on experience creating AI-powered processing pipelines for image, video, audio, or text analysis.

• Practical experience with production model optimization, especially for image, video, embedding, or multimodal models, including batching, caching, quantization, prompt optimization, routing strategies, latency reduction, and cost optimization.

• Prior experience with vector search, semantic search, media retrieval, or similarity-matching systems is strongly preferred.

• Experience mentoring engineers, leading technical discussions, and influencing architectural decisions across backend, infrastructure, and AI/ML workflows.

Technical Skills

• Strong expertise in Python and/or Node.js with Deep understanding of building scalable RESTful APIs and backend architectures

• Experience with HuggingFace transformers ecosystem and deep learning frameworks such as PyTorch and TensorFlow.

• Strong experience with SQL/NoSQL databases, schema design, and data modeling

• Preferred Exposure to distributed systems, microservices, asynchronous processing, and event-driven patterns with SQS, Pub/Sub, Kafka, or other queueing/pub-sub systems

• Experience deploying production systems on AWS, GCP, or similar cloud platforms

• Knowledge of infrastructure patterns (compute, storage, networking, observability)

AI/ML Integration

• Experience orchestrating embedding generation, scene detection, OCR, speech-to-text, image classification, video analysis, and multimodal model integrations.

• Experience optimizing inference workflows for latency, throughput, reliability, and cost.

• Experience working with scalable and optimized inference settings, including tuning sampling parameters, managing output‑length formats, and configuring reasoning‑related behaviors.

• Familiarity with practical model optimization techniques such as batching, caching, quantization, model distillation, prompt optimization, fallback routing, and use of smaller models where appropriate.

• Experience working with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services is preferred.

• Experience working with LLM and Multi-modal evaluation and benchmarking frameworks and domain‑specific benchmarks with the ability to interpret results and optimize model performance accordingly.

System Design & Architecture

• Preferred understanding of distributed systems, scaling patterns, and performance engineering

• Ability to design modular, maintainable, and efficient architectures

• Experience with API versioning, modularization, and designing long-running workflows

• Understanding of performance bottlenecks and low-latency backend patterns

Important information for candidates

Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/

• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.

• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.

• Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io

• We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

About Us

We’re Dayshape—an award-winning software scale-up with big ambitions and the momentum to match. Trusted by Big Four and many other top professional services firms globally, our AI-powered resource management platform is helping organisations to achieve extraordinary results.

Our platform stands apart as the only solution that combines advanced AI, real-time project financials, and firm-wide insights to elevate resource management to a strategic function. By driving profitable growth, powering confident decisions, and ensuring satisfied clients and teams—we’re helping our customers build strong organisations and careers for the long term.

Why our customers love Dayshape:

• We help professional firms optimise margins and increase revenue, unlocking access to more profitable work.

• We provide complete operational visibility today and the tools to confidently predict tomorrow.

• We empower firms to become the places where top talent wants to work - and the best clients want to work with.

Recognised as Scotland’s fastest-growing tech company in the Deloitte Technology Fast 50 for three consecutive years and more recently as the Enterprise Digital Tech Business of the Year at the 2024 ScotlandIS awards, we’ve consistently proven our ability to innovate and deliver real impact—and we’re always looking for like-minded people to join us.

At Dayshape, our purpose is to improve people’s working lives, and our culture is an important driving force in helping us to do just that. We’re a friendly, inclusive, and ambitious team—driven by our values and a shared commitment to success. If you’re ready to join a fast-growing, high-impact company that’s reimagining resource management, then let’s talk.

About the role

We’ve come a long way in a short time, but there’s still so much more we can do. We have grand ambitions to make Dayshape the most advanced resource planning tool on the market. That’s where you come in.

As part of one our engineering teams, your key areas of focus will be enhancing product scalability and usability, helping consistently deliver features that support our customers’ success. As a senior software engineer, you will work collaboratively with the rest of our cross-functional team to plan and deliver new features and enhancements. We are hiring across multiple engineering teams, all solving unique challenges.

What you’ll do

• Support our product and engineering managers in prioritisation, scoping and leading delivery of product features

• Work as part of our engineering team to enhance quality, scalability, performance, maintainability, configurability, and usability

• Support, mentor, and coach other members of the team

• Be involved in the entire life cycle of features, including idea creation, deployment, and longer-term updates and enhancements

• Work on a wide variety of different challenges across the product and codebase

About you

• You will be a strong back-end C# or front-end JS developer, but with some good experience across both front end and back end technologies. Our tech stack is based around .Net (framework and Core) and Vue.js, so a willingness to work across the tech stack is a must.

• Have experience of using automated testing to prove that everything you do is of a high degree of quality.

• You will be passionate about creating a product you can be proud of.

• Working closely with others will be second nature to you, collaborating closely with your engineering colleagues, along with developing relationships with our product and implementation teams.

• Great at asking awkward questions, kindly

• Motivated by learning new things and using those to make a positive difference

• Comfortable challenging and raising issues at any level

• Knowledgeable about a range of technologies, and quick to learn others

• Able to zero-in on bugs without looking at the code, based on your experience and intuition

• An excellent, kind, and supportive communicator (who often finds yourself un-crossing wires between your colleagues)

• Able to consider the broader impact of your design and coding decisions and those of others

• Great at breaking down big tasks into small chunks, solving tricky problems and tackling risks

• Used to working with agile development teams on large software products

Bonus points if you have

• Worked with Vue.js, .Net Core, Message Queuing Systems such as Azure Service Bus, SQL Server, and/or Microsoft Azure

• Worked in (or with) the Professional Services industry

What you’ll get

• Starting salary between £50,000 and £60,000, depending on experience

• Earning potential in the Software Engineer salary band up to £63,650

• At least £1,000 per year to spend on professional and personal development

• 33 days’ holiday per year (including bank holidays), increasing by 1 day each year to a maximum of 40 days

• Paid four week sabbatical in your fifth anniversary year on top of your holiday entitlement

• Enhanced family leave policies

• Private medical insurance, including dental and vision benefits

• Income protection and death in service cover

• Matched 5% auto-enrolment workplace pension scheme

• Access to wellbeing offerings, such as our Employee Assistance Programme and a dedicated counselling service

• Volunteering time – up to 20 hours a year to participate in volunteer work

• Regular All Hands meeting for inspiration and over-communication

• Time out of the working week for team socials each month, with a mix of in-person and virtual options: past events include hiking, family BBQs, board games and at-home cocktail classes!

• Genuinely nice, smart people to work with, who are excited about growing our company

Working Details

This is a full-time role (37.5 hours per week). We typically work from 09:00 - 17:30 from Monday to Friday, though we can be flexible around this, just let us know.

We’re ideally looking for someone in/around Edinburgh, though we’re open to the possibility of this being a remote role (as long as you’re in the UK). We’re making the most of hybrid working, so you won’t need to come into the office everyday (unless you want to!).

We don’t mandate required office days, but we find that most of the team enjoy working from the office 2-3 days a week to connect with their team and other Dayshapers and to make use of space, and for meetings and collaboration.

Join the team!

Equality of opportunity is more than just a responsibility: we believe it’s a huge advantage to welcome a variety of experiences and perspectives into the team. Diversity is a great asset and, as such, we strongly encourage applications from any background.

This is your opportunity to really influence how we get things done, and how our product develops to meet our customer’s needs. We’re doing well, but there’s lots more to do in order to maintain the high bar and pace that we’ve set.

If your experience isn’t an exact match for this job description, but you have transferrable skills/experience that you think would be a great fit, please outline this in a cover letter. Everyone here is growing personally as the company grows, so if that sounds like something you’d like to be part of, we’d love to see your application.

*Please note the successful candidate for this role will be subject to background checks and will have an opportunity to declare anything to us beforehand*

Description

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

We are developing a highly scalable media intelligence platform that processes, analyzes, and structures large volumes of multimedia content across text, image, video, and audio. As a Senior Applied ML Engineer, you will architect and build the core backend systems that power media ingestion, processing workflows, metadata generation, AI-based analysis, semantic search, and retrieval across large media libraries.

We are looking for a Senior Applied ML Engineer who can design, implement, optimize, and evaluate a production-grade moderation pipeline using open-source models.

This role requires deep backend engineering expertise, strong system design capability, and practical experience integrating AI/ML systems into production workflows. You will work on complex media-processing pipelines, video/audio analysis, OCR, speech-to-text, embedding generation, vector search, multimodal model integrations, and high-throughput asynchronous workloads. You will collaborate closely with engineering leadership to define backend architecture, improve reliability and scalability, and guide other engineers in delivering secure, observable, and high-performance systems.

Responsibilities

Backend Architecture & System Ownership

• Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production-ready systems.

• Own critical backend components end to end, from system design and API contracts through implementation, deployment, monitoring, and iteration.

• Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, search, observability, cloud infrastructure, and model-serving workflows.

• Design data models and storage patterns for media assets, generated metadata, embeddings, processing jobs, model outputs, search indexes, and audit trails.

• Design high-throughput media ingestion and processing pipelines for large volumes of video, audio, image, and text content.

• Build distributed, event-driven workflows for media processing using queues and pub/sub systems such as SQS, Kafka, Pub/Sub, or equivalent technologies.

• Implement reliable asynchronous processing patterns, including retries, idempotency, dead-letter queues, backpressure handling, and fault-tolerant job execution.

AI/ML Integration & Model Workflows

• Lead the development and optimization of metadata extraction, content analysis, scene detection, transcription, embedding generation, and multimodal AI inference workflows.

• Integrate and optimize AI/ML services within backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene analysis, multimodal inference, batching, caching, and fallback strategies.

• Collaborate with ML engineers, data scientists, or external model providers to benchmark models, compare quality/latency trade-offs, and safely roll out model upgrades.

Model Serving & Performance Optimization

• Optimize AI/ML inference workflows for latency, throughput, reliability, and cost across both real-time and batch-processing paths.

• Work with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services to improve batching, concurrency, warmup behavior, timeout handling, autoscaling, and GPU utilization.

• Evaluate and apply practical model optimization techniques such as quantization, model distillation, batching, caching, prompt optimization, and routing to smaller or cheaper models where appropriate.

• Design and maintain vector search and indexing systems using technologies such as Pinecone, Weaviate, Qdrant, Elastic Vectors, FAISS, pgvector, or similar tools.

• Build retrieval workflows that support semantic search, similarity matching, duplicate detection, media discovery, and structured metadata search.

• Monitor model and system performance in production, including API latency, queue depth, processing time, model error rates, GPU utilization, confidence distributions, drift signals, and cost per processed item.Search, Indexing & Data Retrieval

Infrastructure, Reliability & Observability

• Deploy and operate systems on AWS, GCP, Azure, or equivalent cloud platforms, including compute, storage, networking, queues, model-serving infrastructure, and monitoring systems.

