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Senior software engineer builds and maintains cutting-edge systems and infrastructure.
Senior QA Engineer builds and maintains automated test infrastructure for web and mobile applications using Playwright and Maestro, owning product quality across the development lifecycle.
Ready to make travel easier for millions? Airalo is the world’s first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What’s in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; www.notion.so/airalo-public/Benefits-25396a97ffca81fb9bc1f0be479f1be3
Hi, I’m Daniele, VP of Engineering at Airalo!
Engineering drives Airalo’s eSIM platform. We build the product that lets millions of people connect instantly across the globe. The challenges are exciting: high-scale systems, carrier integrations, and products spanning both B2C and B2B. What matters most to us is creating an environment where engineers can do their best work. Real ownership, autonomy, and a direct link between what you ship and business outcomes are key. You’ll work with smart, motivated people who take their craft seriously. If you want to build things that matter at global scale, this is where you do it.
Airalo’s fully remote Engineering team is growing. In this role, you’ll tackle complex technical challenges across our product ecosystem, helping build, innovate, and scale the platform that keeps millions of travellers connected worldwide.
As a Senior QA Engineer, you will join a highly collaborative team focused on an ambitious mission: bringing new users to Airalo and helping them seamlessly connect globally. In this role, you won’t just test isolated features—you will truly own product quality end-to-end, checking quality across all stages of development from initial design to release and post-launch monitoring. You will partner closely with fast-moving growth and marketing squads to support swift, high-impact product experimentation while scaling our core automation frameworks.
If you are interested in this position, please apply via the link.
By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: www.airalo.com/more-info/privacy-policy?srsltid=AfmBOooBT0rXAj1FaNelZ3VfN0wvhwzvAoxdtHnOKSVETpiSjiXVuycy
We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process.
At Airalo, we use AI-assisted tools as part of our recruitment process. Your application will be reviewed using tools that help our recruiters analyze and organize CV information. These tools support, but do not replace, human judgment; all hiring decisions are made by humans. If you progress to an interview, we may use tools to generate AI-assisted notes -Â you can opt out of these. For more information on how we handle your data, please see our Privacy Policy: https://www.airalo.com/more-info/privacy-policy.
Senior full-stack developer designs, builds, and scales web applications using React, Rails, and modern cloud infrastructure to deliver AI-powered enterprise solutions.
Accellor is an AI-native services firm purpose-built for the post-ChatGPT era. Free from legacy constraints, we focus on delivering measurable business outcomes through advanced AI, data, and engineering capabilities. Our mission is to operationalize AI at scale and unlock sustained enterprise value.
Our offerings span AI solutions, data services, enterprise applications, and product engineering, tailored to industry-specific needs across healthcare, life sciences, telecom, retail, financial services, and technology. By leveraging design thinking and technology-agnostic architectures, we ensure faster time-to-value and seamless interoperability.
With a proven track record of enabling Fortune 100 enterprises and global innovators, Accellor stands as a trusted partner for organizations seeking to harness the full potential of AI. Our vision is clear: to build intelligent, connected ecosystems that deliver measurable outcomes and redefine the future of enterprise transformation.
We’re looking to hire strong Senior Software Engineers (multiple roles) with a passion for engineering to join our Product team to help us scale our platform and deliver cutting edge capabilities to our customers.
This person will be an integral part of the team that designs, builds and innovates our product. The right candidate will collaborate with a phenomenal group of software engineers, data scientists, product managers, and quality engineers to deliver and scale a transformational software product.
This role requires working from 4:30pm-1:30am IST remotely, to support a US customer.
Technologies and tools we use:
Technical Requirements:
Exciting Projects:Â We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centres.
Work-Life Balance: Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development:Â Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits:Â We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
Senior backend engineer designs and maintains scalable, secure systems in Golang/TypeScript on AWS, mentors developers, and builds AI-powered platforms.
Job Title: Senior Golang / TypeScript Engineer
Key Skills: Golang, TypeScript, REST APIs, AWS, CI/CD, NoSQL, RDBMS, DDD, Hexagonal Architecture, AI Platforms
Experience: +8 YOE.
Location: Costa Rica
Mode: Remote
We at Coforge are hiring Senior Golang / TypeScript Engineer (#21223) with the following skill set.
Key Responsibilities
Required Skills & Qualifications
Preferred Skills:
Posted On: 29-5-2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Senior backend engineer designs and deploys scalable cloud-based systems using Go, GCP, Kubernetes, and microservices while mentoring junior engineers.
Job Title: Senior Backend Developer – Go / Platform
Key Skills: Go (Golang), GCP, Microservices, REST APIs, gRPC, Kubernetes, Docker, Distributed Systems, Kafka, Google Pub/Sub, NoSQL, Relational Databases, GitOps, DevOps
Experience: +7 years of experience.
