Вакансии

Location: Boston, MA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE This role is onsite 5 days/week in Boston, MA We're looking for a Senior Fullstack Engineer to work on LangSmith. In this role, you'll have the opportunity to shape the technical direction of our platform while working closely with our enterprise customers, developer end-users, and cross functional internal stakeholders. WHAT YOU WILL DO - Lead the technical architecture and implementation of key product features for LangSmith, working across our entire Go, Python, and Typescript stack. - Collaborate closely with product and design teams to iterate on new features. - Help drive aggressive project timelines while ensuring high engineering standards are being met. - Lead by example in writing clean, maintainable, and well-tested code. WHAT YOU BRING - 5+ years of experience in software engineering working on complex platform products - Fullstack engineering experience with Go or Python on the backend and React + Typescript on the frontend. - Strong understanding of database systems, particularly Postgres and Redis - Experience designing and scaling APIs, preferably in a high-performance, data-intensive application - A “get stuff done” attitude - comfortable shipping fast and iterating based on user feedback - Strong communicator with the ability to collaborate closely with various internal stakeholders and engage directly with our top-tier customers - Strong ownership mindset - Bonus: Experience with AI/LLM-powered applications, developer tools, or observability platforms Compensation - Annual salary range: $175,000-$240,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Boston, MA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE This role is based onsite in Boston, MA. We are looking for a Senior Backend Engineer to join our growing engineering team in Boston. In this role you will be building the backend systems that power LangSmith, LangChain’s observability and evals platform. You will work on the core services that allow our customer's developer teams to monitor and evaluate their AI applications at scale. While the focus is on backend feature development, familiarity with fullstack or frontend engineering, performance tuning, and debugging production issues would be valuable. WHAT YOU'LL DO: - Design, develop, and maintain backend services and APIs to support LangSmith’s tracing, monitoring, and evaluation workflows. - Collaborate on architectural decisions to ensure systems are performant and maintainable. - Optimize storage and query performance for high-volume observability and evaluation data. - Ensure system reliability through strong testing, monitoring, and alerting practices. - Troubleshoot and resolve production issues, performing root-cause analysis and implementing long-term fixes. - Create and maintain technical documentation, including system design and API references. - Work closely with full-stack engineers, product managers, and product designers on rolling out new features. WHAT YOU'LL BRING: - 4+ years of professional experience in backend engineering working on highly complex products - Proficiency in one or more backend languages/frameworks, ideally Python and/or Go - Strong understanding of API design and building reliable data services. - Experience with high-throughput, mission-critical systems. - Demonstrated ability to optimize backend services for performance and reliability. - Experience with database systems (Postgres, Redis, Clickhouse), and cloud platforms (AWS, GCP, Azure) would be a bonus. - Strong communication skills, with the ability to collaborate cross-functionally. - Customer centricity and ownership mentality Annual salary range: $170,000- $235,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

О компании: МЕДСИ – лидер в сфере частного здравоохранения, объединяющий более 150 клиник, диагностических центров и санаториев по всей России. Компания развивает цифровые сервисы и автоматизацию ключевых процессов для повышения качества медицинских услуг и эффективности бизнеса. Задачи: — Разработка новых и поддержка существующих backend-сервисов на .NET Core в микро-сервисной архитектуре. — Проектирование и реализация внутренних и внешних API. — Интеграция с внешними и внутренними системами. — Работа с реляционными базами данных (PostgreSQL), написание и оптимизация SQL-запросов. — Реализация бизнес-логики с учетом устойчивости, безопасности и масштабируемости. — Взаимодействие с командой архитекторов, frontend-разработчиков, аналитиков, тестировщиков и devops. — Участие в code review и обсуждении архитектурных решений. Требования: — Опыт коммерческой разработки на C# от 2 лет. — Уверенное знание .NET Core и принципов ООП. — Опыт работы с EF Core и PostgreSQL. — Понимание архитектуры микросервисов, CQRS и event-driven подхода. — Знание принципов REST и разработки API. — Знание принципов разработки gRPC API. — Опыт работы с брокерами сообщений. — Умение писать читаемый, сопровождаемый и покрытый тестами код. Условия: — Формат работы: гибридный. — Работа в крупнейшем медицинском холдинге. — Заработная плата по итогам собеседования. — Оформление по ТК РФ. — Индивидуальные условия по страховке (ДМС) в клиниках Медси. — Компенсация профессиональной литературы, курсов, обучения и участия в конференциях. — Пятидневный график работы, гибкое начало рабочего дня.

