Вакансии

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the Team At DoorDash we’re building the industry’s most scalable and reliable delivery network to support our three-sided marketplace of consumers, merchants, and dashers. TPMs on our Engineering teams provide fundamental support to the underlying technology services as well as the engineers building these services. It’s no simple task, but it wouldn’t be interesting if it was! About the Role Money is DoorDash’s organisation responsible for the financial products and infrastructure that enable transactions across DoorDash, Wolt and Deliveroo. The domain owns how consumers pay, how merchants and couriers are paid, and how money is recorded, reconciled and reported, covering payment processing, payment methods, payouts, invoicing, financial ledgers and regulatory compliance. We are looking for a Senior Technical Program Manager to help scale Money Domain. You will lead important engineering wide initiatives across Invoicing Platform, Payment Instruments, amongst others; working with Engineering, Product, Operations, and business leaders to deliver dependable, scalable Money capabilities for the business. Programs will span backend services, partner and merchant integrations, and regulatory / compliance products. They require strong technical judgment, cross organisational coordination, stakeholder management, and ownership of results. You will report into the centralised global Technical Program Management team in Engineering, through a manager based in London. This is a hybrid role based in our London office in Cannon Street. You're excited about this opportunity because you will… Drive Money Domain’s Most Strategic Programs - You will partner closely with Engineering and Product leadership, Strategy & Operations, and cross-functional teams to turn Money Domain’s strategy into executable technical programs. Lead Complex Cross-Organization Execution — Money Domain interacts with capabilities across consumer, merchant, courier, order and enterprise domains, payment processing, payouts, fraud and risk, regulatory compliance, accounting, financial data and platform infrastructure. You will establish clear ownership and milestones, surface critical dependencies and tradeoffs, and drive alignment across teams when the path forward is not obvious. Bring Technical Depth and Systems Thinking - You will develop a deep understanding of the architecture, integrations, data flows, and operational systems behind Money Domain (Financial Systems). You will engage in technical designs, identify scaling and reliability risks, understand how decisions in one part of the system affect end-to-end consumer, rider/ courier, and merchant experiences, and help teams make pragmatic tradeoffs. Turn Ambiguity into Strategy and Action - Many of our hardest problems do not begin with a clean scope or a single owner. You will truth-seek across technical and business inputs, frame the problem, clarify the definition of success, develop a point of view on risks and options, and create an execution path that teams and leaders can align behind. Connect Engineering Execution to Business Outcomes - You will understand the merchant, partner, customer, and economic outcomes behind the work and use that context to guide prioritization and execution. We're excited about you because… You’re experienced in working with engineering teams on  large-scale distributed systems and/or b2b products. You can speak to system architecture, scalability and reliability decisions, and design trade offs. You’re a strong leader with the ability to collaborate and build relationships across organizations, bridge gaps between teams, and successfully influence without authority. You have strong ownership, urgency, and drive. You are willing to roll up your sleeves and dive into the details to understand and drive your programs. You have excellent written & verbal communication skills with the ability to communicate with confidence, clarity, and focus. You can convey concepts and considerations to non-experts and experts alike. You’ve engaged with Engineering teams on product & platform development with a thorough understanding of software development processes and project planning. You are pragmatic and detailed in your approach and focus on progress, not perfection. Qualifications Bachelor’s Degree with experience in Computer Science, Software Engineering or other related discipline. 5+ years recent experience as a Technical Programme Manager at a technology/ FinTech company, in Financial Systems. Experience with regulatory compliance in Financial Systems, e.g. SOX, PSD2, or equivalent would be an advantage. Experience in large-scale distributed systems and system architecture. Experience working directly with engineering teams on product development, with a thorough understanding of software development processes, system architecture, and scalability trade-offs. Project planning and execution skills that include reviewing technical design documents, estimating, and scheduling. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Задачи: — Разрабатывать Android-функции от технического дизайна до продакшена с полной ответственностью. — Участвовать в разработке мобильного продукта, преимущественно на Android, с возможностью сотрудничества с командами Android и iOS. — Формировать архитектуру, участвовать в решениях по слоям данных, управлению состоянием, модульности и паттернам мобильной платформы. — Проводить и принимать код-ревью, обеспечивая честную и конструктивную обратную связь. — Сотрудничать с командами Product, Design, iOS, Android и Backend. — Улучшать существующий код, способствовать миграции на Compose, повышать качество, производительность и поддерживаемость мобильных приложений. — Делиться знаниями, участвовать в технических обсуждениях, распространять лучшие практики. Требования: — Опыт разработки production Android-приложений на Kotlin не менее 4 лет. — Практический опыт с Jetpack Compose и реальными выпущенными функциями. — Глубокое понимание чистой архитектуры, умение объяснять, когда и почему можно нарушать правила. — Опыт создания или значительного развития слоя данных, включая репозитории, кэширование и обработку ошибок. — Опыт работы с Kotlin Coroutines и Flows, REST API или backend-for-frontend паттернами. — Умение ясно объяснять архитектурные решения в команде и в pull request. — Прагматичный подход к балансу качества кода, поддерживаемости и сроков доставки. — Хорошее владение английским языком, так как команда международная. Условия: — Гибридный формат работы в Белграде. — 25 дней отпуска в год. — Частная медицинская страховка. — Множество командных активностей и бонусов. — Бесплатный доступ к LinkedIn Learning и ежегодный бюджет на личное развитие. — Схема участия в прибыли. — Корпоративный телефон (iPhone или Android). — Комфортный офис с 80 парковочными местами. — Отличное оборудование, конкурентная зарплата и дополнительные льготы, включая абонемент в спортзал и скидки в местных магазинах.

Задачи: — Дизайн и построение LLM пайплайнов, AI агентов и RAG-систем с функциями вызова инструментов и структурированным выводом (JSON schema) — Разработка production-grade Python сервисов с использованием Django, Celery, Redis — Валидация продуктовых гипотез на основе реальных данных и аналитики — Измерение и оптимизация качества, производительности и стоимости LLM — Тесное сотрудничество с продакт-менеджерами и инженерами для превращения идей в масштабируемые решения Требования: — Опыт создания production LLM приложений — Практические знания RAG, embeddings, векторного поиска, prompt engineering и оценки LLM — Опыт работы с LangGraph, LangChain или аналогичными фреймворками — Сильный опыт Python backend (Django, PostgreSQL, асинхронное программирование) — Навыки работы с SQL и Pandas, ориентированность на данные — Владение английским языком на уровне B2-C1, русским на уровне C1 — Локация: любой город, кроме России и Беларуси Будет плюсом: — Опыт работы с векторными базами данных (Qdrant, pgvector и др.) — Опыт дообучения, классификации текста или работы с embedding моделями — Опыт с Kubernetes, gRPC или Go Условия: — Удалённая работа — Гибкий график — Профессиональное развитие Компания Mad Devs занимается решением сложных задач и созданием инновационных решений в области AI, проекты охватывают Европу, США и Юго-Восточную Азию. Вакансия направлена на революцию в юридической индустрии с помощью AI.