Location: Costa Rica
Mode: Remote
We at Coforge are hiring Senior Backend Developer – Go / Platform (#19695) with the following skill set
Key Responsibilities
Required Skills & Qualifications
Preferred Skills
Posted On: 29-5-2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Senior iOS engineer designs and develops mobile navigation experiences in Swift, collaborates with backend and product teams, and contributes to product strategy for Bolt's mapping systems.
We are looking for a seasoned iOS Engineer to join the Geo Navigation team and help shape the future of maps and navigation for drivers and couriers. This involves exciting product challenges, such as building seamless turn-by-turn navigation experiences, collaborating closely with product-design and backend teams, and supporting the migration of rider and eater maps to our internal solution. You’ll have the opportunity to contribute to the development of backend-driven UI and transform how millions of users interact with our mapping and navigation systems.
About usWith over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it’s all thanks to our people.
We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.
Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!
About the roleAs an iOS Engineer, you will be responsible for designing, developing, and deploying mobile solutions that improve the turn-by-turn navigation experience for our drivers and couriers. That will mostly happen via coding in Swift, combining elements of backend-driven UI.
Mobile engineers at Bolt usually get onboarded to back-end as well within their first year, so this could be a great opportunity if you are keen to grow as a full-stack engineer. All engineers at Bolt have a heavy inclination towards product thinking, so you will get a chance to shape up and drive exciting product initiatives yourself, in partnership with your Product Manager and the rest of the Geo Navigation team!
Main tasks and responsibilities:Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying!
Why you’ll love it here:* Some perks may differ depending on your location and role.
#LI-Hybrid
Senior engineer designs and ships scalable data-intensive systems, mentors junior engineers, and drives cross-team technical execution for Instacart's advertising and data collaboration platform.
We’re transforming the grocery industry
At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.
Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.
Instacart is a Flex First team
There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.
The Ads DSE team builds the core capabilities that power Instacart’s off-platform advertising, secure data collaboration (cleanrooms), automated taxonomy management, and their associated platform foundations. We are hiring a Senior Engineer II (L6) to co-own the technical roadmap, modernize our data solutions infrastructure, scale off-platform integrations and measurement capabilities, extend our cleanroom collaboration capabilities, and automate taxonomy change management workflows. This role is pivotal for cross-team collaboration, developer productivity, and AI-driven development initiatives.
You are a senior technical leader who designs and ships scalable, data‑intensive systems; drives cross‑team execution; and raises engineering standards. You’ll partner closely with Product, Data Science, Data Platform, and Governance teams to build reusable abstractions and deliver high‑impact features across our pillars: Off‑platform, Data collaboration (cleanrooms), Ads Taxonomy, Platform, and New Initiatives (AI). You will mentor L4/L5 engineers, act as an IC tech lead (no direct reports), and help define a future on‑call model and SLOs.
Technical leadership and roadmap
Pillar execution
AI‑first engineering
Product quality, privacy, and security
Mentorship and collaboration
Proven senior‑level impact
Backend and data engineering
Ads/cleanrooms/privacy
Platform excellence
AI fluency (must‑have)
Collaboration and communication
Why this role is a great opportunity….
#LI-Remote
Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.
Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.
For Canadian based candidates, the base pay ranges for a successful candidate are listed below.
CAN
$196,000—$207,000 USD
Senior Python engineer owns backend systems, APIs, and infrastructure for an optimization platform serving network planning and vehicle scheduling.
At Flix, we offer a tech-driven environment where innovation meets real-world impact, with competitive pay, strong growth opportunities, and a culture of collaboration and ownership.
We’re looking for an experienced Senior Python Engineer (m/f/d) to join our Supply Division. You’ll make an impact by taking ownership of core backend systems that power our network planning optimization product. Your work will directly support network planners in scheduling vehicles, drivers, and timetables — improving travel experiences for millions of passengers while driving profitability.
Our team builds and maintains an optimization platform addressing use cases from vehicle and driver scheduling to timetable optimization. We follow modern system design — Domain-Driven Design, Hexagonal Architecture, and SOLID principles — with strict architectural boundaries enforced by tooling. Our backend workloads (APIs, event consumers, Kubernetes jobs) are built to scale with high code quality standards.
The product’s algorithm engine is developed by Operations Research Engineers using mathematical optimization. As a Senior Python Engineer, you will own the engineering shell around these algorithms: the APIs, use cases, data pipelines, infrastructure, and the domain models that connect optimization output to the rest of the system.
You’ll collaborate closely with other engineering teams to design and implement the interfaces and contracts that connect our platform to the wider system landscape.
Our current tech stack and toolset include:
About the Role
About You
We recognize that everyone carries a unique set of valuable skills and experiences. If you think you could have an impact even though you don’t meet 100% of the requirements, we still encourage you to apply. We want to hear from you!