• Ensure system reliability through logging, metrics, tracing, alerting, dashboards, operational runbooks, and incident-response best practices.

Collaboration & Engineering Leadership

• Collaborate with product, design, data, and ML teams to deliver media-rich, AI-powered product features.

• Mentor junior and mid-level engineers, support technical planning, review designs, and raise engineering quality across the team.

• Participate in code reviews, documentation, technical planning, and continuous improvement of engineering practices.

• Ensure code quality through testing, peer review, clear documentation, and maintainable implementation patterns.

Requirements

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

• 5-7+ years of backend engineering experience, ideally building scalable distributed systems, media platforms, data pipelines, or high-throughput backend services.

• Prior experience owning major backend modules end to end, including architecture, implementation, deployment, monitoring, and production operations.

• 3 + years of experience integrating AI/ML inference systems into backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene detection, or multimodal model outputs.

• Hands-on experience creating AI-powered processing pipelines for image, video, audio, or text analysis.

• Practical experience with production model optimization, especially for image, video, embedding, or multimodal models, including batching, caching, quantization, prompt optimization, routing strategies, latency reduction, and cost optimization.

• Prior experience with vector search, semantic search, media retrieval, or similarity-matching systems is strongly preferred.

• Experience mentoring engineers, leading technical discussions, and influencing architectural decisions across backend, infrastructure, and AI/ML workflows.

Technical Skills

• Strong expertise in Python and/or Node.js with Deep understanding of building scalable RESTful APIs and backend architectures

• Experience with HuggingFace transformers ecosystem and deep learning frameworks such as PyTorch and TensorFlow.

• Strong experience with SQL/NoSQL databases, schema design, and data modeling

• Preferred Exposure to distributed systems, microservices, asynchronous processing, and event-driven patterns with SQS, Pub/Sub, Kafka, or other queueing/pub-sub systems

• Experience deploying production systems on AWS, GCP, or similar cloud platforms

• Knowledge of infrastructure patterns (compute, storage, networking, observability)

AI/ML Integration

• Experience orchestrating embedding generation, scene detection, OCR, speech-to-text, image classification, video analysis, and multimodal model integrations.

• Experience optimizing inference workflows for latency, throughput, reliability, and cost.

• Experience working with scalable and optimized inference settings, including tuning sampling parameters, managing output‑length formats, and configuring reasoning‑related behaviors.

• Familiarity with practical model optimization techniques such as batching, caching, quantization, model distillation, prompt optimization, fallback routing, and use of smaller models where appropriate.

• Experience working with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services is preferred.

• Experience working with LLM and Multi-modal evaluation and benchmarking frameworks and domain‑specific benchmarks with the ability to interpret results and optimize model performance accordingly.

System Design & Architecture

• Preferred understanding of distributed systems, scaling patterns, and performance engineering

• Ability to design modular, maintainable, and efficient architectures

• Experience with API versioning, modularization, and designing long-running workflows

• Understanding of performance bottlenecks and low-latency backend patterns

Important information for candidates

Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/

• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.

• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.

• Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io

• We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

Description

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

We are developing a highly scalable media intelligence platform that processes, analyzes, and structures large volumes of multimedia content across text, image, video, and audio. As a Senior Applied ML Engineer, you will architect and build the core backend systems that power media ingestion, processing workflows, metadata generation, AI-based analysis, semantic search, and retrieval across large media libraries.

We are looking for a Senior Applied ML Engineer who can design, implement, optimize, and evaluate a production-grade moderation pipeline using open-source models.

This role requires deep backend engineering expertise, strong system design capability, and practical experience integrating AI/ML systems into production workflows. You will work on complex media-processing pipelines, video/audio analysis, OCR, speech-to-text, embedding generation, vector search, multimodal model integrations, and high-throughput asynchronous workloads. You will collaborate closely with engineering leadership to define backend architecture, improve reliability and scalability, and guide other engineers in delivering secure, observable, and high-performance systems.

Responsibilities

Backend Architecture & System Ownership

• Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production-ready systems.

• Own critical backend components end to end, from system design and API contracts through implementation, deployment, monitoring, and iteration.

• Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, search, observability, cloud infrastructure, and model-serving workflows.

• Design data models and storage patterns for media assets, generated metadata, embeddings, processing jobs, model outputs, search indexes, and audit trails.

• Design high-throughput media ingestion and processing pipelines for large volumes of video, audio, image, and text content.

• Build distributed, event-driven workflows for media processing using queues and pub/sub systems such as SQS, Kafka, Pub/Sub, or equivalent technologies.

• Implement reliable asynchronous processing patterns, including retries, idempotency, dead-letter queues, backpressure handling, and fault-tolerant job execution.

AI/ML Integration & Model Workflows

• Lead the development and optimization of metadata extraction, content analysis, scene detection, transcription, embedding generation, and multimodal AI inference workflows.

• Integrate and optimize AI/ML services within backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene analysis, multimodal inference, batching, caching, and fallback strategies.

• Collaborate with ML engineers, data scientists, or external model providers to benchmark models, compare quality/latency trade-offs, and safely roll out model upgrades.

Model Serving & Performance Optimization

• Optimize AI/ML inference workflows for latency, throughput, reliability, and cost across both real-time and batch-processing paths.

• Work with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services to improve batching, concurrency, warmup behavior, timeout handling, autoscaling, and GPU utilization.

• Evaluate and apply practical model optimization techniques such as quantization, model distillation, batching, caching, prompt optimization, and routing to smaller or cheaper models where appropriate.

• Design and maintain vector search and indexing systems using technologies such as Pinecone, Weaviate, Qdrant, Elastic Vectors, FAISS, pgvector, or similar tools.

• Build retrieval workflows that support semantic search, similarity matching, duplicate detection, media discovery, and structured metadata search.

• Monitor model and system performance in production, including API latency, queue depth, processing time, model error rates, GPU utilization, confidence distributions, drift signals, and cost per processed item.Search, Indexing & Data Retrieval

Infrastructure, Reliability & Observability

• Deploy and operate systems on AWS, GCP, Azure, or equivalent cloud platforms, including compute, storage, networking, queues, model-serving infrastructure, and monitoring systems.

• Ensure system reliability through logging, metrics, tracing, alerting, dashboards, operational runbooks, and incident-response best practices.

Collaboration & Engineering Leadership

• Collaborate with product, design, data, and ML teams to deliver media-rich, AI-powered product features.

• Mentor junior and mid-level engineers, support technical planning, review designs, and raise engineering quality across the team.

• Participate in code reviews, documentation, technical planning, and continuous improvement of engineering practices.

• Ensure code quality through testing, peer review, clear documentation, and maintainable implementation patterns.

Requirements

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

• 5-7+ years of backend engineering experience, ideally building scalable distributed systems, media platforms, data pipelines, or high-throughput backend services.

• Prior experience owning major backend modules end to end, including architecture, implementation, deployment, monitoring, and production operations.

• 3 + years of experience integrating AI/ML inference systems into backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene detection, or multimodal model outputs.

• Hands-on experience creating AI-powered processing pipelines for image, video, audio, or text analysis.

• Practical experience with production model optimization, especially for image, video, embedding, or multimodal models, including batching, caching, quantization, prompt optimization, routing strategies, latency reduction, and cost optimization.

• Prior experience with vector search, semantic search, media retrieval, or similarity-matching systems is strongly preferred.

• Experience mentoring engineers, leading technical discussions, and influencing architectural decisions across backend, infrastructure, and AI/ML workflows.

Technical Skills

• Strong expertise in Python and/or Node.js with Deep understanding of building scalable RESTful APIs and backend architectures

• Experience with HuggingFace transformers ecosystem and deep learning frameworks such as PyTorch and TensorFlow.

• Strong experience with SQL/NoSQL databases, schema design, and data modeling

• Preferred Exposure to distributed systems, microservices, asynchronous processing, and event-driven patterns with SQS, Pub/Sub, Kafka, or other queueing/pub-sub systems

• Experience deploying production systems on AWS, GCP, or similar cloud platforms

• Knowledge of infrastructure patterns (compute, storage, networking, observability)

AI/ML Integration

• Experience orchestrating embedding generation, scene detection, OCR, speech-to-text, image classification, video analysis, and multimodal model integrations.

• Experience optimizing inference workflows for latency, throughput, reliability, and cost.

• Experience working with scalable and optimized inference settings, including tuning sampling parameters, managing output‑length formats, and configuring reasoning‑related behaviors.

• Familiarity with practical model optimization techniques such as batching, caching, quantization, model distillation, prompt optimization, fallback routing, and use of smaller models where appropriate.

• Experience working with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services is preferred.

• Experience working with LLM and Multi-modal evaluation and benchmarking frameworks and domain‑specific benchmarks with the ability to interpret results and optimize model performance accordingly.

System Design & Architecture

• Preferred understanding of distributed systems, scaling patterns, and performance engineering

• Ability to design modular, maintainable, and efficient architectures

• Experience with API versioning, modularization, and designing long-running workflows

• Understanding of performance bottlenecks and low-latency backend patterns

Important information for candidates

Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/

• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.

• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.

• Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io

• We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

The role

We’re looking for a System Integration Engineer to lead the integration and bring-up of cutting edge autonomous vehicle platforms. In this role, you’ll work across hardware and software boundaries to prototype, assemble, and test complex systems both in-vehicle and on development benches. You will also support vehicle integration development and issue troubleshooting to improve the performance and reliability of our next-generation systems.

Key responsibilities:

• Integration and bring-up of autonomous systems on internal and partner vehicles
• Architect, prototype and evaluate new hardware systems
• Support fleet troubleshooting and issue resolution
• Inform and improve system integration processes and workflow
• Bring-up and maintain of development benches and HIL systems

About you

In order to set you up for success as a System Integration Engineer at Wayve, we’re looking for the following skills and experience.

Essential:

• 7+ years experience integrating and developing complex systems
• Breadth of technical comprehension across electrical, mechanical, and software systems
• Proven hands-on experience debugging and assembling hardware/software systems
• Excellent communication and collaboration skills across engineering disciplines
• Multidisciplinary troubleshooting skills with a strong sense of ownership and initiative
• Bachelor’s degree in Electrical Engineering, Mechanical Engineering, or equivalent experience.