Location: London, United Kingdom Workplace: fully About InvestEngine We’re a London-based fintech on a mission to make ETF investing simple and accessible. Over 150,000 clients have trusted us with over £3.5 billion in assets — and we’re just getting started. We’ve been featured by Forbes, MoneyWeek, and Finder, and we’re growing fast with big ambitions. About the Role We’re looking for a Middle QA Engineer to join our high-velocity Growth team — o wn quality across the whole customer journey, from landing page and registration through onboarding to analytics, at a high task flow. You’ll work with strict protocols, regulations, and third-party providers to make sure everything runs smoothly. You’ll collaborate with engineers, product managers, marketers, and external partners, often in English. In this role, you’ll take real ownership of building high-quality, resilient features — perfect for someone proactive, detail-oriented, and eager to grow in a dynamic, cross-functional environment. What You’ll Do Manually test frontend and backend features Collaborate with developers and marketers to clarify requirements Proactively identify gaps, propose improvements, and help evolve QA processes Perform basic API testing using Postman Write and run simple SQL queries to validate data Use proxy tools for deeper request/response validation Support regression testing in mobile apps when needed What We’re Looking For 3+ years of manual QA experience, focused on web applications Solid knowledge of test design techniques Hands-on experience testing APIs and working with Postman Technical literacy: HTML/CSS, client-server architecture, and basic debugging Ability to write SQL queries to validate backend logic Confident using proxy tools like Charles or Fiddler Strong critical thinking and analytical skills — not just following test scripts Self-driven, organized, and comfortable working without micromanagement Clear communicator who collaborates well with tech and non-tech teams Nice to Have Experience testing mobile apps (Android/iOS) Interest in building or improving QA workflows and processes Familiarity with automation tools or AI-assisted testing (not required, but a plus) Previous experience in product-first companies or marketing-driven environments How We Work We’re a lean, fast-moving team that values clarity, ownership, and continuous improvement. You’ll be more than just a ticket-tester — you’ll help shape how we build, ship, and maintain quality across the product. We expect initiative, not just execution. At the same time, you’ll have support from experienced QA leads and an open, collaborative culture that encourages experimentation and learning. What We Offer Impact from day one You’ll help ship critical features used by tens of thousands of customers. Room to grow You’ll have the chance to expand your scope — from owning areas of testing to helping shape team-wide QA practices. Modern tools You’ll work with Postman, SQL, and more. And if something’s missing — help us find and adopt it. Transparent and open culture We believe in async-first communication, clear ownership, and team visibility. Supportive team You’ll collaborate with thoughtful, motivated people across engineering, product, and marketing. Remote and flexible We care about outcomes, not location. Work from where you’re most productive. Our Hiring Process Intro call with our Talent team Technical interview with the QA Team Gamified cognitive assessment to understand how you think and problem-solve Final conversation with our QA Lead

Location: Warsaw We're looking for a Senior Infrastructure Engineer who brings strong software engineering skills and a deep understanding of production systems. This role is a good fit for someone who enjoys building systems that make infrastructure more scalable, reliable, and easy to operate – using code, not runbooks. You'll work with a highly collaborative team to design and build the internal platforms that power all of Asana, from product features to AI systems to offline analytics. Our tech stack includes: AWS, Kubernetes (EKS), MySQL (RDS), OpenSearch, DynamoDB, Redis, Terraform, Datadog, TypeScript, Scala, Go, and Python. We’re especially interested in people who think like backend engineers but care deeply about systems – things like failure modes, operational cost, debuggability, and performance. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do, and your recruiter can share more about the in-office requirements. We offer a Contract of Employment (UoP) for our employees in Poland. What you’ll achieve: Design and build frameworks, tools, and services that improve the reliability, observability, and scalability of Asana’s infrastructure. Lead end-to-end projects, from scoping and design through to rollout, across multiple systems and teams. Improve the operability of stateful infrastructure like MySQL, OpenSearch, and DynamoDB – and help drive Asana’s long-term vision for storage reliability. Debug production issues across the stack. Yes, there’s an on-call rotation – but this isn’t a pager monkey role. You’re here to fix things properly and make sure they don’t break again. Partner with product teams to shape a service-oriented architecture that enables fast, reliable development. Share knowledge through code reviews, design discussions, and mentorship. About you: Strong software engineering background – you’re comfortable writing production code and designing systems (we use Go, Python, Scala, TypeScript). 5+ years of experience building and operating backend systems at scale. Familiarity with distributed systems and storage technologies (SQL, NoSQL, Search), especially in cloud environments. Experience with AWS services (e.g. RDS, EKS, IAM), Terraform, and monitoring tooling like Datadog or similar. Solid understanding of SRE principles (e.g. SLIs/SLOs, error budgets, incident response), but you approach reliability as a software problem first. Clear communicator and strong collaborator – you're comfortable navigating trade-offs with stakeholders across the stack. Important: If you’re only comfortable with scripting, this isn’t the right role . We’re looking for engineers who build and ship real systems. Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making Why this role? Founding team: You’ll be one of the first SREs in Warsaw – and a key player in a growing team. Drive real change: This isn’t a role where you’ll just patch up legacy systems. We are expecting (and supporting) real architectural changes to improve reliability, scalability, and long-term operability. Big impact: Our product is scaling fast, and reliability is a top company priority. Room to grow: As this team grows, so will your influence – whether you want to lead projects, mentor others, or help shape how we scale. Global collaboration : Work closely with experienced engineers in San Francisco, Reykjavik, and Warsaw, while helping build the future of SRE at Asana. What we'll offer: Generous, transparent and fair compensation system (base salary and generous Restricted Stock Unit for Asana Inc.). Contract of Employment ( with 50% tax deductible costs for author’s rights usage for Engineers). Health insurance with dental and travel coverage (Lux Med). Lunch catering on the days that you work from the office. Career growth budget. Home office setup budget. Gym/Fitness reimbursement. Fertility healthcare and family-forming support with Carrot . Mental health support in Modern Health. Group life insurance. MacBooks with all necessary accessories. For this role, the estimated base salary range is between 31,000 - 36,000 PLN gross monthly on the contract of employment (UoP). The actual base salary will vary based on various factors and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base compensation range for this role may be modified. Our total compensation consists of base salary and equity (RSUs). #LI-Hybrid #LI-AZ About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Software Engineer, GenAI Platform About the Team Deliveroo's GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalisation to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll set technical direction across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability, and mentor engineers as you go. This role is ideal for a senior engineer who enjoys owning ambiguous, high-impact systems and pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly. You’re excited about this opportunity because you will… Lead the design of infrastructure that helps teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company. Own and evolve our open-weights serving stack — real-time GPU endpoints, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) — alongside the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. Architect scalable, high-performance systems for model serving, batch inference, GPU autoscaling, and fine-tuning that power real customer and internal automation use cases Push the cost and latency frontier of GPU inference — turning batch jobs that took days into hours and cutting inference cost by multiples — while giving product