Задачи: — full-stack разработка с использованием Node.js и React Требования: — уверенное владение backend: Node.js, Express, Sequelize — уверенное владение frontend: React, Vite, Tailwind CSS, Zustand, Axios — опыт работы с базами данных MySQL и PostgreSQL, включая транзакции, блокировки, конкурентный доступ, оптимизацию сложных SQL-запросов — понимание race conditions и проблем конкурентности — опыт работы с real-time технологиями: WebSocket, Socket.IO, Centrifugo — навыки работы с инфраструктурой и DevOps: Docker, настройка Nginx, Redis, RabbitMQ, очереди задач, Elasticsearch, Kibana, Prometheus, Grafana — понимание CDN, принципов защиты от DDoS на уровнях L3/L7, работы proxy и reverse proxy — умение работать с API и интеграциями, включая недокументированные API, OAuth, Telegram Bot API, TDLib — опыт использования AI-инструментов Claude и ChatGPT для анализа, написания кода, рефакторинга, отладки и поиска решений — понимание вопросов безопасности: SQL Injection, проверка типов и входных данных, race conditions, базовое понимание криптографии (RSA, SHA, хеширование), обфускация, browser/device fingerprinting — умение проектировать архитектуру высоконагруженных систем с учетом масштабирования, отказоустойчивости, конкурентной обработки данных, взаимодействия сервисов, очередей, БД, кеша и real-time компонентов Будет плюсом: — базовое понимание теории вероятностей — понимание принципов работы blockchain и основных сетей: Bitcoin, TON, Ethereum/ERC, TRON — опыт работы с нестандартными API и интеграциями

Location: Vienna, Austria Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry's SDKs instrument dozens of platforms and our ingest pipeline takes in billions of events every day. The Telemetry Experience team owns what happens next: the product surfaces and APIs where that telemetry turns into something a developer can actually debug with. As a Senior Software Engineer on Telemetry Experience, you'll own that experience across the sentry.io http://sentry.io product - Python/Django and Postgres on the backend, React and TypeScript on the frontend. You'll work upstream with our SDK teams on what gets sent and with our ingest teams on how it arrives, then own the part customers actually touch: the APIs, the workflows, and the interfaces where it all lands. Your job is to make that feel native to every developer who uses it, whether they ship a backend service, a mobile app, or a game. IN THIS ROLE YOU WILL - Own projects end to end. Take a problem from a rough customer complaint through scoping, design, implementation across the stack, rollout, and measurement. You'll write the design doc, cut the work into shippable pieces, and stay with it until the numbers move - Work across the full stack of the Sentry monolith. React and TypeScript in the browser, Django and Postgres behind the API. Most projects here touch both, and the interesting decisions live at the seam - Partner closely with SDK and ingest teams. Telemetry arrives exactly as the SDKs send it and as the pipeline shapes it. You'll shape those contracts together with the engineers who own them, rather than working around what shows up - Collaborate daily with product managers, designers, and other product engineers. You'll bring the technical perspective that makes a design better, explain constraints in terms of what they cost the user, and sweat the details other people skip: empty states, error messages, loading behavior, the edge case that only bites 2% of accounts YOU’LL LOVE THIS JOB IF YOU - You'd rather own an outcome than a ticket. You take ambiguous problems, decide what to build, drive it across team boundaries, and follow through after launch. Nobody has to hand you a spec - You're obsessed with making an experience smooth. Friction offends you. You notice the extra click, the confusing label, the query that takes 400ms too long - and you fix them instead of filing them - You solve problems for customers, not for the codebase. Sentry's users are developers, so you can read their bug reports, sit in their tooling, and tell the difference between what they asked for and what they need - You communicate well in writing. Working across SDK teams, ingest teams, product, and design in a distributed company means your docs, PR descriptions, and updates do a lot of the work - You like being full-stack. You don't need a handoff to change an API and the component that calls it, and you enjoy holding the whole path from event payload to rendered pixel in your head QUALIFICATIONS - 5+ years of professional experience building and shipping full-stack web applications - Strong experience with React and TypeScript, and with Python (Django or similar) backed by a relational database such as PostgreSQL - depth in one side and real competence in the other is fine - A track record of driving non-trivial projects end to end, including the parts that require getting other teams to agree with you - Excellent written and spoken English communication skills - Experience leveraging AI-powered development tools to enhance productivity and code quality BONUS POINTS - Familiarity with the application monitoring and observability space - Experience building developer-facing products, SDKs, or public APIs - Experience with high-volume data stores or streaming systems (ClickHouse, Kafka) - A track record of contributing to open-source projects We are obliged by law to quote the minimum wage of EUR 60,844,-- gross per year for this position, in accordance with the respective collective agreement (IT-KV). The salary that Sentry offers you is adjusted to the current market situation and will be above the IT-KV. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

