Вакансии

Location: Москва Наша NLP команда занимается задачами, связанными с извлечением информации из документов, диалогов, текстов различной природы. Главной задачей для нас является создание готовых продуктов с LLM под капотом, а также создание self-service для бизнеса, где каждый может создать нужный ему сценарий (скилл) в режиме No-code. Обязанности * разрабатывать и поддерживать бэкенд сервисов платформы (оценка полноты, читаемости, поиск дублей/противоречий, регресс-тесты, поиск неявных знаний) * проектировать и реализовывать интеграционные потоки между сервисами: очереди сообщений, оркестрация асинхронных пайплайнов * строить надёжные пайплайны вызовов LLM-as-judge: очереди, ретраи, кэширование, контроль стоимости и латентности * работать с Postgres (структура хранения) и Redis (кэш, очереди, rate-limiting) * участвовать в проектировании API сервисов (REST, документация через Swagger/OpenAPI) * писать поддерживаемый, тестируемый код, участвовать в код-ревью. Требования * знание python (уверенный уровень: асинхронность, типизация, тестирование) * опыт работы с брокерами сообщений (Kafka, RabbitMQ или аналоги) * Redis — практический опыт использования * Postgres — проектирование схем, написание и оптимизация SQL-запросов * Temporal (или готовность быстро войти в оркестрацию воркфлоу — Celery/Airflow опыт тоже подойдёт как база) * понимание интеграционной архитектуры. **Будет плюсом** * опыт работы с LLM API (OpenAI, Anthropic и т.д.) в проде * опыт проектирования пайплайнов оценки качества данных/контента * опыт в высоконагруженных или высоконадёжных интеграционных системах. Условия * гибридный формат работы * годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * регулярные митапы и развитое DS-community * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбер.

- 5+ years of backend development experience. - Strong proficiency in Python 3+ and Django.

biz middle darajadagi backend (python)/ai engineer izlayapmiz.

‼️ Qo`shimcha: Ai engineer / backend + frontend developer lavozimiga 1 nafar mutaxassis qidirilmoqda. vazifala r: ai/ml yechimlarini amaliy jarayonlarga joriy etish, katta hajmdagi ma’lumotlarni qayta ishlashni avtomatlashtirish va ai modellarini backend tizimlariga integratsiya qilish.