teams a clean choice across open-weight and closed-source models with reliability, fallback, observability, and cost controls built in. Build platforms that support rapid experimentation while meeting production standards for latency, scale, monitoring, SLOs, playbooks, and operational excellence. Partner closely with — and raise the technical bar for — ML engineers, product engineers, data scientists, and platform teams across DoorDash, Wolt, and Deliveroo to turn emerging GenAI capabilities into durable platform primitives. Set technical direction for the future of the company's centralised GenAI platform — including emerging directions such as reinforcement learning (RLHF/RLVR), agent optimisation, and other post-training and agentic techniques — enabling the next generation of AI-powered products, agents, automation, and personalisation. We’re excited about you because… BSc, MSc or PhD in Computer Science or equivalent 5+ years of industry experience in software engineering Deep backend engineering fundamentals, especially in Python and distributed systems. Track record of designing and owning production services, APIs, data pipelines, or ML infrastructure at scale. Experience operating systems in production, including observability, debugging, reliability, incident response, and performance/cost optimization. Deep hands-on experience with LLM inference and/or fine-tuning of open-weight models in production — serving (latency, throughput, batching, autoscaling, GPU utilization) and/or fine-tuning (SFT/DPO/LoRA). Demonstrated technical leadership: leading design across ambiguous, fast-moving technical areas, mentoring engineers, and turning customer use cases into reusable platform capabilities Proficiency in using AI coding tools (e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software Nice To Haves Experience with LLM inference engines and serving frameworks (e.g., vLLM, SGLang, TensorRT-LLM) in production Experience with distributed/multi-node fine-tuning and training pipelines (SFT, DPO/RLHF, LoRA), including data preparation and evaluation GPU performance work — multi-node/distributed inference, KV-cache/memory optimisation, quantisation (FP8/INT8/AWQ/GPTQ), or cold-start/throughput tuning Experience with Kubernetes, cloud infrastructure (AWS/GCP), GPUs, serverless/elastic GPU platforms (e.g., Modal), or high-throughput batch systems Experience with LLM gateways, model routing, vendor abstraction, or cost attribution Experience building developer platforms, internal platforms, or self-serve infrastructure Experience building and deploying AI agents or MCP servers in production Experience with eval systems, LLM observability, tracing, RAG, search, or vector databases Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Remote, Poland; Armenia; Agios Athanasios, Cyprus; Tbilisi, Georgia; Kazakhstan; Portugal; Serbia; Spain Workplace: fully Simple Life is the #1 AI-powered health coaching app for adults who want to lose weight and enjoy a healthier lifestyle-without the stress or extremes. Our mission is to empower people to feel their best every day. By challenging traditional, restrictive approaches, Simple offers a more sustainable method grounded in ease, personalization, and real-life support. Simple has had over 17 million downloads and more than 300,000 5-star reviews, having helped millions lose weight successfully and sustainably. Simple has earned recognition as Best Virtual Coach and one of the Top 100 AI companies — all thanks to a dedicated global team driving real impact. With SIMPLE as a partner in their pocket, users feel cared for and empowered to embrace - and stick to - new healthy habits. To learn more, visit simple.life. We’re looking for a senior, product-minded engineer to join our technical marketing team and build web products, growth tools, integrations, and automation. You’ll own initiatives end to end-from gathering requirements and researching solutions to shaping the UX, defining an MVP, designing the architecture, and shipping to production. We value strong engineering judgment, proactive ownership, and effective use of AI coding agents over a specific stack. What you'll do: Own initiatives: clarify requirements, research options, define MVP scope, and deliver working solutions; Build web applications, APIs, automation, and internal tools using Node.js, Python, or Go; Create clear user flows, prototype interfaces, and turn ideas into intuitive, well-designed products; Make architectural decisions and balance delivery speed, reliability, and maintainability; Configure and improve agent-powered development workflows, integrations, and automated checks; Collaborate with marketing, product, and design; own testing, deployment, releases, and improvements after launch. What we're looking for: 5+ years of professional software development experience, with proven ownership of products or substantial features; Strong backend skills in Node.js / TypeScript, Python, or Go—depth in one and flexibility across others; all three are not required; Hands-on frontend experience with React, Vue, or similar frameworks; Practical UX expertise and UI design skills: user flows, prototyping, usability, and visual consistency; Strong system design skills: architecture, data modeling, APIs, integrations, reliability, and scalability; Deep understanding and hands-on experience with AI coding agents and agent infrastructure: context management, tool integrations, task orchestration, and validation of generated changes Experience turning loosely defined problems into production-ready solutions—not just implementing predefined tickets; Solid knowledge of SQL, relational databases, Git, CI/CD, and cloud infrastructure; Proactive execution, clear communication, and English for documentation and teamwork. Nice to Have: Experience with marketing technology, analytics, experimentation, or growth engineering. Perks and Benefits: Open-minded teams, a welcoming and inclusive company culture, plus the opportunity to make a real difference with a game-changing health tech product. A competitive salary package based on your unique expertise, skillset, and impact on the product plus stock options. Remote and hybrid work opportunities. The equipment whatever you need to be happy and productive. A premium SIMPLE subscription. 21 days annual leave, plus bank holidays (those observed where you live). Flexible hours. We focus on your results, not how long you spend at your desk. About our values: Think deeper: We understand that in order to grow we need to make all our decisions reality-based and change our opinion based on what we learn. We appreciate data coming in various forms – quantitative and qualitative, feedback from users and colleagues, and strong and weak signals.We treat data as the main source for leveraging insights and expect people at every level to have conversations that start with data. Focus on impact: Results and speed matter. When we are competing to become an A-player in the digital health market, we don’t have the luxury of deliberation. We need to make decisions and changes quickly and, swiftly learn from our mistakes.We prioritize what will have the greatest impact and aren’t distracted by anything else. We create products that benefit users while we are meeting our metrics. Take ownership: We seek to improve all facets of our company even in ways beyond our job description. We seek and take responsibility for our actions and their impact. We value and set high expectations for our own work so that it can add to the overall quality and innovation results of the team. Each one of us is empowered to make this company a success, take the lead to resolve disagreements and systemic issues. Push the limits: We encourage our team to explore new ideas, challenge conventional thinking, and continuously improve work. This mindset can lead to breakthroughs in product development, improved operational efficiency, and increased competitiveness in the market. We believe that a culture and mindset of constantly striving to exceed existing standards, boundaries, or expectations that include innovation, experimentation, and a willingness to take risks, can bring us success. We don't accept what someone says as truth if we disagree with it, no matter what authority that person has in the company and express ourselves directly, not through back channels. We challenge ideas, from policy to product decisions, and always seek to understand the reason behind what we do. Be a Championship Team: As a part of the championship team, you must improve your own performance constantly also know your teammates, their talents and skills and be focused on a common goal and how to achieve it together. We hold each other accountable for our contribution to the shared success or failure, and we constantly look for ways to help our colleagues to improve and for us to perform better as a team. We collaborate within the team in order to compete with challengers in the outside world. We build relationships of trust. We provide our teammates with the autonomy and support they need to deliver their part of the goal.