The Client Solutions & Analytics engineering team builds and maintains a suite of proprietary quantitative platforms spanning portfolio construction and optimization, retirement and defined contribution solutions, Capital Market Assumptions, multi-asset risk analytics, and institutional client intelligence tooling. Responsibilities: — Design and implement RESTful APIs using Python frameworks (FastAPI, Django, Tornado) — Build and maintain data pipelines and backend services for analytics workloads — Design and optimize database schemas across relational, NoSQL, and cloud data stores — Work with structured and unstructured data across Snowflake, Postgres, S3, and MongoDB — Collaborate closely with quantitative researchers, frontend engineers, and business stakeholders — Contribute to system design and architecture decisions — scalability, reliability, security — Monitor and troubleshoot production systems using observability tooling Requirements: — 9+ years of backend development experience — Strong Python proficiency — the team's primary language — Solid hands-on experience with Postgres, Snowflake, MongoDB, and S3 — Strong grasp of data modeling (ER design) and system design principles — Interest in AI-assisted development and modern developer tooling — Experience building and shipping production-grade REST APIs We offer: — Flexible work setup: remote model (Poland, Serbia, Georgia, Spain, Portugal, Armenia) or hybrid if desired (Poland) — Health insurance coverage for those based in Poland — 50% coverage of health insurance for spouses and children in Poland — 24 days of paid vacation — 10 days of paid sick leave — 50% reimbursement for professional training, education, conferences — Work alongside a highly professional team — Engaging teambuilding events and activities

Негізгі міндеттері: • Модульдер мен компоненттердің архитектурасын жобалау; • Жоғары өнімді және масштабталатын пайдаланушы интерфейстерін әзірлеу; • Code review жүргізу және Junior/Middle деңгейіндегі әзірлеушілерге тәлімгерлік ету; • Frontend-ті жинақтау және деплой жасау процестерін оңтайландыру; • Ретроспективаларға қатысу және процестерді жетілдіру бойынша ұсыныстар енгізу. Негізгі талаптар: • Жоғары білім (IT немесе сабақтас бағыттар бойынша); • Angular-пен жұмыс тәжірибесі 3 жылдан жоғары; • Angular бойынша сараптамалық білім (custom directives, advanced RxJS); • CI/CD (GitLab CI, Jenkins) және e2e-тестілеумен жұмыс тәжірибесі; • Frontend архитектурасын түсіну; • Agile-командаларда жұмыс тәжірибесі және әзірлеу процестерін жетілдіруге ықпал ету; • Жеке қасиеттері: аналитикалық ойлау, тәлімгерлік қабілет, икемділік.

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About the Team The Infrastructure team builds and maintains the systems that power LangChain’s developer platform, including LangGraph Cloud and LangSmith. The team focuses on reliability, scalability, and developer productivity across the stack, working closely with backend, frontend, and platform engineers to ensure services are deployed, tested, and operated with confidence. About the Role We’re hiring a Software Engineer to join the Infrastructure team and own developer productivity across our LangGraph Cloud/Platform and LangSmith products. You’ll work closely with Infrastructure, Backend, and Frontend teams to ship with confidence across Kubernetes-based services, APIs, and UI flows. You’ll also help pioneer quality practices specific to LLM applications, such as prompt regression testing and evaluation suites. Location: In person 5 days/week in San Francisco, CA or New York, NY What You'll Do - Own test strategy end-to-end across APIs, services, UI, data, and infrastructure (Kubernetes, Terraform, Helm) - Stand up ephemeral test environments in Kubernetes for pull requests and release candidates; seed test data and run hermetic test suites - Shift quality earlier in CI/CD pipelines (GitHub Actions) through parallelization, caching, deterministic seeds, flake tracking, and quality gates - Build observability into testing workflows with rich failure artifacts such as logs, traces, and dashboards - Establish performance and reliability baselines for critical paths, including SLIs, SLOs, and regression detection - Partner on incident workflows by reproducing issues, adding targeted regression tests, and improving runbooks and postmortems - Write documentation including test plans, playbooks, and contributor guidelines for writing high-quality tests Example projects you might own - A pull-request ephemeral end-to-end testing harness that deploys a minimal LangSmith stack in CI and runs Playwright and API suites against seeded tenants - A k6 performance scenario that simulates multi-tenant traffic and surfaces p95/p99 latency regressions per release - A flake-budget system that automatically quarantines flaky tests, opens issues with artifacts, and tracks time-to-deflake What You'll Bring - 3+ years of experience as a software engineer or infrastructure engineer - Strong hands-on experience with Python and testing frameworks such as pytest - Experience working with CI/CD systems (GitHub Actions preferred) and improving pipeline performance and reliability - Solid understanding of API testing, mocking/stubbing, and data setup/teardown - Comfort defining quality standards, writing test plans, and driving cross-team execution Nice to Have - Experience with load and performance testing tools such as k6 - Familiarity with observability tooling such as Datadog or OpenTelemetry - Experience testing services running on Kubernetes and containerized environments - Basic infrastructure experience with Helm, Terraform, Kubernetes networking, or secrets management - SQL fluency for validating data (Postgres, ClickHouse, BigQuery) - Familiarity with Go, Node, or React for targeted white-box tests and improving system testability Compensation - Annual salary range: $165,000- $250,000 USD Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Remote Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase. With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos rely on Sourcegraph to ship faster and with higher quality. We're backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and customer love. If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Hours & location 🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week. Preferred locations: USA Why this job is exciting Sourcegraph is at the forefront of building AI tools to solve the biggest problems in the software industry, problems that only get bigger as codebases grow and as more of the work is done by agents. The Code Understanding team owns the surfaces where that intelligence meets the developer: Deep Search , our agentic, multi-step answer engine across an enterprise's entire lineup of codebases, Query Assist , turning natural language queries into Sourcegraph query syntax, Smart Hovers , concisely summarizing symbols right where devs need it, guided diff review, and the APIs