Location: Москва Мы помогаем государству проводить disrupt госуправления через внедрение AI/GenAI и ускорять национальное развитие AI/GenAI, организуем одно из крупнейших в мире профильных мероприятий – AIJourney, объединяем бизнес, государство и международное научное сообщество, чтобы обеспечить GenAI-трансформацию страны. Обязанности • проектирование и разработка бэкенда AI-сервисов: API, очереди, хранение данных, стриминг ответов • интеграция LLM-компонентов в продукт: сервисы инференса, поиск по документам, агентные сценарии с вызовом внешних систем • развёртывание в закрытом контуре без доступа в интернет: офлайн-сборки, зеркала пакетов и образов, установка на отечественные ОС • CI/CD, мониторинг, логирование, аудит действий пользователей • авторизация и интеграция с корпоративной инфраструктурой заказчика (LDAP/AD, SSO) • сборка демонстрационного интерфейса продукта • прохождение требований информационной безопасности вместе с тимлидом. Требования • От 5 лет коммерческой разработки на Python, бэкенд • FastAPI или аналоги, асинхронность, PostgreSQL, Redis, очереди задач • Docker и Docker Compose уверенно; Kubernetes на рабочем уровне • Linux-администрирование, nginx, сети, работа с GPU-серверами на базовом уровне (драйверы, CUDA, контейнеры с GPU) • Опыт настройки CI/CD и мониторинга (Prometheus, Grafana или аналоги) • Опыт развёртывания продукта на инфраструктуре заказчика, а не только в облаке • Активное использование AI-ассистентов в разработке. **Будет плюсом:** • опыт с LLM-приложениями: RAG, агенты, работа с vLLM или похожими серверами инференса • фронтенд на React/Next.js или готовность собирать интерфейсы с AI-ассистентами • Keycloak, Ansible, развёртывание в изолированных средах • Astra Linux, РЕД ОС, опыт работы с госзаказчиком или крупным enterprise • знание требований 152-ФЗ и ФСТЭК на практике. Условия * гибридный формат работы * ежегодный пересмотр зарплаты и годовая премия * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring a Staff Software Engineer to join the Business Systems team. In this role, you will play a crucial role in architecting, developing, and optimizing the backend infrastructure and user experiences that underpin WHOOP’s internal operations, enabling scale and efficiency across the organization. You’ll design, build and evolve critical services and integrations that support Supply & Demand Planning, Inventory Management, Order Management, Fulfillment & Logistics, Membership Services, and other business functions. This role is designed for a visionary backend engineer who is passionate about building scalable, reliable, and flexible systems, eager to tackle high-impact challenges, and committed to delivering user-centric solutions that pave the way for our growth. RESPONSIBILITIES: - Set technical direction for critical domains within the Business Systems team, establishing an architecture and roadmap that balances immediate business priorities with long-term reliability, flexibility, and scale. - Architect, develop, and maintain backend services, APIs, integrations, and internal tools that connect business platforms, reduce manual work, and improve the accuracy and flow of data across systems. - Design and implement well-loved user experiences to interact with backend systems. - Partner with stakeholders across all of the teams mentioned above to understand critical workflows, identify opportunities for needle-moving improvement, and translate them into technical solutions. - Lead engineering efforts for complex technical initiatives from discovery through production rollout, coordinating dependencies across teams and vendors and measuring outcomes through operational efficiency, reliability, and user adoption. - Strengthen the security and resilience of business-critical systems through automated testing, observability, appropriate access controls, and improvements informed by production incidents. - Mentor engineers and elevate technical decision-making through hands-on development, thoughtful design and code reviews, and clear documentation that builds shared understanding and ownership. - Independently drive your agenda forward; this is a highly cross-functional role that needs broad trust and alignment in order to thrive. You must be skilled in driving this independently while also being able to move quickly. QUALIFICATIONS: - BS in Computer Science, Engineering, or equivalent experience. - 8+ years of professional backend software engineering experience. - Experience delivering and operating production software for complex business workflows, with demonstrated technical leadership across multiple systems or teams. - Ability to evaluate architectural tradeoffs across custom software and third-party platforms, considering business value, security, reliability, and ongoing maintenance. - Deep expertise in designing APIs, working with relational databases, and integrating enterprise applications or cloud services, including managing data consistency, retries, and failure recovery. - Strong software engineering fundamentals and proficiency in at least one modern backend programming language (e.g., Java, Python, Go, or similar)., with a track record of writing maintainable, well-tested code. - Demonstrated ability to interface with multiple product domains, particularly in developing backend solutions for resilient, high-throughput data processing networks, task automation, and streamlined workflows to optimize business operations - Deep experience with cloud-based infrastructure (e.g., AWS, GCP, or Azure) and distributed systems. - A strategic problem-solver with the ability to turn ambiguous business needs into practical technical plans and communicate decisions clearly to both technical and nontechnical stakeholders. - A proactive, collaborative team player, eager to take on new challenges, continuously learn, and adapt in a fast-paced, data-informed environment - Experience mentoring engineers and influencing cross-functional partners through collaboration, sound technical judgment, and a focus on shared outcomes. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.   This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