Задачи: — Разрабатывать и сопровождать потоковые приложения на Apache Flink: подключать новые домены и типы событий, реализовывать дедупликацию, идемпотентную обработку, обогащение через Redis и маршрутизацию невалидных событий в DLQ; — Обеспечивать полноту и качество потоков: контролировать lag, пропуски, дубли, объёмы, freshness, расхождения между источником и целевым хранилищем; участвовать в восстановлении и дозагрузке данных; — Развивать batch-пайплайны в Apache Airflow: регуляторные выгрузки день в день, bulk-загрузки в Cassandra, проверки полноты, свежести и результатов загрузки; — Подключать новые источники: разбираться в семантике событий, идентификаторах, ключах партиционирования, формате данных, ретенции, владельцах и ограничениях источника; — Cassandra, документация потоков, runbook и постмортемы; — Участвовать в on-call по понятному регламенту: локализовать инциденты, корректно эскалировать, объяснять простои и фиксировать пробелы в сборе данных. Требования: — 2–4 года опыта в Data Engineering либо backend-разработке с практическим переходом в data-направление; — Уверенный SQL и понимание работы с большими объёмами: партиционирование, шардирование, распределённые вычисления, оценка стоимости запросов и поиск узких мест; — Построение корпоративных DWH , понимание слоев данных; — Практический Kafka-опыт: producer/consumer, consumer groups, ключи и партиционирование, offsets, ретенция, replay, обработка ошибок, DLQ; — Python для data-задач и Airflow: умение разрабатывать и сопровождать DAG-и, писать идемпотентные задачи, организовывать retries и backfill; — Опыт работы с Java-кодом Flink (Python Flink может быть релевантным как опыт): читать, дорабатывать, отлаживать, разбираться в причинах рестартов, checkpointing и backpressure; — Опыт самостоятельной разработки stateful Flink-пайплайнов будет преимуществом; — Практический опыт хотя бы с одной технологией: Cassandra или ClickHouse; — Для Cassandra: понимание моделирования от паттернов доступа, partition key, TTL, консистентности и особенностей записи; — Для ClickHouse: оптимизация запросов, работа с кластером и шардами, моделирование таблиц, TTL и особенности upsert/merge-семантики; — Опыт сопровождения Airflow-пайплайнов в production; — Привычка к инженерному циклу: тесты, CI/CD, кволитигейт, мониторинг, алерты, анализ причин инцидента и профилактические действия; — Внимательность к SLA и регуляторным ограничениям: если данные нельзя терять, система должна уметь это обнаружить, объяснить и восстановить.

About Semaphore: Semaphore is a remote-first software company building continuous integration and delivery (CI/CD) products for engineering teams. Their customers rely on Semaphore Cloud and self-hosted enterprise products to build, test, and deliver software securely and reliably. The company has extensive experience building developer infrastructure at scale and is now creating new products and capabilities for a world increasingly built by people working with AI coding agents. About the role: The Senior Product Engineer will take important ideas from early, ambiguous problems to useful products running in production. The role involves working across product and engineering boundaries: understanding users, shaping solutions, making technical decisions, building systems, and improving them based on real use. Responsibilities include extending mature Semaphore products and starting small experiments or new products. The focus is on achieving strong outcomes rather than completing predefined tickets. AI coding agents are integrated into daily workflows and expected to be used fluently to explore, build, test, and ship faster. The role requires accountability for choosing the right problems, setting direction, making trade-offs, reviewing outputs, and ensuring coherence, reliability, and maintainability. Strong ownership, initiative, taste, and judgment are essential, with comfort moving between product questions, system design, code, infrastructure, and user experience. What you will own: — Take product ideas from problem definition through design, implementation, rollout, and iteration, including experiments that may grow into standalone products. — Work directly with users and internal stakeholders to identify real problems, decide what is worth building, and make pragmatic scope and architecture decisions. — Build across backend services, APIs, infrastructure-facing components, and focused frontend experiences, reusing proven Semaphore systems before introducing new infrastructure. — Use AI coding agents effectively while maintaining high standards for correctness, security, clarity, and product quality. — Own the production outcome, including reliability, observability, supportability, and compliance with Semaphore's security requirements. — Communicate decisions, progress, and risks clearly. What we are looking for: — Proven track record of independently shipping meaningful software products or major product capabilities. — Strong product judgment to identify essential user problems, reduce unnecessary scope, and recognize when an experience is ready to ship. — Strong engineering judgment in system design, implementation, reliability, and maintainability. — Strong backend and systems fundamentals including APIs, asynchronous processing, service boundaries, state and lifecycle management, retries, idempotency, and failure recovery. — Comfort with infrastructure concepts such as virtual machines, storage, networking, authentication, secrets, containers, and cloud platforms. — Ability to navigate a polyglot environment; Semaphore systems include Go, Elixir, Ruby, React, and related technologies, though expertise in every language is not required. — Enough frontend capability to build or extend focused product user experiences without relying on a separate team. — Fluency with modern AI-assisted development including decomposing work for agents, supplying useful context, reviewing generated changes, and building verification into workflows. — Initiative and persistence, ability to make progress with incomplete information, surface risks early, and involve others when needed. — Strong written and spoken English and experience working independently in a remote, asynchronous team. — Emphasis on quality and ownership over years of experience or exact stack match. Nice to have: — Experience building developer tools, CI/CD systems, cloud platforms, or infrastructure products. — Hands-on experience with distributed systems and event-driven architectures. — Experience evolving a mature codebase while introducing new products or architectures. — Experience in lean environments where senior engineers participate directly in product discovery and customer conversations. What success looks like within first three months: — Ownership of a meaningful product problem and shipping a useful capability to production. — Demonstrated good product taste, clear technical decisions, and disciplined scope. — Learning enough of Semaphore's platform to reuse strengths and avoid unnecessary reinvention. — Using AI coding agents to increase output while maintaining understandable, tested, and reliable systems. — Faster product and engineering decisions due to clear options, sound calls, and follow-through. — Gaining team trust to drive ambiguous new products or features to strong results. How you will work: — Senior individual contributor role with broad ownership. — Close collaboration with engineering, product, infrastructure, and company leadership. — Small teams with direct communication and expectation of exercising judgment. — Opportunity to shape both product and implementation. — Responsibility for the whole outcome: what gets built, why it matters, how well it works, and post-shipment results.