What We Offer
To view more local benefits specific to each office location, please check out this link:Â Locations - Flix Career
Why Join Flix?
At Flix, we empower our teams to push boundaries and shape the future of mobility. As we continue to scale globally, we harness cutting-edge technology to make mobility smarter, more sustainable, and more affordable.
If you’re looking for a place where you can drive change and redefine how millions of people travel, Flix is the place where you can lead your journey!
Senior backend engineer designs, builds, and deploys scalable cloud-based systems using Go, GCP, microservices, and Kubernetes while mentoring junior engineers.
Job Title: Senior Backend Developer – Go / Platform
Key Skills: Go (Golang), GCP, Microservices, REST APIs, gRPC, Kubernetes, Docker, Distributed Systems, Kafka, Google Pub/Sub, NoSQL, Relational Databases, GitOps, DevOps
Experience: +7 years of experience.
Location: Peru
Mode: Remote
We at Coforge are hiring Senior Backend Developer – Go / Platform (#19695) with the following skill set
Key Responsibilities
Required Skills & Qualifications
Preferred Skills
Posted On: 29-5-2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Senior backend engineer designs, builds, and deploys high-performance cloud-based systems using Go, GCP, Kubernetes, and microservices architecture while mentoring junior engineers.
Job Title: Senior Backend Developer – Go / Platform
Key Skills: Go (Golang), GCP, Microservices, REST APIs, gRPC, Kubernetes, Docker, Distributed Systems, Kafka, Google Pub/Sub, NoSQL, Relational Databases, GitOps, DevOps
Experience: +7 years of experience.
Location: Bolivia
Mode: Remote
We at Coforge are hiring Senior Backend Developer – Go / Platform (#19695) with the following skill set
Key Responsibilities
Required Skills & Qualifications
Preferred Skills
Posted On: 29-5-2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Designs, builds, and owns mobile applications using React Native while making foundational technical decisions and collaborating across product and engineering teams.
Do you want to change how the world creates?
At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.
Founded in Boston in 2011, and reaching unicorn status in 2018, Formlabs is nowvalued at 2Bn dollars and is one of the leading 3D printer manufacturers in the world. In the Budapest office we are seeking a seasoned Mobile Developer who will define and build mobile applications that transform how users manage, track, and engage with their 3D printers.
The Job:
You:
Bonus Skills:
We Offer:
We build amazing things. Come join us!
We are an equal opportunity employer and value diversity in our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Even if you don’t check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.
Your personal data is processed in accordance with our Privacy Policy. If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at privacy@formlabs.com.
Senior QA automation engineer writes test scripts, validates data integrity, and ensures software quality for cloud-based data systems in a classified environment.
As Sr. Quality Automation Tester II, you’ll provide cross-team QA support to developers supporting a large data centric project
We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessed withour people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.
If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!
What you’ll do:
This role provides critical QA support to a mission-focused engineering and data initiative. The ideal candidate will collaborate with developers, analysts, and cloud engineers to ensure the accuracy, security, and performance of complex data systems. You will help validate data integrity, troubleshoot system workflows, and verify that solutions meet rigorous quality standards in a classified AWS environment.
What you’ll need to succeed:
SALARY RANGE: $106,000 - $138,000
The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including:
To apply for this position, please submit your resume via the form below or through our careers page:Â https://www.metrostar.com/jobs/
Application Deadline: Applications will be accepted on a rolling basis until the position is filled; candidates are encouraged to apply as early as possible for full consideration.
Additional Compensation: This role may also be eligible for bonuses and/or additional incentives based on individual and company performance.
Benefits: All full-time employees are eligible to participate in our benefits programs:
Like we said, we are big fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment based on merit and without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.
What we want you to know:
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
Not ready to apply now?
Sign up to join our newsletter here.
Senior QA automation engineer develops and executes automated test scripts, validates data integrity, and ensures software quality across complex cloud-based data systems.
As Sr. Quality Automation Tester II, you’ll provide cross-team QA support to developers supporting a large data centric project
We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessed withour people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.
If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!
What you’ll do:
This role provides critical QA support to a mission-focused engineering and data initiative. The ideal candidate will collaborate with developers, analysts, and cloud engineers to ensure the accuracy, security, and performance of complex data systems. You will help validate data integrity, troubleshoot system workflows, and verify that solutions meet rigorous quality standards in a classified AWS environment.
What you’ll need to succeed:
SALARY RANGE: $106,000 - $138,000
The salary range for this position is determined based on qualifications, skills, and relevant experience. The final salary offered will be determined based on several factors including:
To apply for this position, please submit your resume via the form below or through our careers page:Â https://www.metrostar.com/jobs/
Application Deadline: Applications will be accepted on a rolling basis until the position is filled; candidates are encouraged to apply as early as possible for full consideration.