Desirable:

• Experience working on autonomous vehicles, robotics, or similar advanced systems

• Skilled in prototyping electronics, wire harnesses, and custom hardware components

• Comfortable working in Linux environments and with scripting tools

• Ability to read and understand code in languages such as C++, Python, or JavaScript

• Experience using application level software for testing, flashing, and triaging issues

• Working with suppliers and contract manufacturers for design validation and manufacturing

This is a full-time role based in our office in Sunnyvale, CA.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

At Wayve we’re committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition  (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Company Description

Accesa is a leading technology company headquartered in Cluj-Napoca, with offices in Oradea and 20 years of experience in turning business challenges into opportunities and growth.

A value-driven organisation, it has established itself as a partner of choice for major brands in Retail, Manufacturing, Finance, and Banking. It covers the complete digital evolution journey of its customers, from ideation and requirements setup to software development and managed services solutions.

With more than 1,200 IT professionals, Accesa also has a fast-growing footprint, establishing itself as an employer of choice for IT professionals who are passionate about problem-solving through technology. Coming together in strong tech teams with a customer-centric approach, they enable businesses to grow, delivering value for our clients, partners, industry, and community.

Job Description

Our client operates within the food manufacturing and direct distribution sector, with a strong specialization in frozen and ice products. The company’s core business model focuses on delivering these products directly to end consumers across multiple European countries, ensuring a seamless and efficient distribution process.

The project supports delivery operations through POS (Point of Sales), a mobile application used by drivers to manage delivery-related information. The application covers logistics aspects such as delivery grouping, delivery zones, scheduled time slots, and related operational details.

Qualifications

Responsibilities:

• Tailor client solutions: Conduct research, assessments, and recommend efficient and robust software solutions tailored to client needs.

• Deliver high-quality code: Develop and maintain applications using Kotlin for a custom embedded/mobile operating system

• Drive Continuous Improvement: You will proactively identify areas for improvement in existing programs and lead refactoring efforts.

• Team collaboration: Collaborate closely with software engineers, product owners, team managers, and clients.

• Provide client consultancy: Offer technical consultancy services to clients to ensure solutions meet their requirements.

Qualifications:

• 5+ years of experience in Android development within a professional software engineering environment

• Strong hands-on experience with Kotlin; Java is a plus

• Experience building Android applications using Kotlin and Java, with modern Android development practices and Android Jetpack libraries (ViewModel, DataStore, Navigation), and Jetpack Compose for UI, as well as traditional Views with Fragments

• Solid understanding of clean architecture and common Android architectural patterns (MVP, MVVM, MVI)

• Experience with Kotlin Coroutines, reactive programming using RxJava, and task scheduling with WorkManager

• Experience with local data persistence solutions such as Room and Realm

• Proficiency with version control systems and collaborative tooling (Git, Atlassian, or similar)

• Excellent written and verbal communication skills in English

• Nice to have:

• Experience with multi-module Android projects, CI/CD pipelines, and modern deployment practices

• Familiarity with frontend technologies (JavaScript/TypeScript, React, Angular), deep understanding of the Android SDK.

• Exposure to accessibility standards, localization, analytics, and UI enhancements (WorkManager, Paging, Lottie)

• German language skills

As a people-first organisation, we believe diversity strengthens our teams and drives innovation. All employment decisions are based on merit, skills, and performance, without discriminating based on any personal characteristic. This reinforces our commitment to providing an inclusive and respectful workplace.

Additional Information

At Accesa you can

Enjoy our holistic benefits program that covers the four pillars that we believe come together to support our wellbeing, covering social, physical, emotional wellbeing, as well as work-life fusion.

• Physical Wellbeing: Our wellbeing program includes medical benefits, gym support, and personalized fitness options for an active lifestyle, complemented by team events and the Healthy Habits Club.
• Work-Life Fusion: In very dynamic industries such as IT, the line between our professional and personal lives can quickly become blurred. Having a one-size-fits-one approach gives us the flexibility to define the work-life dynamic that works for us.
• Emotional Wellbeing: We believe that to maintain our overall health, we need to invest in our mental wellbeing just as much as we do in our physical health, social connections or in achieving work-life balance
• Social Wellbeing: As a growing community in a hybrid environment, we want to ensure we remain connected not just by the great work we do every day but through our passions and interests

Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time.

Mark43 is a public safety technology company trusted by over 200 police forces worldwide. We build cloud-native software on AWS that police forces and emergency services rely on in their most critical moments, from managing custody records to dispatching officers in the field.

Our UK team of 25 is based in Central Manchester, helping British police forces replace outdated, fragmented systems with modern, resilient software. We’re part of a 400-person global company, but the UK team operates with startup energy: small enough that your work is visible, big enough that you’re backed by serious investment.

We’re hiring Senior Software Engineers who want to build systems that genuinely matter.

What You’ll Do

You’ll work across the full stack, building the software that UK police custody suites depend on every day. Our team owns features end-to-end, from database migration to UI and our stack includes:

• Frontend: React, TypeScript
• Backend: Java, Spring Boot
• Data: MySQL, GraphQL
• Infrastructure: AWS, Kubernetes, Argo CD, Terraform
• Observability: Datadog

We’re also genuinely investing in how AI changes the way we build software. We don’t just use Copilot for autocomplete. We’re building agentic workflows into our development process, using tools like Claude Code to automate routine work, accelerate code review, and let engineers focus on the problems that actually need human judgement. If you’re excited about shaping how a team works with AI, not just using it, this is the place.

If you were on the team last week, you might have:

• Designed and shipped a new workflow for custody officers processing detainees, from GraphQL schema through to React components

• Investigated a production issue using Datadog traces and logs, then pushed a fix the same day

• Paired with a teammate to untangle a tricky state management problem in a booking form

• Built an agentic workflow that reviews PRs, learns from human feedback, and posts weekly engineering highlights to Slack, all automatically

• Managed a cross-team feature end-to-end — designed the architecture, broke work into parallel workstreams, and coordinated junior engineers to deliver on time

• Reviewed a pull request, spotted a change that would unintentionally affect other parts of the app, and directed a safer approach in the comments

• Prototyped a new idea at one of the hackathons we run twice a year, a chance to experiment with new tech, explore wild ideas, and ship something fun with no constraints

What You’ll Need

You write clean, maintainable code and care about the impact of your work. We’re an AI-first team. AI tools are part of how we work every day — writing code, reviewing pull requests, investigating issues, and automating routine work. We expect you to be comfortable working alongside AI and keen to push what’s possible with it.

You should have:

• Professional software engineering experience, including ownership of complex systems and delivery of large-scale technical initiatives

• Experience mentoring and supporting other engineers

• Strong technical judgement and the ability to make architectural decisions

• Experience leading projects across multiple teams or domains, influencing technical direction beyond your immediate area

• A strategic mindset, with the ability to balance immediate delivery with long-term technical health

• Experience with our stack: Java, JavaScript, TypeScript + React, and MySQL

• Experience with AI-assisted development tools like Claude Code and how they can improve your workflow

• A strong sense of ownership and accountability for both technical outcomes and team success

• Confidence operating in ambiguous environments and helping teams navigate technical trade-offs

• A collaborative mindset and strong communication skills

What We Offer

• 28 days holiday plus UK bank holidays

• Private medical, dental, and vision insurance through AXA Health and BUPA, fully paid for you and your dependents

• 18 weeks paid parental leave (gender-neutral, for both primary and secondary caregivers) plus a ramp-back programme

• Income protection (75% of salary) and death in service cover (4x salary), fully paid

• Pension through Nest with 3% employer contribution

• Gym reimbursement for you and your partner

• Equipment allowance to set up your home office

• AI tooling including Claude Code Enterprise, Microsoft Copilot, and ChatGPT Enterprise licences provided

• Spring Health membership with therapy sessions and mental wellness tools, fully covered

• Company performance-based bonus

• Paid sabbatical of one month at your five-year anniversary

• Biannual hackathons, learning budget, and a team that genuinely invests in your growth

What We Value

• Humility. You know the best ideas win, no matter where they come from. You ask questions before making assumptions and you’re as happy being wrong as being right, because either way, the team gets to a better answer.

• Inclusivity. You respect expertise in all its forms and actively seek out perspectives different from your own. You make space for others and assume good intent.

• Excellence. You care about quality in your code, your reviews, and how you communicate. You’re not satisfied with “it works” when it could be better, and you encourage the same standard in those around you.

• Diligence. You take ownership, mind the details, and understand that the software we build is used in moments that genuinely matter. You don’t cut corners when people are depending on the outcome.

Location

This role is based at our Central Manchester office and follows a hybrid work model.

Applicants must be authorised to work in the UK. We are unable to sponsor or take over sponsorship of an employment visa at this time.

This role may require you to complete Non-Police Personnel Vetting (NPPV) security clearance up to level 3.

We feel passionately about equal pay for equal work, and transparency in compensation is one vehicle to achieve that. Total compensation for this role is market competitive, including a target base annual salary range of £90k-125k, plus bonus opportunity, company stock options, and a full benefits package. Please note that the higher end of this range will be reserved for candidates with appropriate experience who reside in high cost of labormarkets.

Mark43 is approved to hire in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, California (excluding San Francisco), Colorado, Connecticut, Washington D.C., Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift.

Our Privacy Notice describes how Mark43 uses and protects the personal information of prospective employees during the recruitment process. It informs you about our handling of the personal information you provide to us when you apply for a position in our organization and in general when you express your interest in joining our team.

As a part of Mark43’s security measures all employees must: Engage in appropriate use of the company’s electronic information resources; Become knowledgeable about and follow relevant security policies and guidelines; Protect the resources under their control, such as passwords, computers, and data that they create, receive, or download; and Promptly report security-related incidents and violations, and responding to official reports of security incidents involving their systems or accounts.

Mark43 is committed to the full inclusion of all qualified individuals. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment, we will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed, please email recruiting@Mark43.com requesting the accommodation.

Company Description

Devexperts works with respected financial institutions, delivering products and tailor-made solutions for retail and brokerage houses, exchanges, and buy-side firms. The company focuses on trading platforms and brokerage automation, complex software development projects, market data products, and IT consulting services.

Job Description

We are looking for a Senior/Staff Backend Engineer to join the team.

Out client is a global B2B financial technology organization dedicated to democratizing access to financial independence around the world. The project has evolved into a global platform offering trading of US equities, mutual funds, ETFs, fixed income, and options.

Our culture blends the pace and agility of a fintech start-up with the impact, stability, and discipline of Wall Street. We ensure code quality by performing careful code reviews and various types of testing.

We expect the Senior/Staff Backend Engineer to:

• Be responsible for leading the design, development, and implementation of the brokerage systems.
• Work closely with the engineering team and other stakeholders.
• Create scalable, low-latency, and highly available trading systems.