Location: Australia Workplace: Remote ABOUT THE TEAM The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them — together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists. WHAT YOU WILL DO - Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform. - API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services. - Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools. - Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation. - Oncall: Participate in the daytime oncall rotation along with the rest of the team. - UI/UX Implementation: Build responsive, intuitive user interfaces that make complex AI functionalities accessible and valuable to users of all technical backgrounds. WHAT YOU WILL BRING ALONG - 5+ years of software engineering experience in production environments - Exposure to working directly with AI/ML technologies - A high level of ownership and can drive features from concept to production with minimal supervision - Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders - Strong frontend skills with TypeScript/JavaScript and React Nice to have - Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases - Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment - Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus - Experience building data-oriented interfaces and visualizations PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Задачи: — Разработка и доработка SPA на Angular: компоненты, модули, сервисы, маршрутизация, state management — Разработка/доработка backend-модулей на C#/.NET в рамках трёхзвенной архитектуры — Участие в проектировании новых модулей ПО, API и frontend-архитектуры — Проектирование и развитие REST API между клиентом и сервером — Интеграция frontend с REST API, работа с OpenAPI/Swagger — Оптимизация производительности приложения, UI, API и СУБД — Работа с высоконагруженными сценариями: кэширование, асинхронность, очереди, профилирование узких мест — Доработка существующих интерфейсов и адаптивная вёрстка — Покрытие кода unit-, интеграционными и e2e-тестами — Участие в code review, оценке задач и технических обсуждениях Требования: — Опыт коммерческой разработки Fullstack от 3 лет, с уклоном во фронтенд — Уверенное владение Angular 12+, TypeScript — Опыт state management: NgRx/Signals — как плюс — HTML5, CSS3/SCSS, адаптивная и кроссбраузерная вёрстка, Angular Material — Понимание компонентной архитектуры, lazy loading, OnPush, оптимизации Change Detection — Опыт интеграции с REST API, OpenAPI/Swagger — C#/.NET: .NET 6+, ASP.NET Core, Web API — Понимание классической трёхзвенной архитектуры: клиент → сервер → БД — Опыт разделения логики на слои: контроллеры, сервисы, репозитории, DTO, валидация — EF/EF Core, ORM — SQL: MSSQL/PostgreSQL — ClickHouse — как плюс — Опыт работы с высоконагруженными или near-high-load системами — Асинхронная и многопоточная разработка: async/await, TPL, параллелизм — Практические навыки оптимизации запросов и производительности — Кэширование: MemoryCache, Redis — как плюс — Очереди: RabbitMQ / Kafka — как плюс — Git, GitLab CI/CD, Docker Условия: — Формат работы: удалённо — Оформление: ТК РФ — График: 5/2, гибкое начало дня Локация: Астана / Казахстан (удаленная работа)

Location: Moldova Company Background Our client is a third-party administrator for health benefits, providing self-funded medical, dental, FSA, and HRA plans for employers. The company offers a comprehensive online platform that enables employers, brokers, providers, and members to manage and pay healthcare claims efficiently. Project Description The project focuses on upgrading the Financial Management System (FMS) by adding new functionality and automating key financial processes. The current claims funding process involves multiple internal and external systems, including vendor integrations. The proprietary FMS platform is responsible for payment generation, and many of its subprocesses require automation and optimization. Technologies .NET Core, .NET Core Web API C#, Angular, TypeScript, HTML, CSS Entity Framework Core MS SQL Server Stored Procedures Git What You'll Do Develop and enhance features in the Financial Management System; Build and maintain backend services using .NET Core and Web API; Develop frontend components using Angular; Analyze and modify stored procedures and database logic; Work with MS SQL Server and data models; Participate in automation of financial workflows and subprocesses; Collaborate with cross-functional teams in Agile environment; Support integration with external systems and vendors; Job Requirements 1+ years of experience in .NET development; Strong experience with C#, .NET Core, and Web API; Solid understanding of MS SQL Server and stored procedures; Understanding of database modeling concepts; Ability to work across both backend and frontend; Experience working in Agile/Scrum environments; Strong analytical and problem-solving skills; English level: B2 level or higher; Experience with Angular and TypeScript is a plus; Experience with .NET WebForms and Visual Basic would be an advantage; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: Москва Команда занимается разработкой «AI-помощника» - это проект с использованием LLM, который призван радикально улучшить клиентский опыт при при оформлении основных продуктов банка (Автоиндустрия) и помочь клиенту разобраться в этих продуктах. Для решения новых задач по развитию «AI-помощника» в «Сбербанк Онлайн» и поверхностях экосистемы СБЕРа мы ищем к нам в команду инженера по тестированию. Обязанности ### Обязанности * проверка точности рекомендаций и подсказок помощника * оценка качества диалогового взаимодействия и реакции на нестандартные запросы * мониторинг производительности системы при обработке сложных сценариев общения * проведение функционального/регрессионного тестирования помощника * разработка тестовой модели (составление и актуализация тест-планов и тест-кейсов) * обнаружение, заведение и отслеживание дефектов в Jira * автоматизация функционального/регрессионного тестирования * взаимодействие с разработчиками, аналитиками, смежными командами, сопровождением * организация и проведение приемо-сдаточных испытаний разработанных решений * разработка/поддержание документации по разрабатываемым системам. * разбор обращений клиентов в рамках 3-линии поддержки * участие в запуске и разборе автотестов в перспективе Требования ### Требования * уверенное знание методологии тестирования ПО * опыт тестирования WEB-сервисов от 2 лет (frontend & backend) * опыт тестирования микросервисов и API от 2 лет * опыт использования и понимание основ тестирования AI-агентов * опыт написания автотестов на Python (pytest, requests, playwright) * понимание принципов REST-архитектуры * опыт работы и ведения тестовой модели (тест-кейсы, тест-планы, тест-раны, покрытие, etc.) * понимание основных принципов CI/CD и инструментов * навыки работы с SQL (Составление простых запросов) * опыт работы с системами учета дефектов (Jira или аналогами) ### Будет плюсом * опыт работы в банковском секторе * опыт тестирования AI, чатов или чат-ботов Условия ### Наши условия * гибридный формат в Москве (Кутузовский пр, 32) * ежегодный пересмотр зарплаты и годовая премия * расширенный ДМС и льготное страхование для семьи * уникальная система обучения Сбера для профессионального и карьерного развития * выгодная ипотека для сотрудников * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * корпоративная пенсионная программа.