Additional Compensation: This role may also be eligible for bonuses and/or additional incentives based on individual and company performance.
Benefits: All full-time employees are eligible to participate in our benefits programs:
Like we said, we are big fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture code and benefits. Plus, check out our accolades.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment based on merit and without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.
What we want you to know:
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.
Not ready to apply now?
Sign up to join our newsletter here.
Senior Cloud Engineer builds integrations for industrial control systems (PLC, SCADA, HMI) using Go and TypeScript, managing vendor SDKs, Windows VMs, and full-stack platform features.
Job Title: Senior Cloud Engineer
Key Skills: Go, TypeScript, PLC, SCADA, HMI, Windows VMs, File Parsing, APIs, Industrial Integrations, CI/CD, Troubleshooting, Virtualization
Experience: +3 years of experience.
Location: Costa Rica
Mode: Remote
We at Coforge are hiring Senior Cloud Engineer (#21243) with the following skill set.
Key Responsibilities
Required Skills & Qualifications
Preferred Skills
Posted On: 29-5-2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Senior full-stack developer builds and maintains web applications using Symfony, Vue.js/Angular/Next.js for US and European startups.
Headquarters: New York, NY
URL: https://lemon.io
Are you a talented Senior Developer looking for a remote job that lets you show your skills and get decent compensation? Look no further than Lemon.io — the marketplace that connects you with hand-picked startups in the US and Europe.
What we offer:
Requirements:
OR
OR
3+ years of experience with Symfony, 2+ years with Next.js, and 3+ years with JavaScript and TypeScript
Strong technical skills: as a Senior Developer, you are expected to be able to create projects from scratch and have a deep understanding of application architecture.
Clear and effective communication in English — advanced ability to discuss business tasks, justify decisions, and communicate issues. Good self-presentation is also essential for upcoming client calls.
Strong self-organizational skills — ability to work full-time remotely with no supervision.
Reliability — we want to trust you and expect that you won’t let us and the client down.
Adaptability and Flexibility — the ability to onboard the project promptly after accepting it and start delivering results quickly.
Sounds good for you? Apply now and join the Lemon.io community!
NOT YOUR TECH STACK?
We have different projects for Senior Full-Stack Developers, so if you have 4+ years of commercial experience in software development and you are fluent with AI Agent Architecture, React & Ruby, PHP & Angular, PHP & Vue, Vue & Node.js, React & .NET, Android & iOS, Angular & .NET, Angular & Node.js, Vue & .NET, Python & Vue, DevOps with Azure DevOps, MLOps, React & Java, Data Science, Blockchain (Web3/Solidity/Solana), Symfony & React, Data Analysis, React & PHP, Data Engineering, AI Engineering, Data Annotation, React & Node, React & Golang, React & Python, Svelte & Python, Svelte & Node, Svelte & TypeScript, Rust, Shopify & JavaScript, Vue & Nuxt, PHP & Laravel, .NET & C#, Unreal Engine & C++, Python & LLM, Unity, Machine Learning Engineering, we would be happy to communicate and provide you with a project that matches your experience. Just apply, and we will share more details with you.
We do not provide visa assistance, and our cooperation model does not include the benefits typically offered with direct hire.
P.S. We work with developers from 71+ countries in different regions: Europe, LATAM, the U.S (if you are an owner of W-9 ben form), Canada, Asia (Japan, Singapore, South Korea, Philippines, Indonesia), Oceania (Australia, New Zealand, Papua New Guinea), and the the UK. However, we have some exceptions.
At the moment, we don’t have a legal basis to accept applicants from the following countries:
We expand and shorten the list of exemptions regularly.
We do not provide visa assistance, and our cooperation model does not include the benefits typically offered with direct hire.
To apply: https://weworkremotely.com/remote-jobs/lemon-io-senior-full-stack-symfony-developer
Senior full-stack engineer builds and ships features across Ruby on Rails backend and React frontend for a creator economy platform's new community feature.
Headquarters: Remote
URL: http://gowalter.co
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
Â
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)
 ÂTo apply: https://weworkremotely.com/remote-jobs/walter-senior-fullstack-engineer-ruby-react
Design and build scalable machine learning systems that process and analyze large volumes of multimedia content across multiple modalities for a fintech platform.
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.
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.
Senior software engineer who collaborates with cross-functional teams to enhance product scalability, deliver features, and support resource management platform development.
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 ÂŁ50,000Â and ÂŁ60,000, depending on experience
Earning potential in the Software Engineer salary band up to £63,650
At least ÂŁ1,000 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*
Design and build scalable ML systems that process and analyze large volumes of multimedia content across multiple modalities for a fintech platform.
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.
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.
Architect and build machine learning systems for a scalable media intelligence platform processing multimedia content at Tether.
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.
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.