Qualifications

Must-have skills:

• 6+ years of backend development experience with expertise in Java,
• Background in financial technology or capital markets is required,
• Solid understanding of system design principles,
• Proven experience implementing sophisticated event-driven architectures with Kafka (or similar) and Kubernetes,
• Strong understanding of CI/CD and automated testing frameworks,
• Proficient in No SQL, SQL such as in Postgres/MySQL,
• Solid understanding of TDD and how to write effective unit/integration tests,
• B2+ English to be able to communicate with a US customer.

Nice-to-have skills:

• Domain knowledge in options and margin trading
• Experience with AWS stack,
• Experience with Linux and writing scripts to extract and transform data,
• Experience working in high-load systems,
• Understanding trade-offs in distributed systems.
• Hands-on experience in concurrent programming.

Our interview process typically includes:

1. Recruiter screening
2. Tech interview (Devexperts)
3. Tech interview (Client)
4. Final call + offer (collect feedback + present the offer)

Additional Information

Care for the employees is one of Devexperts’ core values. For the suggested position, we offer a benefits package that will guarantee the comfort of our new teammate.

Work Regime Flexibility benefits:

• Possibility ofhybrid/remote work mode,
• Flexible working hours.

Health and recreation benefits:

• Fully paid additional wellness days (3 unwell days per year),
• Medical insurance for the employees and children,
• Reimbursement of fitness / Urban Sports Club Membership,
• Meal allowance (Coverflex Card),
• Flexpay system (Coverflex).

Facility benefits:

• Modern office with new equipment,
• PlayStation, table football, and musical instruments in the office,
• Parking spaces/transport reimbursement,
• Free drinks and snacks.

Community benefits:

• Teambuilding activities,
• Corporate parties,
• Football Club,
• Music club,
• Speakers’ club,
• Free admission to corporate external events,
• Possibility of joining conferences and professional fairs,
• Personal branding development support.

Professional training benefits:

• Local language courses for foreign employees,
• Unlimited access to self-learning platforms,
• Certification opportunities,
• Mentorship Program.

Social benefits:

• Parental bonus,
• Pension plan (Coverflex),
• Referral bonus,
• Blood donation paid leave.

Description

**This is an opportunity to join our growing cloud infrastructure practice and shape how Emergent delivers DevOps to our clients. This position is fully remote (indefinitely). **

Emergent Software is looking for a DevOps Architect to lead the technical direction of our DevOps practice within the cloud infrastructure team. A qualified candidate has deep experience with Azure infrastructure, Infrastructure as Code, and CI/CD, paired with a track record of authoring standards, mentoring engineers from mixed backgrounds, and representing technical practices in client-facing pre-sales conversations. This 100% remote position is for someone who enjoys building the playbook as much as executing on it, and who can move comfortably between writing IaC modules, reviewing a junior engineer’s pull request, and leading an architecture discussion with a client’s CIO.

Highlights & Benefits of working at Emergent Software

• Work closely with other talented engineers and team members. Our vetting process means you can count on your team members to know what they are talking about.

• Work from home or work remotely from anywhere you want

• Flexible work schedule meaning you can work regular hours or choose weekends and evenings

• Work-life balance is essential and highly valued at Emergent Software. If you choose to work more than 40 hours, you’ll be compensated for the extra work!

• Shape a growing practice. The demand for our DevOps services is expanding quickly, and this role has direct influence over how the team scales.

• 100 hours per year to focus on your professional development. We invest in your growth!

• Grow your career without leaving the tech track. At Emergent Software, you can advance and be recognized as a technical expert without transitioning into people management. We value deep technical expertise as much as leadership and have established clear career paths for those who want to stay hands-on.

• Profit sharing bonus means as we’re successful, you’re successful

• Excellent benefits package including medical insurance, dental, vision, 401(k) matching, FSA, disability, life insurance, and paid parental leave

Typical Tech Stack

• Microsoft Azure (compute, networking, identity, PaaS)

• Terraform, Bicep, and Ansible for Infrastructure as Code

• Azure DevOps and GitHub Actions for CI/CD

• PowerShell, Bash, and Python for automation and tooling

• Azure Kubernetes Service (AKS), Azure Container Apps (ACA), and Docker where containerization is required

• Azure Monitor, Log Analytics, and Application Insights for observability

• Azure Policy, Defender for Cloud, and Entra ID for governance and security

Primary Duties

• Own the technical direction of Emergent’s DevOps practice, including the IaC standards, pipeline patterns, code review expectations, and reference architectures that the team applies across client engagements.

• Author and maintain the internal documentation, templates, and modules that the team relies on day to day. This is a core part of the role, not a side task.

• Mentor a team of engineers from mixed backgrounds, including software developers growing into cloud roles and traditional cloud engineers building DevOps fluency. Pair, review pull requests, run office hours, and raise the technical bar across the group.

• Lead the most complex DevOps engagements end to end, from discovery through delivery, with a focus on environments where scale, regulatory requirements, or legacy constraints demand strong technical judgment.  This includes grooming backlog work and feature & task assignments to project team as well as influence technical direction across practice areas.

• Represent the DevOps practice in pre-sales. Partner with sales and account teams to scope work, lead technical discovery sessions, contribute to proposals, and build client confidence in Emergent’s approach.

• Continuously evolve Emergent’s DevOps practice by evaluating new tools, patterns, and approaches, and bringing the right ones into the team’s standard playbook.

• Diagnose and improve existing client systems that may be partially implemented or inconsistently managed, balancing pragmatic delivery with long-term maintainability.

• Accurately track time and work performed to support client billing, project planning, and overall project health, as part of a professional services delivery model.

• Strong time management skills to be able to prioritize workload, meet deadlines, and provide technical support and guidance for other DevOps focused team members.

• Share your knowledge at regular talk shop and lunch & learn sessions to help build a stronger team.

• Other related duties as assigned by your manager.

Required Qualifications

• 8+ years of hands-on experience with cloud infrastructure, with deep expertise in Microsoft Azure across compute, storage, and governance

• Deep networking expertise in Azure, including designing topologies from the ground up (segmentation strategy, hub-and-spoke or virtual WAN, cross-region connectivity, on-premises integration), as well as working fluently with virtual networks, ExpressRoute, VPN Gateways, and private endpoints. Comfortable diagnosing connectivity issues across hybrid environments.

• Strong identity and security fundamentals, including Entra ID, RBAC, managed identities, and secure access patterns

• Advanced experience authoring production Infrastructure as Code, including modular Terraform or Bicep with strong opinions on idempotency, reuse, environment parity, and safe change management

• Proven track record designing and operating CI/CD pipelines at scale using Azure DevOps, GitHub Actions, or comparable tooling

• Experience designing disaster recovery and high availability strategies in Azure, including defining RTO and RPO targets, multi-region patterns, and failover testing

• Experience designing for cost efficiency at scale, including tagging strategies, reservation and savings plan planning, and ongoing FinOps practices

• Demonstrated experience writing and maintaining technical standards and internal documentation that other engineers actively use. Be prepared to share examples.

• Experience mentoring engineers, including those transitioning into cloud or DevOps from adjacent backgrounds

• Comfortable leading client-facing technical conversations, including pre-sales discovery and architecture reviews

• Previous consulting or professional services experience

Nice to Have Experience

• Experience leading a DevOps or platform engineering practice at a consulting firm, system integrator, or internal platform team

• Working directly with customer teams of various sizes, from small businesses to enterprise

• Familiarity with the .NET ecosystem and the deployment patterns associated with it

• Experience with AKS and Kubernetes in production

• Experience implementing DevSecOps practices, including secret management, policy as code, and supply chain security

• Familiarity with Zero Trust Network Access (ZTNA) and Global Secure Access patterns

• Familiarity with third-party observability platforms such as Datadog, New Relic, or Grafana, which clients may bring into their environments

• Relevant Microsoft and industry certifications such as AZ-400, AZ-305, Terraform Associate or Professional, GitHub Actions or Copilot, or Certified Kubernetes Administrator

Our Vetting Process

At Emergent Software, we work hard to find the best people capable of delivering high quality services to our clients. If you think you’re one of those, please understand that the effort put into this by people like yourself helps us be successful in surrounding you with other top-notch people. Here are the steps of our vetting process for this position:

1. Application (5 minutes)

2. Online Assessment (40-50 minutes)

3. Initial Phone Interview (45-60 minutes)

4. Hiring Manager Interview (30 minutes)

5. Take Home Challenge

6. Technical Interview (60 minutes)

7. Job Offer

Benefits Package Details

• Medical Insurance: up to 84% of your monthly medical premium (HSA options available)

• HSA Contribution: up to $200/month

• Dental & Vision Insurance: up to 50% of your monthly dental and vision premium costs

• 401(k) plan: company match up to 4% of salary

• Profit sharing bonus: up to 15% of salary paid quarterly

• Extra compensation: get paid extra for work over 40 hours/week

• Employee referral & customer referral bonuses

• Flex Spending Account (FSA) for Dependent Care & Healthcare Costs

• Short Term Disability: $500/week for 12 weeks

• Long Term Disability: up to $6,000/month

• Group term life and AD&D insurance: $50k

• PTO, standard holidays, 2 floating holidays

• Paid parental leave

• Staff development program: 100 hours/year plus training costs

About Emergent Software

Emergent Software is a fast-growing software development, cloud consulting, and data engineering company serving clients across the country. We are regularly adding to our team of talented software engineers, cloud architects, data engineers, UX designers, technical product owners and more who can help us deliver high quality services for our clients.

We are a remote-first company

Since our inception, we’ve embraced a remote-friendly culture, promoting work flexibility beyond the norm. When the pandemic struck in 2020, our transition to fully remote work was seamless—just a matter of cleaning out the fridge. Recognizing an opportunity, we adopted a remote-first approach and began hiring talent from anywhere. We continue to offer our signature Minnesota-nice, Midwest-friendly attitude, ensuring everyone feels valued, whether or not they’re familiar with the skyway system.

Your career grows with us

Working with talented people on interesting projects creates an engaging environment for software development enthusiasts. By working directly with our experienced team, participating in our staff development program, and solving complex problems across a variety of projects, you’ll find numerous opportunities for long-term career growth.

At Emergent Software, your ideas will be heard, you will grow exponentially as a master of your craft, and you will enjoy working other dedicated team members to deliver software solutions for our clients.

Check out what others say

Visit our Glassdoor page to discover how employees enjoy our remote working structure, flexible hours, profit sharing program, and more!

#EmergentSoftware

#IND2

An Introduction to Primer

Primer is the unified infrastructure for global payments. We give finance and payments teams the visibility and control to reduce complexity, improve performance, and capture more revenue - all from a single platform.