that both humans and AI agents rely on every day. Most of what makes those surfaces tick is agent engineering : a blend of software engineering, machine learning, and statistics. Agent engineering tells us which model to use and when, how to retrieve and pack context, how to measure answer quality, where to fine-tune or distill a smaller model to cut costs and latency, and how to expand a single LLM call into a reliable multi-step agent. As the staff ML and agent engineer on Code Understanding , you'll be the technical owner of it: setting the tam’s direction for models, evaluations, and agentic systems, making our products measurably better, faster, and cheaper, and raising the team's fluency in building with models. This is a staff-level role : we're hiring a technical leader, not just a strong individual contributor. The primary need is a production ML and evaluation authority who also builds production agent systems. You'll own the hardest, most ambiguous problems in this space, set standards others follow, and influence direction beyond your immediate team. You'll get the exhilarating chance to drive the vision on how we can provide the best code understanding experience on the market by combining our deterministic, large-scale systems and AI into experiences never seen before. Concretely, you'll own work like: Agentic systems. You'll design and harden the multi-step, tool-using agent loops behind current and new agentic experiences, turning research and experiments into reliable, observable, and affordable products at enterprise scale. Pragmatic use of evaluations. Crafting agentic products means needing to tell when a change actually helped, which is hard when agents keep changing and the product keeps shifting. You'll bring judgment about where evaluations earn their keep, when to use targeted smoke tests and metrics, and how to avoid noise dressed up as rigor, so we can move fast with confidence. Models: selection, upgrading, and training. You'll decide which models we run where, drive upgrades, and fine-tune our own when that's the right call. Retrieval and context engineering. You'll push on how we ground models in a customer's code - retrieval, ranking, context windows, citations - to make answers more accurate and verifiable. Cost and latency. Every surface has a per-user economic budget. You'll treat cost and latency as product features, and profile, distill, cache, and right-size models so we can ship ambitious features sustainably. You'll do this on a small, senior-leaning team that ships quickly, owns a lot of product surface, and has streamlined product management: engineers here talk to customers, frame the problem, and own it end-to-end. You'll have real agency over technical direction and a direct line to the impact of your work. 📅 Within one month, you will… Get the Code Understanding products and their model/agent pipelines running end-to-end locally, and land your first improvements to a model, prompt, retrieval path, or eval. Build a clear picture of where the AI engineering pain is, and the product surfaces most constrained by them. Get to know the team and our customers, and start forming your own opinions about where our agentic products should go next. Join the team's on-call support rotation. 📅 Within three months, you will… Own a meaningful agentic slice of the product end-to-end, driving it from problem-framing through rollout and measurement. Establish how the team ships model and prompt changes responsibly: the evals, dashboards, and guardrails that make quality and cost regressions visible before customers feel them. Begin up-leveling teammates in building with models by pairing with them, reviewing their code, and modeling good agent engineering instincts. 📅 Within six months, you will… Be the recognized technical authority for agent engineering and agentic systems on Code Understanding. You will be the person teammates, and increasingly the wider department, defer to on model, eval, and agent-design decisions. Have measurably moved the products: better answer quality, lower cost/latency, or new agentic capabilities that weren't feasible before. Be setting the direction of the team's roadmap where it intersects agents, bringing conviction, backed by evidence, about which bets are worth making, and pulling other engineers up to execute on them. About you You are a staff engineer and technical leader with hard-won skills across production machine learning, evaluation, and agent systems . This high-leverage role relies on your ability to make sound model and evaluation decisions for a fast-moving product, build the production systems around them, steer technical direction, and be a force multiplier for a talented, product-minded team. You're equally comfortable reasoning about an eval harness, a fine-tuning run, a retrieval pipeline, and the multi-step agent loop that ties them together, and you make everyone around you better at all of it. You operate at staff scope: you own the most ambiguous, highest-risk problems in your domain, go into whatever codebase a problem requires, set standards and patterns others adopt, and translate fluidly between engineering goals and business objectives. You influence direction beyond your immediate team. You lead through technical excellence and mentorship. You have personally owned a production model lifecycle. You have trained or fine-tuned at least one model and taken it from dataset construction through evaluation, production rollout, and monitoring. You can explain how you chose between training or fine-tuning and prompting or retrieval, how you chose baselines and metrics, what error analysis revealed, and how production evidence affected the next version. You build agents, fluently and opinionatedly. You've designed multi-step agentic systems and made them reliable, observable, and cost-bounded. You have a point of view on where agents shine and where deterministic code or human judgment is required. You have strong evaluation judgment. You build representative datasets, meaningful baselines, useful error taxonomies, and release criteria that connect offline measurements to production behavior. You know where rigorous evaluations earn their keep, where lightweight smoke tests or qualitative review are enough, and where a precise-looking metric is misleading. You