As a Product Engineer at Dropbox, you will play a pivotal role in shaping the future of collaboration and file sharing. Your responsibilities will revolve around developing and enhancing our suite of Dropbox Products to deliver exceptional user experiences.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. As an Intermediate Backend Engineer on the GitLab Orbit team, you'll help build and operate a graph data service that supports GitLab Duo agents, analytics, and architecture-level features across GitLab.com, Dedicated, and Self-Managed deployments. You'll join a Rust-first team that values clear ownership, thoughtful system design, and rigorous thinking about data and reliability. The Knowledge Graph service is a Rust backend that builds a property graph from GitLab’s software development lifecycle (SDLC) and code data. It uses ClickHouse, NATS JetStream, and the Data Insights Platform. It exposes secure graph queries and MCP tools used by AI agents and product features. In this role, you’ll deliver features and improvements in well-scoped areas, learn the broader architecture, and contribute to reliability, observability, and operational readiness. In your first year, you’ll take clear ownership of specific components or features (for example, parts of the SDLC indexing pipeline or query paths). You’ll help reduce single points of failure with better tests and runbooks, and you’ll help the team ship analytical services that are easier to maintain and evolve over time. What you’ll do Implement and iterate on backend features in the Rust-based Knowledge Graph service, including changes to the query engine, SDLC and code indexing flows, and API endpoints (including MCP endpoints) under guidance from senior and staff engineers. Maintain integrations between Knowledge Graph and the rest of the GitLab platform, working in areas that touch GitLab Rails, the Data Insights Platform (Siphon, NATS, ClickHouse), and GitLab Duo Agent Platform. Contribute to system design discussions by proposing options, raising questions, and documenting decisions, with a focus on reliability, scalability, and maintainability for analytical graph workloads. Improve the operational maturity of the service by adding or enhancing metrics, logging, runbooks, alerts, and small readiness tasks, and by participating in on-call rotation as appropriate for your level and experience. Collaborate asynchronously with product, data, infrastructure, security, and AI counterparts to clarify requirements, align on scope, and ship features safely for customers and sustainably for the team. Use AI-assisted development workflows responsibly (for example, using Knowledge Graph-backed agents and internal Duo tooling), and share what works with the team while keeping a strong focus on code quality and correctness. Participate in code reviews, knowledge-sharing sessions, and pairing to both learn from others and help maintain consistent standards across the codebase. Contribute across the stack when needed, including occasional Ruby work for Rails integration and authorization paths, or small frontend changes related to Knowledge Graph features (for example, Software Architecture Map UI plumbing). Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Professional experience building and maintaining backend systems in production, with an understanding of reliability, maintainability, and how to support services over time (for example, incident response and follow-ups). Proficiency in at least one modern backend language and strong interest in Rust, with either prior Rust experience or clear evidence you can ramp quickly and deliver in a Rust-first, performance-sensitive codebase. Some exposure to distributed data or analytics systems (for example, OLAP databases, Kafka- or NATS-style messaging, or change data capture (CDC) pipelines), or strong motivation to develop those skills in this role. Interest in graph data modeling and query patterns (property graphs, multi-step (n-hop) traversals, aggregations), and willingness to learn the tools and concepts used in Knowledge Graph over time. Practical experience (or strong interest) using AI tools in day-to-day development, along with a thoughtful approach to validating outputs and integrating AI into your workflow. A language-agnostic mindset and evidence that you can pick up new languages and frameworks as needed (for example, Ruby, Go, or TypeScript/Vue where the work touches adjacent systems). Solid fundamentals in system design for your level, including the ability to reason about trade-offs, ask good questions, and align your implementation work with documented architectural decisions. Comfort working in a low-process, high-ownership environment where you take responsibility for your work, refine problem statements with teammates, and communicate progress clearly in writing across time zones in an all-remote team. About the team GitLab Orbit sits within the Data Engineering organization. We work closely with partners across AI (Duo Agent Platform), analytics, infrastructure and delivery, and security because our work spans many parts of the platform. We collaborate asynchronously rather than following a feature factory model. A key challenge for us right now is scaling sustainably as usage grows and team members take time off. That includes hardening multi-tenant behavior. At the same time, we're bringing Knowledge Graph to The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $115,200 — $162,000 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Responsibilities: — Define the technical vision, architecture, and standards across backend systems — Ensure system reliability, scalability, and performance at global consumer scale — Make high-quality architectural decisions across distributed systems, APIs, and data infrastructure — Improve system performance, latency, and fault tolerance — Foster a culture of ownership, accountability, and engineering excellence — Support domain-based team structures (e.g. pricing, matching, supply engagement) Requirements: — 10+ years of experience in software engineering, with strong backend expertise — Proven track record of designing and operating large-scale distributed systems — Deep understanding of backend architecture, infrastructure, and platform concerns — High technical judgment and attention to detail — Experience in consumer-scale products or marketplaces — Background in performance-critical systems (low latency, high availability) Benefits: — Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice — Competitive salary — Employee stock options plan — Private medical and dental insurance — Daily Lunch allowance — Latest-generation MacBook Pro and 4k display — Professional development stipend — Relocation support, including visa sponsorship and allowance