Location: Singapore Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We're looking for a RevOps Systems Architect to help build a modern, AI-powered revenue operations stack. This isn't a traditional Salesforce admin role. We're building a GTM tech stack where AI is a first-class citizen, automations are genuinely intelligent, and our CRM is a living system that reflects how our business actually works. You'll function as a Salesforce admin and backend developer in one. You'll own platform administration, build complex automations via Flows and Apex, and develop and maintain custom services and integrations, including Salesforce MCP servers and AI tooling that connect our CRM to the broader systems our team runs on. For larger engineering efforts, you'll work shoulder-to-shoulder with our engineering team, scoping and shipping together. In this role, you will: - Administer our Salesforce org: object model, data architecture, user configuration, and platform health. - Build and maintain automations via Salesforce Flows, Apex, and custom services that power our GTM processes end to end. - Develop and maintain Salesforce MCP servers and AI tooling that extend CRM functionality into AI-powered workflows. - Design and maintain SQL-based data pipelines that feed dashboards and revenue reporting across the org. - Translate ambiguous business problems into clean technical scope, from stakeholder conversation to implemented solution. REQUIREMENTS - Salesforce administration experience with deep familiarity across the object model, Flows, data loading tools, and platform configuration. - Strong Apex development skills: you can build, debug, and maintain custom logic, triggers, and integrations without leaning on a separate engineering team. - SQL proficiency: you can decompose ambiguous questions into answerable queries and are comfortable with complex joins, aggregations, and pipeline logic. - Systems mindset: you can hold an end-to-end process in your head, trace a field from its origin through every downstream dependency, and anticipate what breaks when something changes. - Excited by modern tooling: you're drawn to building AI-native systems and are curious about where Salesforce, MCP, and AI agents intersect. Bonus: - Familiarity with dbt or modern data transformation tooling. - Experience with BI tools such as Sigma or Looker. LOCATION This role is based in Singapore We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Brazil Who We Are At YallaPlay, We are a rapidly growing startup mobile gaming studio on a mission to bring people together through play, we create exciting mobile games that bring joy to millions of players worldwide. Founded in Austin, Texas, we’ve since expanded to Brazil and the UAE, growing our diverse and talented team of creators. We pride ourselves on a fun and collaborative work environment, with a remote-friendly culture and a dedication to producing high-quality, engaging games. Our current titles, including “Spades Masters” (iOS/Android), have been enjoyed by millions of players globally. Our passion lies in reinventing card games infusing them with fresh mechanics, beautiful design, and social features that spark connection and excitement. As we continue to scale, we’re looking for creative, driven individuals who are excited to help shape the future of multiplayer mobile gaming in a fast-paced, collaborative environment. Join us and be part of building something big from the ground up. The Opportunity We're looking for a Unity Developer to help build high-quality mobile games faster and smarter. Reporting to the Lead Unity Developer, you'll use modern AI development tools alongside your technical expertise to implement game features, prototype ideas rapidly, solve complex engineering problems, and continuously improve development velocity. This role spans the entire game development lifecycle, from rapid prototyping to live operations. Success requires strong Unity fundamentals, excellent engineering judgment, and the ability to use AI as a force multiplier while maintaining high standards for code quality, performance, and player experience. This position is remote and from Brazil. What You’ll Be Doing Develop and implement mobile games in Unity for iOS and Android. Use AI-powered development tools to accelerate coding, debugging, refactoring, documentation, testing, and prototyping while maintaining production-quality standards. Collaborate with designers, producers, artists, backend engineers, and QA to deliver polished player experiences. Write clean, scalable, maintainable C# code and validate AI-generated code before production use. Rapidly prototype gameplay mechanics and iterate based on team feedback. Optimize performance across a wide range of mobile devices using Unity profiling tools. Debug complex gameplay, networking, memory, and platform-specific issues. Implement gameplay systems, UI, animations, VFX, audio, and live operations features. Contribute to CI/CD, build automation, and deployment pipelines. Review code, improve engineering standards, and contribute to reusable systems and internal tools. Continuously evaluate new AI tools and workflows that improve team productivity. Participate in Agile development processes, including sprint planning and daily standups. What We’re Looking For What you need to have: Bachelor's degree in Computer Science, Software Engineering, Interactive Media, or equivalent experience. 5+ years developing mobile games with Unity. At least 2 shipped mobile game titles. Excellent C# programming skills. Strong understanding of Unity architecture, UI Toolkit/uGUI, prefabs, asset management, animation, audio, and scene management. Experience building both 2D and 3D mobile games. Experience optimizing CPU, GPU, memory, and battery performance. Experience with REST APIs, WebSockets, or multiplayer networking. Strong debugging and problem-solving skills. Experience working in Agile teams. Excellent communication and collaboration skills. AI-First Development We expect our engineers to use AI as part of their daily workflow. You should: Be comfortable using AI coding assistants (such as Unity AI, GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar). Know how to write effective prompts for technical tasks. Critically review, validate, test, and improve AI-generated code rather than accepting it blindly. Use AI to accelerate debugging, documentation, testing, refactoring, and code generation. Continuously experiment with new AI workflows that improve development speed without compromising quality. Understand the limitations, risks, and security considerations of AI-assisted software development. Why YallaPlay What You Get Real Impact – You’ll work on meaningful projects that reach a global audience. Collaborative Culture – Small team, big ambition. We keep things fun, respectful, and feedback-driven. Benefits & Perks Competitive salary Remote-first and flexible schedule- Digital nomad friendly Generous paid time off Paid birthdays off Growth opportunities and access to learning resources A team that actually loves games—and each other Next Steps Ready to join the team? We’d love to hear from you! Apply Share sample code and projects (GitHub) We review every application carefully and will be in touch if there’s a fit. Good luck!