Backed by Sofina, Peak XV Partners, ICONIQ, Tencent, Accel, and Balderton, we’re building the payments layer the world’s best companies rely on.

Watch our showcase >

Read up on our $100m Series C

Learn more about our culture >

Which team will you be joining?

A Primer payment is worth so much more than a regular payment.

In the Orchestration team we build the engine that powers intelligent, seamless, and reliable payments — across any provider, method, or market. We own the full orchestration layer: routing decisions, fallback logic, and the smart infrastructure that makes every payment perform at its best.

This team covers everything from checkout and payment processing through to tokenization, authentication, fallback logic, developer tooling, and workflows.

As a Backend Engineer L3 you will work within a small, high-calibre team of engineers who own their work end to end. You’ll report into the Engineering Manager for Orchestration and contribute to systems that handle real payment volume at scale.

What will you be doing?

• Take full ownership of backend features from scoping through to production, keeping the team informed on progress, risks, and blockers without being chased.

• Design and deliver backend services that handle real payment volume, with a strong focus on reliability, performance, and correctness at scale.

• Contribute to architecture discussions, bring proposals to the engineering council, and advocate for clear service contracts and simple, maintainable system design.

• Monitor the production impact of your own work, identify issues early, and drive incidents to resolution when they arise.

• Write code that your peers consider high quality: production-ready, well-considered on error paths, and built with the next engineer in mind.

• Actively contribute to Primer’s engineering standards, raise concerns when you see gaps, and help the team hold a consistent bar.

• Collaborate with engineers across the Orchestration team on scoping sessions, code reviews, and technical decisions that shape how the system evolves.

What we’re looking for

• Solid backend engineering experience, with the ability to take ambiguous requirements and deliver working, production-ready software with minimal direction.

• Strong grasp of distributed systems fundamentals: you understand why things fail in production and you build accordingly.

• Comfortable working with REST APIs and the patterns that make services reliable, observable, and easy to reason about.

• Experience owning work end to end — not just writing code but thinking about monitoring, rollout, and what happens after deployment.

• The confidence to contribute to architecture discussions, ask the right questions, and push back when a design decision doesn’t make sense.

• Experience in a payments, fintech, or infrastructure context is a plus, though depth of engineering matters more than the specific industry.

You may not like it here

• Primer is remote-first. There is no office to fall back on when you want context, direction, or a sense of how things are going. You need to be good at operating without those signals.

• We do not over-engineer our processes. If something is unclear, you’re expected to resolve that ambiguity yourself rather than wait for someone to remove it.

• The Orchestration codebase is not simple. You will inherit technical complexity and will be expected to deal with it thoughtfully, not just work around it.

🚫 You may not like it here if:

• You enjoy working in an office-setting, we are remote-first and always will be!

• You are not comfortable with shifting context and navigating ambiguity

✅ A typical interview process

• An initial intro call with a Talent Partner

• An interview with the Hiring Manager

• Challenge Stage - Contextualised to the role

• A final, values-alignment interview

What’s the culture like at Primer?

We’re building a culture where people can come and do their best work and enjoy it. We want our people to be proud of the impact that they have at Primer, and of the work that they are doing. You will be working with a team of people who are mission-driven, smart, and reflective, and who are invested in building exceptional products and delivering success for our merchants (and we also know how to have fun along the way).

We work remotely. We believe that building a successful, profitable company goes beyond proximity. We invest in our relationships with each other through great remote working practices and thoughtfully designed face-to-face time together. Our heads-together time comes in the form of workations, our annual company retreat, and co-working space access worldwide.

Finally, let’s go ahead and say it. The work that we do is challenging. Scaleups are a challenge, building category defining products is a challenge. You should be prepared for a challenge at Primer. But, there’s a big difference between a challenge and a struggle. The key difference is that the right challenge comes with the right support structures, an acceptance that not everything always goes to plan, a collaborative environment, and a great team around you. It’s never a challenge that you will face alone.

Our benefits

🌍 We are fully remote and globally distributed; and have been since day one

💰 Competitive share options

🌴 Uncapped holiday, with 25 days minimum to be taken

🗣️ Co-working space access

📅 Workations & Company Retreat

💻 The best equipment for your role

🏠 £500 towards your home office setup

🔎 Generous learning budget

🏥 Private Medical Insurance

📈 A broad set of additional perks and benefits ( depending on location)

Don’t meet every single requirement?

At Primer, we’re dedicated to building a diverse, inclusive, and authentic workplace. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply.

You may be the right candidate for this or other roles. Primer is committed to the equal treatment of all current and prospective employees, regardless of background or beliefs.

Primer adopts a zero-tolerance approach to discrimination. We are committed to providing equal opportunities to all current and prospective employees regardless of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership.

Description

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

We are developing a highly scalable media intelligence platform that processes, analyzes, and structures large volumes of multimedia content across text, image, video, and audio. As a Senior Applied ML Engineer, you will architect and build the core backend systems that power media ingestion, processing workflows, metadata generation, AI-based analysis, semantic search, and retrieval across large media libraries.

We are looking for a Senior Applied ML Engineer who can design, implement, optimize, and evaluate a production-grade moderation pipeline using open-source models.

This role requires deep backend engineering expertise, strong system design capability, and practical experience integrating AI/ML systems into production workflows. You will work on complex media-processing pipelines, video/audio analysis, OCR, speech-to-text, embedding generation, vector search, multimodal model integrations, and high-throughput asynchronous workloads. You will collaborate closely with engineering leadership to define backend architecture, improve reliability and scalability, and guide other engineers in delivering secure, observable, and high-performance systems.

Responsibilities

Backend Architecture & System Ownership

• Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production-ready systems.

• Own critical backend components end to end, from system design and API contracts through implementation, deployment, monitoring, and iteration.

• Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, search, observability, cloud infrastructure, and model-serving workflows.

• Design data models and storage patterns for media assets, generated metadata, embeddings, processing jobs, model outputs, search indexes, and audit trails.

• Design high-throughput media ingestion and processing pipelines for large volumes of video, audio, image, and text content.

• Build distributed, event-driven workflows for media processing using queues and pub/sub systems such as SQS, Kafka, Pub/Sub, or equivalent technologies.

• Implement reliable asynchronous processing patterns, including retries, idempotency, dead-letter queues, backpressure handling, and fault-tolerant job execution.

AI/ML Integration & Model Workflows

• Lead the development and optimization of metadata extraction, content analysis, scene detection, transcription, embedding generation, and multimodal AI inference workflows.

• Integrate and optimize AI/ML services within backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene analysis, multimodal inference, batching, caching, and fallback strategies.

• Collaborate with ML engineers, data scientists, or external model providers to benchmark models, compare quality/latency trade-offs, and safely roll out model upgrades.

Model Serving & Performance Optimization

• Optimize AI/ML inference workflows for latency, throughput, reliability, and cost across both real-time and batch-processing paths.

• Work with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services to improve batching, concurrency, warmup behavior, timeout handling, autoscaling, and GPU utilization.

• Evaluate and apply practical model optimization techniques such as quantization, model distillation, batching, caching, prompt optimization, and routing to smaller or cheaper models where appropriate.

• Design and maintain vector search and indexing systems using technologies such as Pinecone, Weaviate, Qdrant, Elastic Vectors, FAISS, pgvector, or similar tools.

• Build retrieval workflows that support semantic search, similarity matching, duplicate detection, media discovery, and structured metadata search.

• Monitor model and system performance in production, including API latency, queue depth, processing time, model error rates, GPU utilization, confidence distributions, drift signals, and cost per processed item.Search, Indexing & Data Retrieval

Infrastructure, Reliability & Observability

• Deploy and operate systems on AWS, GCP, Azure, or equivalent cloud platforms, including compute, storage, networking, queues, model-serving infrastructure, and monitoring systems.

• Ensure system reliability through logging, metrics, tracing, alerting, dashboards, operational runbooks, and incident-response best practices.

Collaboration & Engineering Leadership

• Collaborate with product, design, data, and ML teams to deliver media-rich, AI-powered product features.

• Mentor junior and mid-level engineers, support technical planning, review designs, and raise engineering quality across the team.

• Participate in code reviews, documentation, technical planning, and continuous improvement of engineering practices.

• Ensure code quality through testing, peer review, clear documentation, and maintainable implementation patterns.

Requirements

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

• 5-7+ years of backend engineering experience, ideally building scalable distributed systems, media platforms, data pipelines, or high-throughput backend services.

• Prior experience owning major backend modules end to end, including architecture, implementation, deployment, monitoring, and production operations.

• 3 + years of experience integrating AI/ML inference systems into backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene detection, or multimodal model outputs.

• Hands-on experience creating AI-powered processing pipelines for image, video, audio, or text analysis.

• Practical experience with production model optimization, especially for image, video, embedding, or multimodal models, including batching, caching, quantization, prompt optimization, routing strategies, latency reduction, and cost optimization.

• Prior experience with vector search, semantic search, media retrieval, or similarity-matching systems is strongly preferred.

• Experience mentoring engineers, leading technical discussions, and influencing architectural decisions across backend, infrastructure, and AI/ML workflows.

Technical Skills

• Strong expertise in Python and/or Node.js with Deep understanding of building scalable RESTful APIs and backend architectures

• Experience with HuggingFace transformers ecosystem and deep learning frameworks such as PyTorch and TensorFlow.

• Strong experience with SQL/NoSQL databases, schema design, and data modeling

• Preferred Exposure to distributed systems, microservices, asynchronous processing, and event-driven patterns with SQS, Pub/Sub, Kafka, or other queueing/pub-sub systems

• Experience deploying production systems on AWS, GCP, or similar cloud platforms

• Knowledge of infrastructure patterns (compute, storage, networking, observability)

AI/ML Integration

• Experience orchestrating embedding generation, scene detection, OCR, speech-to-text, image classification, video analysis, and multimodal model integrations.

• Experience optimizing inference workflows for latency, throughput, reliability, and cost.

• Experience working with scalable and optimized inference settings, including tuning sampling parameters, managing output‑length formats, and configuring reasoning‑related behaviors.

• Familiarity with practical model optimization techniques such as batching, caching, quantization, model distillation, prompt optimization, fallback routing, and use of smaller models where appropriate.

• Experience working with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services is preferred.

• Experience working with LLM and Multi-modal evaluation and benchmarking frameworks and domain‑specific benchmarks with the ability to interpret results and optimize model performance accordingly.