Задачи: — Для Senior Backend Engineer (C#/.NET): проектирование архитектуры, разработка REST API и микросервисов, участие в принятии технических решений — Для Middle Golang Developer: работа с микросервисной архитектурой, API, базами данных PostgreSQL и MongoDB, Kafka — Для Senior Backend Engineer (Node.js + TypeScript): проектирование распределенных систем, разработка высоконагруженных сервисов Требования: — Для Senior Backend Engineer (C#/.NET): глубокое знание C# и .NET, опыт проектирования архитектуры, разработки REST API и микросервисов, понимание распределенных систем, оптимизация производительности — Для Middle Golang Developer: коммерческий опыт от 2 лет, работа с микросервисной архитектурой, API, базами данных PostgreSQL и MongoDB, Kafka, качественный код, навыки тестирования — Для Senior Backend Engineer (Node.js + TypeScript): сильная экспертиза в Node.js и TypeScript, проектирование распределенных систем, разработка высоконагруженных сервисов, знание Kafka, MongoDB, Redis и микросервисной архитектуры

Location: Poland; Czechia; Bulgaria; Croatia; Romania; France About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role Our client is a Big4 Consultancy group that works with leading financial institutions on AI-driven transformation, automation, advanced analytics, and financial crime prevention . Their are building a production-grade AI-assisted KYC / Customer Due Diligence platform for an international insurance environment. We are looking for an experienced Backend / Full-Stack Engineer to build the services connecting the AI-driven CDD platform with enterprise systems. The role requires strong hands-on experience across C#/.NET and Python , with a focus on APIs, enterprise integrations, asynchronous workflows, containerization, Azure DevOps, and production reliability. CONTRACT: B2B or B2C contract COMMITMENT: Full-time, 3-4 months contract with possibility of extension or getting on new projects LOCATIONS: Remote, EU-based candidates START: ASAP PROCESS: Initial qualification followed by client interviews Responsibilities Build middleware APIs connecting enterprise applications, data platforms, and legacy systems. Develop and maintain ASP.NET Core Web APIs and Python services. Extend AI-driven service modules and connector frameworks. Implement reliable asynchronous workflows , callbacks, retries, and safe write-back mechanisms. Integrate with REST APIs, messaging systems, queues, databases, and enterprise platforms. Package and deploy services using Docker and CI/CD pipelines. Support deployments to Azure / Databricks-based environments. Write and maintain unit and integration tests . Troubleshoot issues found during testing and in production. Contribute to a business-critical platform where uptime, speed, and correct results are essential Requirements Strong hands-on experience with C# / .NET and ASP.NET Core Web APIs . Practical experience with Python , ideally FastAPI or a comparable framework. Experience building and integrating REST APIs and enterprise services. Experience with messaging / queues and asynchronous integration patterns . Strong experience with Docker, Git, and Azure DevOps CI/CD . Experience writing unit and integration tests for production services. Ability to work across modern cloud services and legacy enterprise systems. Fluent English and ability to work remotely within the EU.