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE We're looking for distributed systems engineers and product-minded generalists to build the distributed runtime that powers large-scale LLM inference on Baseten. Our inference platform empowers customers to deploy and operate cutting-edge models with industry-leading performance, scalability, and reliability. It also powers Model APIs, our hosted endpoints for the latest open-source models. You'll work across the stack, from the developer experience customers use to deploy models, through the libraries behind features like tool calling and reasoning, down to the systems that orchestrate deployments on Kubernetes and route traffic efficiently. Your job is to make sure every model on our platform is fast, reliable, and cost-efficient. You'll join a small, high-impact team at the intersection of distributed systems, model performance, infrastructure, and product, helping define how developers use AI models at scale. This role is ideal for engineers who enjoy owning systems in production, solving hard integration problems, and making complex infrastructure simple and reliable for users.   EXAMPLE INITIATIVES You'll get to work on these types of projects on our Inference Platform: - The Baseten Inference Stack at NVIDIA Dynamo Day https://www.baseten.co/blog/nvidia-dynamo-day-baseten-inference-stack/ - 2x faster inference with KV cache-aware routing https://www.baseten.co/blog/how-baseten-achieved-2x-faster-inference-with-nvidia-dynamo/ - How Baseten multi-cloud capacity management (MCM) unifies deployments https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/#comparing-deployment-options-cloud-vs-self-hosted-vs-hybrid RESPONSIBILITIES - Build the infrastructure and orchestration systems that deploy and run large-scale distributed LLM inference, including routing, autoscaling, scheduling, and runtime management. - Design, build, and operate Model APIs, with a focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling, and multimodal serving. - Implement platform fundamentals such as API versioning, validation, usage metering, quotas, and authentication. - Instrument deep observability (metrics, traces, logs) and build repeatable benchmarks for speed, reliability, and quality. Help set best practices for testing, release automation, and operational excellence. - Debug and harden complex production systems spanning Kubernetes, distributed runtimes, networking, and GPU workloads to improve reliability and scalability. - Partner with Inference Performance engineers and other teams to make new optimizations broadly available to customers and easy to configure. - Own projects end to end, from architecture through deployment, monitoring, and iteration on customer feedback. Along the way, make thoughtful tradeoffs between performance, reliability, operational simplicity, and developer experience.   REQUIREMENTS - Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field, or equivalent practical experience. - 3+ years building and operating distributed systems, backend infrastructure, or large-scale APIs where reliability, latency, and scale are first-class concerns. - A proven track record of owning low-latency, reliable backend services, including rate limiting, auth, quotas, metering, and migrations. - Infrastructure instincts with a feel for performance: profiling, tracing, capacity planning, and SLO management. - Comfort debugging performance and reliability issues across multiple layers of the stack, from application behavior down to runtime and infrastructure internals. - A strong sense of developer experience. You think about how systems are used, not just how they work. - Eagerness to learn new languages, frameworks, and systems, and a real interest in inference engineering. Prior ML or LLM experience isn't required, though experience with model serving or inference systems is a plus. - Excellent written communication and collaboration skills, including writing clear design docs and working across functions.   NICE TO HAVE - Experience with or contributions to LLM inference engines and frameworks such as vLLM, SGLang, TensorRT-LLM, TGI, or Dynamo. - Deep Kubernetes experience, including operators and custom resources, plus familiarity with service meshes or API gateways. - Experience with distributed scheduling, autoscaling, or service orchestration. - Experience operating GPU workloads in production. - A background in developer-facing infrastructure or APIs, or contributions to open-source infrastructure or ML systems. - Familiarity with observability tooling, CI/CD systems, or release automation. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Argentina; Colombia; Peru; Brazil; Chile; Mexico Workplace: Remote Please note: French proficiency is required for this role. If you do not speak French, please refrain from applying. Lieu : Amérique latine (télétravail) Date de début : Dès que possible Langues : Anglais (obligatoire), français (obligatoire) À PROPOS DU POSTE Pragmatike recrute pour le compte d’une entreprise technologique en forte croissance, orientée produit, qui développe des plateformes traitant d’importants volumes de données et utilisées à grande échelle sur plusieurs marchés. Son produit repose sur l’automatisation, l’extraction de données et des workflows intelligents, avec un fort accent mis sur la fiabilité du backend et la rapidité d’exécution. Nous recherchons un(e) Full-Stack Engineer à dominante backend, capable de prendre en charge des fonctionnalités de bout en bout. Le poste est réparti à environ 70 % sur le backend et 30 % sur le frontend. Il convient particulièrement aux ingénieurs qui aiment travailler en profondeur sur le backend tout en restant proches du produit et de sa mise en production. VOS MISSIONS - Concevoir, développer et maintenir des services backend en Python et Node.js - Prendre en charge les API, la logique métier et les flux de données s’appuyant sur PostgreSQL et MongoDB - Contribuer aux fonctionnalités frontend (environ 30 %) afin de proposer des expériences produit complètes - Développer et maintenir des pipelines de web scraping et d’ingestion de données, dans le respect des cadres légaux et éthiques applicables - Travailler efficacement avec des outils de développement assistés par l’IA (Cursor, Copilot, etc.) - Collaborer étroitement avec les équipes produit et engineering pour transformer les besoins en solutions évolutives - Améliorer les performances, la fiabilité et la maintenabilité des systèmes existants - Participer aux décisions techniques et aux discussions liées à l’architecture PROFIL RECHERCHÉ - 4 ans d’expérience ou plus en Full-Stack Engineering ou Backend Engineering - Solide expérience backend avec Python et/ou