System Design & Architecture

• Preferred understanding of distributed systems, scaling patterns, and performance engineering

• Ability to design modular, maintainable, and efficient architectures

• Experience with API versioning, modularization, and designing long-running workflows

• Understanding of performance bottlenecks and low-latency backend patterns

Important information for candidates

Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/

• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.

• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.

• Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io

• We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

Description

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.

Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About the job

We are developing a highly scalable media intelligence platform that processes, analyzes, and structures large volumes of multimedia content across text, image, video, and audio. As a Senior Applied ML Engineer, you will architect and build the core backend systems that power media ingestion, processing workflows, metadata generation, AI-based analysis, semantic search, and retrieval across large media libraries.

We are looking for a Senior Applied ML Engineer who can design, implement, optimize, and evaluate a production-grade moderation pipeline using open-source models.

This role requires deep backend engineering expertise, strong system design capability, and practical experience integrating AI/ML systems into production workflows. You will work on complex media-processing pipelines, video/audio analysis, OCR, speech-to-text, embedding generation, vector search, multimodal model integrations, and high-throughput asynchronous workloads. You will collaborate closely with engineering leadership to define backend architecture, improve reliability and scalability, and guide other engineers in delivering secure, observable, and high-performance systems.

Responsibilities

Backend Architecture & System Ownership

• Architect, build, and operate scalable backend services for a media intelligence platform, with a focus on clean, maintainable, and production-ready systems.

• Own critical backend components end to end, from system design and API contracts through implementation, deployment, monitoring, and iteration.

• Drive architectural decisions across APIs, processing pipelines, distributed compute, storage, search, observability, cloud infrastructure, and model-serving workflows.

• Design data models and storage patterns for media assets, generated metadata, embeddings, processing jobs, model outputs, search indexes, and audit trails.

• Design high-throughput media ingestion and processing pipelines for large volumes of video, audio, image, and text content.

• Build distributed, event-driven workflows for media processing using queues and pub/sub systems such as SQS, Kafka, Pub/Sub, or equivalent technologies.

• Implement reliable asynchronous processing patterns, including retries, idempotency, dead-letter queues, backpressure handling, and fault-tolerant job execution.

AI/ML Integration & Model Workflows

• Lead the development and optimization of metadata extraction, content analysis, scene detection, transcription, embedding generation, and multimodal AI inference workflows.

• Integrate and optimize AI/ML services within backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene analysis, multimodal inference, batching, caching, and fallback strategies.

• Collaborate with ML engineers, data scientists, or external model providers to benchmark models, compare quality/latency trade-offs, and safely roll out model upgrades.

Model Serving & Performance Optimization

• Optimize AI/ML inference workflows for latency, throughput, reliability, and cost across both real-time and batch-processing paths.

• Work with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services to improve batching, concurrency, warmup behavior, timeout handling, autoscaling, and GPU utilization.

• Evaluate and apply practical model optimization techniques such as quantization, model distillation, batching, caching, prompt optimization, and routing to smaller or cheaper models where appropriate.

• Design and maintain vector search and indexing systems using technologies such as Pinecone, Weaviate, Qdrant, Elastic Vectors, FAISS, pgvector, or similar tools.

• Build retrieval workflows that support semantic search, similarity matching, duplicate detection, media discovery, and structured metadata search.

• Monitor model and system performance in production, including API latency, queue depth, processing time, model error rates, GPU utilization, confidence distributions, drift signals, and cost per processed item.Search, Indexing & Data Retrieval

Infrastructure, Reliability & Observability

• Deploy and operate systems on AWS, GCP, Azure, or equivalent cloud platforms, including compute, storage, networking, queues, model-serving infrastructure, and monitoring systems.

• Ensure system reliability through logging, metrics, tracing, alerting, dashboards, operational runbooks, and incident-response best practices.

Collaboration & Engineering Leadership

• Collaborate with product, design, data, and ML teams to deliver media-rich, AI-powered product features.

• Mentor junior and mid-level engineers, support technical planning, review designs, and raise engineering quality across the team.

• Participate in code reviews, documentation, technical planning, and continuous improvement of engineering practices.

• Ensure code quality through testing, peer review, clear documentation, and maintainable implementation patterns.

Requirements

Education & Experience

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

• 5-7+ years of backend engineering experience, ideally building scalable distributed systems, media platforms, data pipelines, or high-throughput backend services.

• Prior experience owning major backend modules end to end, including architecture, implementation, deployment, monitoring, and production operations.

• 3 + years of experience integrating AI/ML inference systems into backend workflows, including model APIs, embedding pipelines, OCR, speech-to-text, scene detection, or multimodal model outputs.

• Hands-on experience creating AI-powered processing pipelines for image, video, audio, or text analysis.

• Practical experience with production model optimization, especially for image, video, embedding, or multimodal models, including batching, caching, quantization, prompt optimization, routing strategies, latency reduction, and cost optimization.

• Prior experience with vector search, semantic search, media retrieval, or similarity-matching systems is strongly preferred.

• Experience mentoring engineers, leading technical discussions, and influencing architectural decisions across backend, infrastructure, and AI/ML workflows.

Technical Skills

• Strong expertise in Python and/or Node.js with Deep understanding of building scalable RESTful APIs and backend architectures

• Experience with HuggingFace transformers ecosystem and deep learning frameworks such as PyTorch and TensorFlow.

• Strong experience with SQL/NoSQL databases, schema design, and data modeling

• Preferred Exposure to distributed systems, microservices, asynchronous processing, and event-driven patterns with SQS, Pub/Sub, Kafka, or other queueing/pub-sub systems

• Experience deploying production systems on AWS, GCP, or similar cloud platforms

• Knowledge of infrastructure patterns (compute, storage, networking, observability)

AI/ML Integration

• Experience orchestrating embedding generation, scene detection, OCR, speech-to-text, image classification, video analysis, and multimodal model integrations.

• Experience optimizing inference workflows for latency, throughput, reliability, and cost.

• Experience working with scalable and optimized inference settings, including tuning sampling parameters, managing output‑length formats, and configuring reasoning‑related behaviors.

• Familiarity with practical model optimization techniques such as batching, caching, quantization, model distillation, prompt optimization, fallback routing, and use of smaller models where appropriate.

• Experience working with model-serving systems such as vLLM, Triton, TGI, SageMaker, Vertex AI, or custom inference services is preferred.

• Experience working with LLM and Multi-modal evaluation and benchmarking frameworks and domain‑specific benchmarks with the ability to interpret results and optimize model performance accordingly.

System Design & Architecture

• Preferred understanding of distributed systems, scaling patterns, and performance engineering

• Ability to design modular, maintainable, and efficient architectures

• Experience with API versioning, modularization, and designing long-running workflows

• Understanding of performance bottlenecks and low-latency backend patterns

Important information for candidates

Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:

• Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/

• Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.

• Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.

• Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io

• We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.

Company Description

Devexperts works with respected financial institutions, delivering products and tailor-made solutions for retail and brokerage houses, exchanges, and buy-side firms. The company focuses on trading platforms and brokerage automation, complex software development projects, market data products, and IT consulting services.

Job Description

We are looking for a Senior/Staff Backend Engineer to join the team.

Out client is a global B2B financial technology organization dedicated to democratizing access to financial independence around the world. The project has evolved into a global platform offering trading of US equities, mutual funds, ETFs, fixed income, and options.

Our culture blends the pace and agility of a fintech start-up with the impact, stability, and discipline of Wall Street. We ensure code quality by performing careful code reviews and various types of testing.

We expect the Senior/Staff Backend Engineer to:

• Be responsible for leading the design, development, and implementation of the brokerage systems.
• Work closely with the engineering team and other stakeholders.
• Create scalable, low-latency, and highly available trading systems.

Qualifications

Must-have skills:

• 6+ years of backend development experience with expertise in Java,
• Background in financial technology or capital markets is required,
• Solid understanding of system design principles,
• Proven experience implementing sophisticated event-driven architectures with Kafka (or similar) and Kubernetes,
• Strong understanding of CI/CD and automated testing frameworks,
• Proficient in No SQL, SQL such as in Postgres/MySQL,
• Solid understanding of TDD and how to write effective unit/integration tests,
• B2+ English to be able to communicate with a US customer.

Nice-to-have skills:

• Domain knowledge in options and margin trading
• Experience with AWS stack,
• Experience with Linux and writing scripts to extract and transform data,
• Experience working in high-load systems,
• Understanding trade-offs in distributed systems.
• Hands-on experience in concurrent programming.

Our interview process typically includes:

1. Recruiter screening
2. Tech interview (Devexperts)
3. Tech interview (Client)
4. Final call + offer (collect feedback + present the offer)

Additional Information

Care for the employees is one of Devexperts’ core values. For the suggested position, we offer a benefits package that will guarantee the comfort of our new teammate.

Work Regime Flexibility benefits:

• Possibility ofhybrid/remote work mode,
• Flexible working hours.

Health and recreation benefits:

• Fully paid additional wellness days (3 unwell days per year),
• Medical insurance for the employees and children,
• Reimbursement of fitness / Urban Sports Club Membership,
• Meal allowance (Coverflex Card),
• Flexpay system (Coverflex).

Facility benefits:

• Modern office with new equipment,
• PlayStation, table football, and musical instruments in the office,
• Parking spaces/transport reimbursement,
• Free drinks and snacks.

Community benefits:

• Teambuilding activities,
• Corporate parties,
• Football Club,
• Music club,
• Speakers’ club,
• Free admission to corporate external events,
• Possibility of joining conferences and professional fairs,
• Personal branding development support.

Professional training benefits:

• Local language courses for foreign employees,
• Unlimited access to self-learning platforms,
• Certification opportunities,
• Mentorship Program.

Social benefits:

• Parental bonus,
• Pension plan (Coverflex),
• Referral bonus,
• Blood donation paid leave.

An Introduction to Primer

Primer is the unified infrastructure for global payments. We give finance and payments teams the visibility and control to reduce complexity, improve performance, and capture more revenue - all from a single platform.

Backed by Sofina, Peak XV Partners, ICONIQ, Tencent, Accel, and Balderton, we’re building the payments layer the world’s best companies rely on.

Watch our showcase >

Read up on our $100m Series C

Learn more about our culture >

Which team will you be joining?

A Primer payment is worth so much more than a regular payment.

In the Orchestration team we build the engine that powers intelligent, seamless, and reliable payments — across any provider, method, or market. We own the full orchestration layer: routing decisions, fallback logic, and the smart infrastructure that makes every payment perform at its best.

This team covers everything from checkout and payment processing through to tokenization, authentication, fallback logic, developer tooling, and workflows.

As a Backend Engineer L3 you will work within a small, high-calibre team of engineers who own their work end to end. You’ll report into the Engineering Manager for Orchestration and contribute to systems that handle real payment volume at scale.