treat cost and latency as product constraints. You make measured quality, latency, and cost tradeoffs and use the appropriate combination of model selection, prompting, retrieval, caching, distillation, and fine-tuning rather than reaching reflexively for a more complex model. You operate autonomously on ambiguous problems. Given a rough product idea, a few customer quotes, and a Slack thread, you come back with a plan, a prototype, milestones, and a point of view on tradeoffs, without it being pre-scoped. You own high-technical-risk projects end-to-end. You contribute beyond your domain. As a senior IC, you go into whatever part of the codebase a problem requires, recognize issues beyond your immediate area, and translate between engineering goals and business objectives. You up-level the people around you. You mentor by pairing on hard problems, providing substantive design and code reviews, and spreading agent engineering literacy across the team. You see investing in your teammates' growth as part of the job. You're customer and product-driven. You're comfortable on customer calls and in feedback threads, you turn raw signals into requirements, scopes, and milestones, and you push back when feedback would lead the product astray. You're pragmatic, not a perfectionist. You ship the smallest correct thing, prefer robust solutions over complicated ones, and keep a high-quality bar with simplicity. On the engineering fundamentals: You're a strong software engineer who can ship production services. You're comfortable across our stack - Go on the backend, TypeScript on the frontend, GraphQL, Postgres, Docker - or you're clearly able and eager to get there. You're fluent with agentic coding tools, and you understand and own every line it submits. You're comfortable in an async-first, multi-service, fast-paced remote environment. Nice-to-haves: You've shipped an LLM-powered or agentic developer-facing product you can speak about opinionatedly: what worked, what didn't, what you'd do differently. You've fine-tuned, distilled, or trained models to meet cost, latency, or quality targets in production. Experience with retrieval, ranking, embeddings, or search relevance. Experience working directly with enterprise customers and translating their needs into a product. Experience mentoring or up-leveling engineers, especially raising a team's agent engineering fluency. Level 📊 This job is an IC4. You can read more about our job leveling philosophy in our Handbook. Compensation 💸 We pay above-market salaries because we want to hire exceptional people who can focus on building great products, not worrying about paying bills. As an open and transparent company, our compensation philosophy and pay bands are visible to every Sourcegraph teammate, and we strive to make our approach equitable, explainable, and competitive. Your base salary is determined by the IC4 pay band for your location zone (1-4). Our pay bands are informed by market data and designed to ensure competitive compensation wherever you live. During the recruiting process, we'll discuss the range applicable to you based on job level, relevant skills, experience, qualifications, and location zone. 💰 The starting salary for the IC4 pay band in each zone is: Zone 2: $176,000 USD Zone 3: $132,000 USD Zone 4: $88,000 USD 📈 In addition to competitive cash compensation, we offer meaningful equity (because when Sourcegraph succeeds, we want you to succeed, too) and generous perks & benefits . Interview process Below is the interview process you can expect for this role (you can read more about the types of interviews in our Handbook). It may look like a lot of steps, but rest assured that we move quickly and the steps are designed to help you get the information needed to determine if we’re the right fit for you… Interviewing is a two-way street, after all! We expect the interview process to take 5.5 hours in total. 👋 Introduction Stage - we have initial conversations to get to know you better… [30m] Recruiter Screen [30m] Hiring Manager Screen 🧑‍💻 Team Interview Stage - we then delve into your experience in more depth and introduce you to members of the team, including cross-functional partners… [60m] Resume Deep Dive [60m] System Design [60m] Harden a Code Research Agent Interview [60m] Cross-functional team collaboration / Values 🎉 Final Interview Stage - we move you to our final round, where you gain a better understanding of our business and values holistically… [30] Leadership We check references and conduct your background check Please note - you are welcome to request additional conversations with anyone you would like to meet, but didn’t get to meet during the interview process. Learn more about us You can learn more about what it is like to work at Sourcegraph by reading our handbook . We are an ambitious team who are collectively working hard to build the most influential company in the world. You can read more about our culture , competitive compensation and benefits here. Sourcegraph is an equal opportunity workplace; we welcome people from all backgrounds. Sourcegraph participates in E-Verify for U.S. Employees.

Задачи: — Развёртывание и эксплуатация продуктовых систем компании во всех средах: prod, stage, test, qa, demo. — Настройка, развитие и сопровождение CI/CD-пайплайнов для backend-сервисов (.NET), web-frontend, Node.js-сервисов и мобильных приложений (iOS/Android), включая подпись и публикацию в магазины приложений. — Сопровождение self-hosted GitLab, GitLab Runner и Container Registry: обновления, бэкапы, восстановление, производительность, права доступа. — Эксплуатация контейнерной платформы на Docker Swarm: деплой сервисов, конфигурации и секреты, сетевой слой, обратный прокси (Traefik/nginx), TLS-сертификаты. — Обеспечение воспроизводимости и единообразия окружений, контроль отличий между средами. — Автоматизация инфраструктуры как кода (Ansible, Terraform или аналоги), отказ от ручных правок на серверах. — Построение и сопровождение мониторинга, логирования и алертинга (Grafana, Prometheus, Loki, Alertmanager): SLO/SLI для продуктовых систем, дашборды, дежурные уведомления. — Организация резервного копирования и регулярной проверки восстановления для PostgreSQL, MinIO, GitLab и конфигураций. — Эксплуатация инфраструктурных компонентов платформы: PostgreSQL, Kafka, RabbitMQ, MinIO, Keycloak, Redis, включая обновления и миграции. — Работа с облачной инфраструктурой (Yandex Cloud: Cloud Functions, API Gateway, Object Storage, DNS) и GitHub Actions для облачных сервисов. — Внедрение практик безопасности в поставку: SAST/SCA, secret scanning, сканирование образов, управление секретами, ротация ключей, минимизация привилегий. — Подготовка и сопровождение runbook по каждой системе: перезапуск, откат, диагностика, восстановление после сбоя; участие в разборе инцидентов и постмортемах. — Участие в проектировании архитектуры новых цифровых сервисов с точки зрения деплоя, отказоустойчивости, наблюдаемости и стоимости эксплуатации. — Совместная с разработчиками настройка quality gates в CI/CD и стандартов ветвления, релизов и версионирования. Требования: — Высшее образование в области информационных технологий, прикладной математики, программной инженерии, автоматизации, вычислительной техники или смежных технических направлений. — Опыт работы не менее 5 лет в ИТ-инфраструктуре или разработке, из них не менее 3 лет в роли DevOps/SRE-инженера с ответственностью за production. — Дополнительное профильное обучение по разработке ПО, архитектуре, DevOps, cloud, тестированию или ИБ будет преимуществом. — Опыт построения DevOps-практик с нуля в небольшой команде: стандарты, пайплайны, мониторинг, runbook, а не только поддержка готового. — Опыт работы с распределённой по нескольким площадкам инфраструктурой (несколько хостинг-провайдеров плюс публичное облако). — Опыт организации дежурства и реагирования на инциденты, проведения постмортемов. — Опыт проверенного восстановления из бэкапов, а не только их настройки. — Опыт эксплуатации .NET-сервисов в Linux-контейнерах: диагностика производительности, память, health checks, graceful shutdown. — Готовность работать в компактной команде рядом с разработчиками, участвовать в проектировании и code review инфраструктурной части. — Умение документировать системы понятно для коллег и аргументировать технические решения. — Будет преимуществом опыт работы в корпоративной среде с повышенными требованиями к ИБ, traceability и релизному контролю. Условия: — Субсидирование ипотечного кредитования. — Льготные путевки в собственный санаторий. — Ежегодная индексация. — Расширенная ДМС (после испытательного срока). — Корпоративная программа пенсионного обеспечения. — Дополнительные выплаты: поддержка многодетных родителей, выплата при рождении ребенка. — Офис в пешей доступности от станции Сколково. — Корпоративный транспорт от м. Тропарево и от м. Новопеределкино. — График работы: с 8:30 до 17:00, пятница до 16:00.

Location: United States; Canada Workplace: Remote As a Senior Software Engineer at Coder, you’ll build and evolve the systems behind our agentic development experience. You’ll work across the agent harness, integrations, and workflows that connect agents with real development environments. You’ll stay hands-on, solve complex technical problems, and work closely with Product, Design, and other engineers to ship reliable agentic experiences.   What you’ll do here - Design and build production systems in Go, with work across React and TypeScript where needed. - Improve agent execution, tool use, context management, streaming, and long-running workflows. - Extend our provider-agnostic architecture as models and capabilities change. - Build reliable integrations between agents, workspaces, tools, and developer infrastructure. - Own projects from implementation through rollout and iteration. - Contribute to design reviews, code reviews, and technical discussions. - Partner with Product and Design to turn agent capabilities into useful developer experiences. - Improve the reliability, performance, and operability of agentic systems.   What we’re looking for - Strong experience building and operating production software systems. - Hands-on experience with Go. - Experience with React and TypeScript. - Experience building systems around LLMs or agentic workflows. - Familiarity with model APIs, tool calling, context management, or agent loops. - Good understanding of distributed systems and production reliability. - Working knowledge of AWS. - Strong problem-solving skills and comfort working through technical ambiguity. - Someone who contributes beyond their own code through reviews, collaboration, and knowledge sharing.   Bonus tacos if you have - Experience building coding agents, developer tools, or cloud development environments. - Experience with MCP, agent tools, or multi-agent systems. - Experience with remote execution, sandboxing, or isolated compute. - Experience building integrations across multiple model providers. - Experience with AWS, Kubernetes, Docker, or Linux. - Open-source contributions or experience working directly with customers.   Our tech stack - Backend: Go, Postgres - Frontend: TypeScript, React - Infrastructure: AWS, Kubernetes - Observability: Prometheus, Grafana - CI/CD: GitHub Actions   Coder’s agentic architecture is provider-agnostic. The foundation is built; this role helps extend it, improve it, and ship the next set of agentic capabilities. ABOUT CODER Coder is the leading platform for AI development Infrastructure, enabling enterprises to securely run human and AI-driven development workflows in consistent, governed environments. Coder provides self-hosted, agent-ready workspaces that unify developer productivity and platform governance. With Coder, enterprises can confidently evolve from human-only development to AI-assisted and autonomous workflows, without sacrificing security, compliance, or performance. Learn more at coder.com http://coder.com. INTERVIEW PROCESS  We believe that the interview process should be transparent, consistent, and enjoyable. We value your time and hope to complete the interview process in two to four weeks, if schedules allow. Through your interviews, you will meet a mix of individual contributors, managers, and senior leaders. AI USE DURING THE INTERVIEW PROCESS As an AI company, Coder embraces the use of AI tools, and we want to be transparent about our expectations as you navigate our interview process. Not permitted: Using AI assistance during conversational interviews. Permitted: Using AI tooling for take-home assessments. Please flag where and to what extent it was used in your take-home. Your submission will not