Location: Remote, Canada GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. About the role As an Intermediate Backend Engineer, you will take backend features and improvements from clarifying the problem through shipping them and following up in production. You will work within a product area, partnering with Product Management, Frontend, Infrastructure, and Security to deliver predictably and contribute to the quality, security, performance, and maintainability of shared backend code and services. You will be trusted to work with minimal guidance, to know when to seek help, and to communicate clearly in a remote, asynchronous environment — with other tenured engineers alongside you to review your work, think through hard problems with you, and help you grow. Why you’ll love this role Ownership: You'll take features from requirements through delivery and follow-up; your code will run on a platform used by millions of users. Learning and Growth : You’ll work alongside your engineering team, who treat code review and design review as a learning loop rather than a gate — one of the fastest ways to grow your engineering judgment. Innovative Culture: You’ll use AI as a genuine part of daily engineering work, developing the judgment to know when to trust it and when not to. Autonomy: You’ll thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success. User-Centric Collaboration: You’ll partner closely with PMs and designers to shape requirements, so you understand why you’re building something, not just what. What you’ll do Own and Ship Features: Design, implement, test, and ship backend features and improvements with minimal guidance, working in Ruby/Rails, Go, or any other modern languages. Build for Production: Write maintainable, secure, observable, and performant code. Design and maintain APIs, background jobs, integrations, and bounded service functionality, and work with data models, migrations, indexes, and query behavior. Test and Review: Add and improve automated coverage — unit, integration, contract, and end-to-end where appropriate — and review others’ code for correctness, maintainability, security, performance, and operational risk. Operate What You Build: Investigate build, test, deployment, and runtime failures at the feature boundary, identify technical debt and propose practical improvements, and take part in on-call or operational support where your team’s ownership model requires it. Leverage AI: Use AI productively in daily work, validate what it produces, and understand where its limitations matter. On Call Support: Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring Backend Fundamentals: Professional experience building and shipping production backend applications, with strong programming, API, database, testing, debugging, and performance fundamentals. Adaptability: Experience with Ruby/Rails, Go, or any other modern backend language. We value the ability to learn and adapt over mastery of a single language. Feature Ownership: The ability to take a feature from clarification through delivery and follow-up, working independently while seeking input at the right time. Practical Judgment: Sound instincts about security, reliability, performance, maintainability, and operational risk, plus an understanding of modular backend boundaries and the consequences of coupling. Clear Communication: Strong written communication and effective collaboration in a remote, asynchronous environment. AI Fluency: Practical experience with AI coding tools, including the ability to review and correct what they generate. Helpful experience Production Go services, APIs, concurrency, profiling, or gRPC. Docker, Kubernetes, Helm, CI/CD, or cloud deployment. Rust, particularly for systems, security, performance, or platform work. PostgreSQL, schema evolution, caching, queues, messaging, or event-driven workflows. Observability using metrics, logs, traces, dashboards, and alerts. Contributing to a modular monolith, bounded context, shared component, or independently operated service. Remote-Global How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

qiibee is looking for a Full Stack Engineer to build and operate partner APIs, ledgers and dashboards.

• развивать mobile app на React Native / TypeScript. • коммерческий опыт RN + TS.

-Разрабатывать backend-сервисы преимущественно на Go. -Реализовать API для запуска, управления и мониторинга вычислительных задач.

Baseten is looking for a Product Platform Backend Engineer to build scalable backend platforms, observability systems, commercialization systems, and internal developer tooling.

• Коммерческий опыт RN + TS. • Уверенная разработка под iOS / Android.

• Проектировать, писать и выпускать ключевые компоненты платформы: policy engine, signing orchestration, key lifecycle, recovery flows, approvals и audit trails. • Вести перекрёстные технические инициативы через RFC, дизайн‑ревью и код.