What will you be doing?

• Take full ownership of backend features from scoping through to production, keeping the team informed on progress, risks, and blockers without being chased.

• Design and deliver backend services that handle real payment volume, with a strong focus on reliability, performance, and correctness at scale.

• Contribute to architecture discussions, bring proposals to the engineering council, and advocate for clear service contracts and simple, maintainable system design.

• Monitor the production impact of your own work, identify issues early, and drive incidents to resolution when they arise.

• Write code that your peers consider high quality: production-ready, well-considered on error paths, and built with the next engineer in mind.

• Actively contribute to Primer’s engineering standards, raise concerns when you see gaps, and help the team hold a consistent bar.

• Collaborate with engineers across the Orchestration team on scoping sessions, code reviews, and technical decisions that shape how the system evolves.

What we’re looking for

• Solid backend engineering experience, with the ability to take ambiguous requirements and deliver working, production-ready software with minimal direction.

• Strong grasp of distributed systems fundamentals: you understand why things fail in production and you build accordingly.

• Comfortable working with REST APIs and the patterns that make services reliable, observable, and easy to reason about.

• Experience owning work end to end — not just writing code but thinking about monitoring, rollout, and what happens after deployment.

• The confidence to contribute to architecture discussions, ask the right questions, and push back when a design decision doesn’t make sense.

• Experience in a payments, fintech, or infrastructure context is a plus, though depth of engineering matters more than the specific industry.

You may not like it here

• Primer is remote-first. There is no office to fall back on when you want context, direction, or a sense of how things are going. You need to be good at operating without those signals.

• We do not over-engineer our processes. If something is unclear, you’re expected to resolve that ambiguity yourself rather than wait for someone to remove it.

• The Orchestration codebase is not simple. You will inherit technical complexity and will be expected to deal with it thoughtfully, not just work around it.

🚫 You may not like it here if:

• You enjoy working in an office-setting, we are remote-first and always will be!

• You are not comfortable with shifting context and navigating ambiguity

✅ A typical interview process

• An initial intro call with a Talent Partner

• An interview with the Hiring Manager

• Challenge Stage - Contextualised to the role

• A final, values-alignment interview

What’s the culture like at Primer?

We’re building a culture where people can come and do their best work and enjoy it. We want our people to be proud of the impact that they have at Primer, and of the work that they are doing. You will be working with a team of people who are mission-driven, smart, and reflective, and who are invested in building exceptional products and delivering success for our merchants (and we also know how to have fun along the way).

We work remotely. We believe that building a successful, profitable company goes beyond proximity. We invest in our relationships with each other through great remote working practices and thoughtfully designed face-to-face time together. Our heads-together time comes in the form of workations, our annual company retreat, and co-working space access worldwide.

Finally, let’s go ahead and say it. The work that we do is challenging. Scaleups are a challenge, building category defining products is a challenge. You should be prepared for a challenge at Primer. But, there’s a big difference between a challenge and a struggle. The key difference is that the right challenge comes with the right support structures, an acceptance that not everything always goes to plan, a collaborative environment, and a great team around you. It’s never a challenge that you will face alone.

Our benefits

🌍 We are fully remote and globally distributed; and have been since day one

💰 Competitive share options

🌴 Uncapped holiday, with 25 days minimum to be taken

🗣️ Co-working space access

📅 Workations & Company Retreat

💻 The best equipment for your role

🏠 £500 towards your home office setup

🔎 Generous learning budget

🏥 Private Medical Insurance

📈 A broad set of additional perks and benefits ( depending on location)

Don’t meet every single requirement?

At Primer, we’re dedicated to building a diverse, inclusive, and authentic workplace. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply.

You may be the right candidate for this or other roles. Primer is committed to the equal treatment of all current and prospective employees, regardless of background or beliefs.

Primer adopts a zero-tolerance approach to discrimination. We are committed to providing equal opportunities to all current and prospective employees regardless of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership.

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology.  Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward.  Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter.  We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

The role

We’re looking for a System Integration Engineer to lead the integration and bring-up of cutting edge autonomous vehicle platforms. In this role, you’ll work across hardware and software boundaries to prototype, assemble, and test complex systems both in-vehicle and on development benches. You will also support vehicle integration development and issue troubleshooting to improve the performance and reliability of our next-generation systems.

Key responsibilities:

• Integration and bring-up of autonomous systems on internal and partner vehicles
• Architect, prototype and evaluate new hardware systems
• Support fleet troubleshooting and issue resolution
• Inform and improve system integration processes and workflow
• Bring-up and maintain of development benches and HIL systems

About you

In order to set you up for success as a System Integration Engineer at Wayve, we’re looking for the following skills and experience.

Essential:

• 7+ years experience integrating and developing complex systems
• Breadth of technical comprehension across electrical, mechanical, and software systems
• Proven hands-on experience debugging and assembling hardware/software systems
• Excellent communication and collaboration skills across engineering disciplines
• Multidisciplinary troubleshooting skills with a strong sense of ownership and initiative
• Bachelor’s degree in Electrical Engineering, Mechanical Engineering, or equivalent experience.

Desirable:

• Experience working on autonomous vehicles, robotics, or similar advanced systems

• Skilled in prototyping electronics, wire harnesses, and custom hardware components

• Comfortable working in Linux environments and with scripting tools

• Ability to read and understand code in languages such as C++, Python, or JavaScript

• Experience using application level software for testing, flashing, and triaging issues

• Working with suppliers and contract manufacturers for design validation and manufacturing

This is a full-time role based in our office in Sunnyvale, CA.  At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

At Wayve we’re committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition  (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Headquarters: India - Bangalore

SummaryRequires specialized depth and/or breadth of expertise in own job discipline or field. • Leads others to solve complex problems. • Works independently, with guidance in only the most complex situations. • May provide functional leadership to teams or projects. Encourages others to listen attentively and engage with the speaker by asking appropriate open[1]ended questions; reflects on and reiterates key points and clarifies messages to help others reach agreement. • Monitors non-verbal reactions of others to identify and respond to areas of interest or concern. • Ensures all viewpoints have been heard and discussed before reaching conclusions, offering guidance or asserting own views. • Influences and coaches others across the business unit/function to work independently and identify areas for improvement in work processes. • Encourages and motivates people to achieve high standards of excellence by consistently raising the bar and coaching others to achieve results. • Sets challenging and realistic goals for others; proactively considers the business unit/function’s goals to prevent conflicts of interests and communicates goals to teams. • Provides guidance and expertise to analyze data and patterns and assess the root cause of complex, non-routine problems. • Collaborates with others across disciplines to brainstorm and execute solutions to the most complex, uncommon problems. • Guides the execution of solutions for complex, non-routine issues; redirects solution implementation if desired results were not originally met. • Creatively develops tools, visual aids and other original content to support the understanding/education of complex and technical information (e.g., legal, operational risk, and regulatory data). • Guides others on the best practices and approaches for creating clear, concise and organized communication materials to convey technical concepts in a user-friendly way. • Challenges others to bring fresh and creative perspective to differentiating technical communications and ensuring comprehension and ease-of-use for various audiences. • Exceeds customers’ expectations by listening for unexpressed needs; connects customer needs to relevant service offerings and new technology. • Leads others in resolving technical issues in a timely manner; follows up with customers to ensure satisfaction. • Partners with the business to integrate new technologies into business solutions; creates and communicates a vision of the technology requirements for the future state of the business. • Prioritizes workload and ensures that deadlines are successfully met; delegates or seeks additional staff when necessary. • Identifies short- and long-term barriers to completing project plans and takes corrective action to meet deliverable objectives. • Manages multifaceted projects or assignments, such as projects that have several separate components, with minimal error and without missing important deliverables. KnowledgeDevOps Skill Baseline Coding• Scripting/ Programing language/ Configuration Management/ Container (1 or more at 100 level)• Continuous Integration / Continuous Deployment• VCS (Git Based VSC)• family with commit, branch, merge, review process• understand pre/post hook• design/implement branching strategy (e.g., git flow, GitHub flow)• design/implement group development collaboration process (access control, code review/approval, integration with other CI tools)• Artifact Repository• familiar with one of the popular antifactory management tools• CI/CD tools• implement CI services (VCS, antifactory repo, build, release)• Design/implement CI/CD pipeline• Operating System familiar with Linux or Windows OS• Cloud Skill Baseline• Automation• IaC• use cloud IaC language to implement cloud resources or operation process• use orchestration tools to organize IaC code and inject configurations• CI/CD• Implement CI services (VSC, Artifacts repo, build service pipeline service)• implement CI/CD pipeline to build/deploy infrastructure or application• design/implement best practice CI/CD• Landing Zone (Multi Account Framework)• Identity Access Management (IAM)• Security ‘• Networking Compute (VM, Container platform, Function)• Virtual Machine workload• Implement serverless solution for operational purpose• Data storage, Database• configuration management• Secret Management• Monitoring and Logging• Message QueuesWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

To apply: https://weworkremotely.com/remote-jobs/rackspace-azure-devops-engineer-ii-iii

Headquarters: São Paulo, State of São Paulo, Brazil

Company Description

About the Business Division:

This role sits within Doctors.net.uk, a subsidiary of M3 Inc. Doctors.net.uk is the UK's largest professional network of doctors; a closed community used by over 50,000 doctors daily and with a total membership of over 245,000. Products range from a trusted email communications platform to robust news and educational web pages along with our world-class sponsored pharmaceutical content and doctors’ own user-generated content. Our mission is to continually improve these offerings as well as identifying new ways to support our community of doctors throughout their careers.

Job Description

• Plan, lead and actively contribute to the development of web/mobile applications in an agile environment
• Take ownership of understanding of the whole system and take responsibility for teaching this to others
• Alongside other senior members of the team, contribute to the strategy and architectural decisions that support the growth of the services we offer to our members and clients
• Provide technical support and mentoring to junior team members
• Find ways to improve system robustness, resilience, and stability

Qualifications

• Experience in full stack JavaScript .NET stack development utilizing either Node.JS or .NET Core and Web API
• Commercial experience working with web applications in a containerized environment, in particular Docker
• Commercial experience working with content management (CMS) systems.
• Demonstratable experience architecting web based solutions and introducing new technologies and tooling into existing systems and processes
• Experience designing and developing applications utilising databases such as Postgres, MongoDB, MSSQL
• Experience with front-end web development technologies such as ReactJS, VueJS, AngularJS, MVC
• Experience supporting and mentoring junior developers with technical queries and best practice
• Excellent communication skills
• Self-motivated and delivery focused
• Good understanding of Agile process

Desirable

• Experience utilizing/configuring/maintaining microservice container orchestrations platforms such as Mesos/Marathon, Kubernetes
• Experience working with ReactJS component libraries
• Experience building out CI/CD frameworks and build pipelines
• Experience of mobile app development frameworks
• Experience of serverless services such as AWS Lambda or Jamstack
• Experience working with PHP (WordPress)
• Experience of using services provided by AWS/Azure

Additional Information

About M3 EU:

M3 EU is at the forefront of healthcare innovation, offering digital solutions across healthcare, life sciences, pharmaceuticals, and more. Since our inception in 2000, we’ve seen remarkable growth, fuelled by our mission to utilize the internet for a healthier world and more efficient healthcare systems.