be penalized for using AI as long as it is done honestly. OUR USE OF AI IN HIRING We use AI tools to help manage our recruitment process efficiently and fairly. Specifically: - Ashby and Brainerr help us review inbound applications by surfacing candidates who best match the role requirements we've defined. This tool does not make hiring decisions; it helps our team prioritize which applications to review first. - Granola takes notes during our interview calls so our team can focus on the conversation with you. All hiring decisions are made by humans. Our team reviews applications, conducts interviews, and makes final selections. AI tools assist us but never replace human judgment, and these practices are conducted in compliance with applicable data protection, AI governance, and labor laws. Your data is not used to train AI models. In accordance with New York City Local Law 144, an independent bias audit has been conducted on "Automated Employment Decision Tools"; results are available for Ashby https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf. If you're applying for a role at Coder and have questions about how we use AI in our process, or if you'd like to request information about the data we collect, please contact careers@coder.com.   CODER IS A PROUD EQUAL OPPORTUNITY EMPLOYER We are committed to providing equal employment opportunities to qualified applicants and do not discriminate on the basis of race, color, ancestry, religion, sex, pregnancy, gender, gender identity, gender expression, sexual orientation, national origin, age, marital status, genetic information, disability, protected veteran status or any other characteristic protected by federal, state, or local laws.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! As a Technical Account Manager (TAM), you will serve as a trusted technical advisor to some of Figma's largest enterprise customers, working closely with customer enablement, sales, and product teams to guide sophisticated implementations involving identity systems, APIs, integrations, governance, and extensibility. This role sits at the intersection of customer success, enterprise architecture, and developer workflows, with a goal of reducing technical risk, accelerating adoption, and ensuring customers are set up for long-term success. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Serve as a strategic technical advisor for enterprise customers, helping them adopt and scale Figma in alignment with their business and technical goals Lead structured technical engagements that assess customers’ current environments, identify risks or gaps, and provide clear, prescriptive guidance for successful implementation Guide customers through enterprise API usage and system integrations, helping them extend Figma’s capabilities within their broader technology ecosystems Partner with developer teams to improve design-to-code workflows, including Dev Mode adoption, extensibility initiatives and other emerging platform capabilities (Code to Canvas) Deliver technical workshops and training sessions to help customers confidently use sophisticated platform features Collaborate cross-functionally with sales, customer experience, and product teams to ensure customers receive cohesive and high-impact technical guidance Surface technical insights and opportunities that support renewals, expansion, and long-term account growth Build strong relationships with technical stakeholders and executive sponsors by clearly translating technical concepts into business value We'd love to hear from you if you have: 5+ years of experience in technical account management, solutions engineering, enterprise customer success, or a related technical advisory role within a SaaS organization A solid understanding of enterprise systems, APIs, integrations, development frameworks and identity management frameworks Experience advising on or implementing AI-powered solutions within enterprise environments, including evaluating architectural considerations, governance requirements, and integration strategies for emerging AI technologies Superb communication skills and the ability to confidently engage both technical and non-technical audiences A consultative mentality and a passion for navigating multiple stakeholders within complex customer environments helping tackle technical challenges While it’s not required, it’s an added plus if you also have: Familiarity using Figma or other design and developer collaboration tools Understanding how to tailor AI output through the use of guidelines and skills to enrich context for MCP servers and LLMs A background in frontend development or familiarity with design-to-code workflows Delivered technical workshops, enablement sessions, or advisory services in past roles At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $140,000 — $296,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Bulgaria, Poland Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers. What You’ll Do Design, build, and maintain full-stack web applications, ensuring high performance, scalability, and security Implement new features and enhancements in a well-tested, maintainable, and efficient way Collaborate with Product managers and UX designers to create intuitive, responsive, and accessible interfaces Review, analyze, and implement technical solutions to meet business requirements, driving resolution of issues and bugs Contribute to architectural decisions, API design, and system integrations Provide technical leadership to the engineering team - guide design discussions, perform code reviews, and support continuous improvement Participate in task estimation, prioritization, and planning in alignment with engineering processes What You Bring Extensive professional expertise Python/Node.js and proven experience with modern frontend frameworks (React.js, Vue.js, or Next.js) Ability to design and deliver scalable, high-performance applications with clean, maintainable code Experience in contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and existing systems Deep understanding of API development, microservices, and system integration Experience building secure and user-focused web interfaces with attention to UX patterns and best practices Hands-on knowledge of cloud services (preferably AWS) and database technologies (SQL/NoSQL) Strong sense of ownership, leadership mindset, and ability to guide other engineers A collaborative, proactive approach to problem-solving and communication in distributed teams English Language Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: Bulgaria, Poland Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client The leading provider of vehicle lifecycle solutions, with headquarters in Chicago, enables the companies that build, insure, and replace vehicles to power the next generation of transportation. Its platform delivers advanced mobile, artificial intelligence, and car technologies. It connects a network of 350+ insurance companies, 24,000+ repair facilities, hundreds of parts suppliers, and dozens of third-party data and service providers. The customer's collective solutions enhance productivity and help clients deliver better experiences for end consumers. What You’ll Do Design, build, and maintain full-stack web applications, ensuring high performance, scalability, and security Implement new features and enhancements in a well-tested, maintainable, and efficient way Collaborate with Product managers and UX designers to create intuitive, responsive, and accessible interfaces Review, analyze, and implement technical solutions to meet business requirements, driving resolution of issues and bugs Contribute to architectural decisions, API design, and system integrations Provide technical leadership to the engineering team - guide design discussions, perform code reviews, and support continuous improvement Participate in task estimation, prioritization, and planning in alignment with engineering processes What You Bring Extensive professional expertise in Python/Node.js and proven experience with modern frontend frameworks (React.js, Vue.js, or Next.js) Ability to design and deliver scalable, high-performance applications with clean, maintainable code Experience in contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and existing systems Deep understanding of API development, microservices, and system integration Experience building secure and user-focused web interfaces with attention to UX patterns and best practices Hands-on knowledge of cloud services (preferably AWS) and database technologies (SQL/NoSQL) Strong sense of ownership, leadership mindset, and ability to guide other engineers A collaborative, proactive approach to problem-solving and communication in distributed teams English Language Upper-Intermediate Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more. Reasonable accommodations are available to enable individuals with disabilities to perform essential functions. Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs. Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Требования: — Опыт работы в QA от 5 лет — Сильная экспертиза в ручном тестировании frontend и backend — Опыт автоматизации тестирования на JavaScript / TypeScript — Практический опыт работы с Playwright — Опыт тестирования REST API и WebSocket — Понимание принципов микросервисной архитектуры — Уверенные навыки работы с SQL — Опыт работы с CI/CD Условия: — Гибкий формат работы: офис или удаленно — Комфортный уровень оплаты — Обучение и обмен экспертизой внутри команды — Компенсация профильного обучения — Поддержка релокации за счет компании

Задачи: — Отработка инцидентов на окружениях заказчика и участие в рабочих сессиях с технической командой заказчика — Багфикс, глубокая оптимизация приложения и SQL-запросов — Поддержка и развитие инфраструктуры (DevOps) — Активное внедрение и использование AI-тулинга в ежедневных инженерных задачах Требования: — Крепкая инженерная база: сильное понимание backend и frontend (не обязательно знать весь стек, гэпы подтянут) — Английский язык: от B2 (разговорный) для регулярных созвонов и общения с американской стороной — Русский язык: разговорный, команда русскоязычная — Гибкий рабочий день с перекрытием 3–5 часов по MSK, готовность подключаться на митинги по Pacific Time (2–4 раза в неделю), редкие подключения по выходным при критичных инцидентах — Высокая автономность, нейропластичность, готовность к взаимовыручке с коллегой Условия: — Работа на крупном американском проекте с высокой нагрузкой и зрелыми инженерными процессами — Полностью удалённая работа с гибким графиком — B2B-контракт (ИП, вне РФ и РБ) — Компенсация $3,000 – $5,000+ gross в месяц, обсуждается индивидуально под уровень кандидата

О продукте: Международный B2C-продукт в сфере utilities. Web-приложение с адаптивной мобильной версией. Задачи: • тестирование Web-приложения и мобильного адаптива • тестирование REST API • разработка и поддержка автотестов на Python • функциональное, интеграционное и регрессионное тестирование • тестирование клиент-серверного взаимодействия • работа с БД и проверка данных • анализ логов и локализация ошибок • участие в CI/CD процессе Требования: • коммерческий опыт в QA от 3 лет • опыт автоматизации на Python • опыт тестирования Web и адаптивной верстки • уверенное тестирование REST API, Postman • SQL, понимание структуры и связей БД • Git / GitHub • понимание HTTP/HTTPS, JSON, REST, client-server architecture • опыт работы с DevTools • умение самостоятельно локализовать проблему на уровне frontend, backend, API или БД Будет плюсом: • pytest • Selenium / Playwright • опыт с CI/CD • Linux / Unix • опыт тестирования платежей, подписок или fintech-продуктов

Задачи: • тестирование Web-приложения и мобильного адаптива • тестирование REST API • разработка и поддержка автотестов на Python • функциональное, интеграционное и регрессионное тестирование • тестирование клиент-серверного взаимодействия • работа с БД и проверка данных • анализ логов и локализация ошибок • участие в CI/CD процессе Требования: • коммерческий опыт в QA от 3 лет • опыт автоматизации на Python • опыт тестирования Web и адаптивной верстки • уверенное тестирование REST API, Postman • SQL, понимание структуры и связей БД • Git / GitHub • понимание HTTP/HTTPS, JSON, REST, client-server architecture • опыт работы с DevTools • умение самостоятельно локализовать проблему на уровне frontend, backend, API или БД Будет преимуществом: • pytest • Selenium / Playwright • опыт с CI/CD • Linux / Unix • опыт тестирования платежей, подписок или fintech-продуктов Условия: - Зарплата от 2000 EUR - Удаленная работа - Полная занятость (full-time)