Node.js - Bonne maîtrise de PostgreSQL et MongoDB - À l’aise pour intervenir ponctuellement sur des bases de code frontend - Expérience ou intérêt pour le scraping et les systèmes traitant d’importants volumes de données - Bonne connaissance des méthodes modernes de développement assisté par l’IA - Forte capacité à prendre des responsabilités et à travailler de manière autonome - Être basé(e) en Amérique latine LES PETITS PLUS - Expérience en OCR, computer vision ou traitement de documents - Expérience sur des produits fortement orientés automatisation ou data - Expérience en startup ou scale-up POURQUOI CE POSTE PEUT FAIRE ÉVOLUER VOTRE CARRIÈRE - Une forte autonomie sur des fonctionnalités directement mises en production - Un impact concret sur les systèmes backend au cœur du produit - Une exposition à l’automatisation, au scraping et aux workflows intelligents - Une utilisation quotidienne d’outils modernes de développement assisté par l’IA - De réelles possibilités d’évolution au sein d’une équipe engineering orientée produit STACK TECHNIQUE - Backend : Python, Node.js - Bases de données : PostgreSQL, MongoDB - Frontend : Frameworks JavaScript modernes - Data : Scraping, pipelines d’ingestion - Atouts : OCR, computer vision AVANTAGES - 100 % télétravail - Horaires de travail flexibles - Poste d’ingénieur avec un haut niveau d’autonomie Pragmatike s’engage à garantir un processus de recrutement équitable, transparent et inclusif. Aucun candidat ne fait l’objet de discrimination fondée sur l’âge, le handicap, le genre, l’identité ou l’expression de genre, la situation matrimoniale ou le statut de partenaire civil, la grossesse ou la maternité, la race, la religion ou les convictions, le sexe ou l’orientation sexuelle. Conformément au Règlement général sur la protection des données (RGPD), vos données personnelles sont traitées de manière légale, équitable et sécurisée. Nous collectons et utilisons vos données personnelles uniquement dans le cadre du processus de recrutement, notamment afin de les partager avec notre ou nos client(s) dans le cadre de l’étude de votre candidature. Vous disposez à tout moment d’un droit d’accès, de rectification ou de suppression de vos données. Nous nous engageons à assurer la confidentialité et la sécurité de vos informations tout au long du processus de recrutement.

Location: Argentina; Colombia; Peru; Brazil; Chile; Mexico Workplace: Remote Please note: French proficiency is required for this role. If you do not speak French, please refrain from applying. Lieu : Amérique latine (télétravail) Date de début : Dès que possible Langues : Anglais (obligatoire), français (obligatoire) À PROPOS DU POSTE Pragmatike recrute pour le compte d’une entreprise technologique en forte croissance, orientée produit, qui développe des plateformes traitant d’importants volumes de données et utilisées à grande échelle sur plusieurs marchés. Son produit repose sur l’automatisation, l’extraction de données et des workflows intelligents, avec un fort accent mis sur la fiabilité du backend et la rapidité d’exécution. Nous recherchons un(e) Full-Stack Engineer à dominante backend, capable de prendre en charge des fonctionnalités de bout en bout. Le poste est réparti à environ 70 % sur le backend et 30 % sur le frontend. Il convient particulièrement aux ingénieurs qui aiment travailler en profondeur sur le backend tout en restant proches du produit et de sa mise en production. VOS MISSIONS - Concevoir, développer et maintenir des services backend en Python et Node.js - Prendre en charge les API, la logique métier et les flux de données s’appuyant sur PostgreSQL et MongoDB - Contribuer aux fonctionnalités frontend (environ 30 %) afin de proposer des expériences produit complètes - Développer et maintenir des pipelines de web scraping et d’ingestion de données, dans le respect des cadres légaux et éthiques applicables - Travailler efficacement avec des outils de développement assistés par l’IA (Cursor, Copilot, etc.) - Collaborer étroitement avec les équipes produit et engineering pour transformer les besoins en solutions évolutives - Améliorer les performances, la fiabilité et la maintenabilité des systèmes existants - Participer aux décisions techniques et aux discussions liées à l’architecture PROFIL RECHERCHÉ - 4 ans d’expérience ou plus en Full-Stack Engineering ou Backend Engineering - Solide expérience backend avec Python et/ou Node.js - Bonne maîtrise de PostgreSQL et MongoDB - À l’aise pour intervenir ponctuellement sur des bases de code frontend - Expérience ou intérêt pour le scraping et les systèmes traitant d’importants volumes de données - Bonne connaissance des méthodes modernes de développement assisté par l’IA - Forte capacité à prendre des responsabilités et à travailler de manière autonome - Être basé(e) en Amérique latine LES PETITS PLUS - Expérience en OCR, computer vision ou traitement de documents - Expérience sur des produits fortement orientés automatisation ou data - Expérience en startup ou scale-up POURQUOI CE POSTE PEUT FAIRE ÉVOLUER VOTRE CARRIÈRE - Une forte autonomie sur des fonctionnalités directement mises en production - Un impact concret sur les systèmes backend au cœur du produit - Une exposition à l’automatisation, au scraping et aux workflows intelligents - Une utilisation quotidienne d’outils modernes de développement assisté par l’IA - De réelles possibilités d’évolution au sein d’une équipe engineering orientée produit STACK TECHNIQUE - Backend : Python, Node.js - Bases de données : PostgreSQL, MongoDB - Frontend : Frameworks JavaScript modernes - Data : Scraping, pipelines d’ingestion - Atouts : OCR, computer vision AVANTAGES - 100 % télétravail - Horaires de travail flexibles - Poste d’ingénieur avec un haut niveau d’autonomie Pragmatike s’engage à garantir un processus de recrutement équitable, transparent et inclusif. Aucun candidat ne fait l’objet de discrimination fondée sur l’âge, le handicap, le genre, l’identité ou l’expression de genre, la situation matrimoniale ou le statut de partenaire civil, la grossesse ou la maternité, la race, la religion ou les convictions, le sexe ou l’orientation sexuelle. Conformément au Règlement général sur la protection des données (RGPD), vos données personnelles sont traitées de manière légale, équitable et sécurisée. Nous collectons et utilisons vos données personnelles uniquement dans le cadre du processus de recrutement, notamment afin de les partager avec notre ou nos client(s) dans le cadre de l’étude de votre candidature. Vous disposez à tout moment d’un droit d’accès, de rectification ou de suppression de vos données. Nous nous engageons à assurer la confidentialité et la sécurité de vos informations tout au long du processus de recrutement.