Our success is anchored in our trusted digital platforms that engage physician communities globally, facilitating impactful medical education, precise job placement, and insightful market research. M3 EU prides itself on a dynamic and innovative work environment where every team member contributes to global health advancements.

Joining M3 EU means being part of a dedicated team striving to make a significant difference in healthcare. We provide a unique opportunity for you to be at the cutting edge of healthcare innovation, shaping the future in a meaningful career. Embrace the chance to drive change with M3 EU.

#LI-JG1

#LI-Remote

To apply: https://weworkremotely.com/remote-jobs/m3usa-senior-full-stack-developer

Headquarters: New York City
URL: https://sanctuary.computer

We are hiring a contract-based Senior Frontend Developer for the garden3d creative collective with a focus on West Coast candidates.                                                                                                                                                                                                         

Original job posting link

About garden3d

We are worker owned creative collective, innovating on everything from brands and IRL communities to IoT devices and cross platform apps. We share profit, open source everything, spin out new businesses, and invest in exciting ideas through financial and/or in-kind contributions.

Our client roster includes Google, Stripe, Figma, Hinge, Black Socialists in America, ACLU, Pratt, Parsons, Mozilla, The Nobel Prize, MIT, Gnosis, Etsy & Gagosian.

We’re the software team behind innovative products like The Light Phone & Mill, and we operate a global, decentralized community space collective called Index Space.

We think of our garden3d as collective for creative people, prioritizing a happy, talented, and diverse studio culture. We work on projects that bring value to our world, and we balance deep care for the work we do with a genuine curiosity about life outside of our jobs.

Who we’re looking for:

We're looking for a Senior Frontend Developer who excels at building pixel-perfect websites using modern frontend frameworks. You'll collaborate with our team to build elegant, performant, and visually stunning web experiences. Your work will span a diverse range of client projects, from immersive brand websites to complex web applications, all requiring a keen eye for detail and technical excellence.

This hiring effort will focus on Front-End Developers based in the U.S. West Coast. Candidates in the Pacific Time zone are preferred (LA/SF proximity is a plus). We are also open to candidates located in the Mountain Time zone.

In this role, you’ll work on a variety of client projects to find cost-effective, high-quality, pragmatic solutions to complex problems. Responsibilities will include:

• Collaborating with Technical Lead to meet clients' development needs
• Building and maintaining high-performance web applications with modern frontend frameworks and tools
• Implementing responsive, accessible, and pixel-perfect user interfaces based on design specifications
• Integrating frontend applications with headless CMS platforms, APIs, and third-party services
• Optimizing application performance, including bundle size, load times, and runtime efficiency
• Architecting scalable component libraries and design systems for consistency across projects
• Writing clear documentation for code maintenance and usage
• Participating in project team meetings, including Sprint Planning, daily standups, and retrospectives
• Participating in code reviews, providing constructive feedback to teammates and ensuring adherence to best practices

The person we’re looking for is happy, relaxed and easy to get along with. They’re flexible on anything except conceits that will lower their usually outstanding work quality. They work “smart”, by carefully managing their workflow and staggering features that have dependencies intelligently — they prefer deep work but are OK coming up to the surface now and then for top level / strategic conversations.

We believe people with backgrounds or interests in design, art, music, food or fashion tend to have a well rounded sense of design & quality — so a variety of hobbies or side projects is a big nice to have!

Must Have Competencies:

We’re always pitching for new and exciting technology niches. Some of the areas below are relevant to us!

• 8+ years writing highly performant frontend code, an obsession for 95+ Lighthouse scores
• Expert level experience with Typescript, and one of Next.js, Nuxt, Svelte, Vue
• Extensive experience with headless CMS like Sanity, Contentful, Prismic or more
• Fluency in industry standard PaaS like Vercel, Netlify, Firebase, etc
• Fluency in eCommerce technologies like Shopify (headless & liquid), Stripe, Swell and others
• Experience building accessible, responsive interfaces with attention to performance optimization and SEO best practices
• Strong understanding of modern CSS methodologies (Tailwind, CSS Modules, etc) and animation libraries
• Experience with state management solutions (Redux, Zustand, Pinia) and API integration patterns
• Proficiency with testing frameworks (Jest, Playwright, Cypress) and commitment to writing maintainable, well-documented code
• Experience with design systems and component libraries, working closely with designers to ensure pixel-perfect implementations
• Real-time & performance optimization: experience with WebSockets for live data updates, caching strategies (Redis, CDN-level caching), CDN configuration and optimization (Cloudflare, Fastly), and image optimization techniques including proxies and delivery networks

Nice to Have Competencies:

We’re always pitching for new and exciting technology niches. Some of the areas below are relevant to us!

• WebGL & Canvas expertise: experience building interactive graphics, animations, and visualizations using WebGL, Three.js, or native Canvas API
• Data visualization: creating compelling, interactive data visualizations with libraries like Mapbox, D3.js, Chart.js, or similar tools
• Full-stack development experience: comfortable working across the entire stack, from frontend to backend and database layers
• PostgreSQL expertise: strong experience with database design, query optimization, and managing complex relational data structures
• GraphQL & API design: building and maintaining GraphQL or REST APIs with a focus on performance and developer experience
• Real-time technologies: experience with WebSockets, Server-Sent Events, or similar technologies for building live, interactive features
• Authentication & security: implementing secure authentication flows (OAuth, JWT) and following security best practices
• Client-facing experience: working directly with customers to gather requirements and provide technical solutions
• Product management experience: defining product roadmaps and collaborating closely with stakeholders
• Engineering management experience: leading teams, setting technical direction, and mentoring developers

Compensation

Our pay scale ranges from $100/hr to $130/hr pending seniority (& team leadership experience), and our projects are rarely less than 8 full time weeks at 40 hours per week.

We prefer long standing relationships with highly accountable and communicative team members, so we encourage candidates to expect longer term engagements.

How we interview:

Our interview process starts with a call where you get to meet a few members of our team. From there we’ll ask appropriate candidates to take part in a technical exercise which helps illustrate skill level and comfort.

‍ How we work:

We believe that there’s a better balance between the poles of freelancing & full time, and for that reason Sanctuary works differently to most shops:

• Transparency & Ownership: We release out Profit & Loss statements to the community each year, open source our best ideas, and talk business & money with everyone in the company. We’re proud to run our business with integrity, and for that reason we share everything with our team & community.
• **150% Carbon Negative:** Our studio offsets 150% of the carbon we use to do business each year, dated back to our founding in 2015. We turn down work that is not in-line with our morals, and we encourage our peers to do the same. We have been certified climate neutral since 2021.
• **Strong Morals:** Since our founding, we've turned down somewhere between $1mm - $2mm of work that didn't meet our moral standards. (Most of that was DTC brands that can't show a valid sustainability initiative).
• Async & Decentralized: We use tools optimized for calm, thoughtful communication, and opt for async whenever possible. We fight hard to maintain our focus time.
• Remote Friendly: Our company is fluent in remote work, making our workplace more decentralized, and democratized in the process.
• Ideas & Products: In our spare studio time, we work to build our own open source or internal products to diversify & bolster our income. We create amazing technology products for our clients, so why not for the studio?

Important Reminders

Kindly submit a complete and thoughtful application, including relevant links that help verify your work experience and identity. Applications with missing or insufficient information will not move forward in the review process.

Our team carefully reviews every complete submission, and we truly appreciate the time and effort you put into applying.

To apply: https://weworkremotely.com/remote-jobs/sanctuary-computer-senior-frontend-developer-2

Headquarters: Egypt

Job Description

We are looking for a highly skilled Full Stack Developer with expertise of high-performance and scalable websites using Next.js, React, along with experience in SQL, NoSQL databases and CMS frameworks. In this role, you will be responsible for implementing and maintaining high-performance web applications and you will collaborate closely with cross-functional teams to deliver innovative, responsive, and SEO-friendly web applications that align with business goals. This role requires deep technical expertise, leadership skills, and a passion for modern web development.

Key Responsibilities:

• Design, develop, and maintain web applications using Next.js and React.

• Manage MongoDB and NoSQL database design, ensuring scalability and efficiency.

• Implement and optimize deployment workflows using deployment platforms like Vercel and Netlify.

• Define and enforce Git best practices by establishing branching strategies, code review guidelines, and CI/CD workflows to ensure a scalable and efficient development process (e.g., Github, GitLab)

• Optimize applications for performance, security, and scalability.

• Debug, troubleshoot, and resolve application issues effectively.

• Write clean, maintainable, and well-documented code following industry best practices.

• Collaborate with designers and product managers to define and refine features.

• Stay updated on emerging technologies and best practices in Full Stack Development.

Required Skills and Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

• 5+ years of experience as a Full Stack Developer or in a similar role.

• Expertise in Next.js and React for front-end development.

• Proficiency in TypeScript for scalable application development.

• Strong proficiency in JavaScript, HTML5, and CSS3.

• Hands-on experience with SQL, NoSQL databases (e.g., PostgreSQL, MongoDB).

• Hands-on experience with CMS frameworks (e.g., Contenful, Strapi).

• Proficiency in deployment platforms and environment management (e.g., Vercel, Netlify)

• Experience using git repository for version control, CI/CD, and team collaboration (e.g., Github, GitLab).

• Solid understanding of RESTful APIs and GraphQL and their integration.

• Familiarity with Agile development methodologies and Scrum/Kanban workflows.

• Strong analytical and problem-solving skills with attention to detail.

• Excellent communication and teamwork skills.

Preferred Skills :

• Experience with serverless architecture and cloud platforms (e.g., AWS, Azure).

• Familiarity with testing frameworks (e.g., Jest, Cypress) and test-driven development (TDD).

• Understanding of SEO best practices in web development.

• Experience with containerization technologies (e.g., Docker, Kubernetes).

To apply: https://weworkremotely.com/remote-jobs/visualis-senior-full-stack-developer