G

Staff Backend Engineer, India (Rust)

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. Mo…

gitlab На сервисе с: 19.10.26 23:15

↑ Вакансия с автоподнятием
Зарплата не указанаИндияBangaloreУдалёнка

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 a Staff Backend Engineer, you will provide technical leadership across your team and adjacent teams, solving the highest-scope and most complex problems in your area. You will lead large, cross-cutting backend initiatives, drive our modular architecture strategy, and define the standards that let teams move faster without compromising quality, security, reliability, or operability.

This is a technical leadership role that combines deep backend expertise, systems judgment, product judgment, and influence across organizational boundaries. You will work with Product, Frontend, Infrastructure, Security, Data, Engineering Managers, and engineers across product groups, bringing subject matter expertise, and you will do it without relying on formal authority.

Why you’ll love this role

  • Leverage: Your work multiplies across teams. The platforms, standards, and architectural decisions you lead determine how quickly everyone else can ship.
  • Genuinely Hard Problems: You’ll lead the modernization of a large monolith toward modular, reusable, appropriately independent systems — at the scale of a platform used by millions of users.
  • Influence Without Bureaucracy: You’ll shape technical direction across teams through clear written proposals and decision records, and partner with Product and Engineering leadership on platform roadmap and investment trade-offs.
  • Frontier AI Work: You’ll lead adoption of AI-assisted and agentic engineering workflows and define the review, quality, security, and privacy guardrails that make them safe to rely on.
  • Autonomy: You’ll thrive in our remote-first, asynchronous organization, where clear written communication and self-direction are the pillars of success.

What you’ll do

  • Lead Cross-Cutting Initiatives: Lead the technical design and delivery of large backend initiatives that span teams, and identify and remove systemic bottlenecks across product and infrastructure groups.
  • Own Architecture Strategy: Drive modular backend, service, data, and platform architecture. Lead modernization of the monolith and legacy backends toward modular, reusable, and appropriately independently operated systems — while preventing fragmentation and service sprawl.
  • Set the Standards: Define and improve standards for APIs, contracts, compatibility, schema evolution, testing, security, performance, observability, operability, and maintainability — plus the build, test, deploy, release, rollback, and production-readiness practices needed to operate modular features safely.
  • Establish Shared Patterns: Create the patterns for dependency management, data ownership, eventing, failure isolation, service maturity, and operational documentation. Establish Go service patterns and Kubernetes operating practices where they matter to our production estate, and guide Rust adoption where it solves a real systems, security, performance, or supply-chain problem.
  • Own What You Build in Production: Take part in on-call and incident response for the systems your teams own, act as a technical escalation point during complex incidents, and turn what you learn into architectural and operational improvements that prevent recurrence.
  • Influence and Partner: Shape technical direction across teams without formal authority, and partner with Product and Engineering leadership on platform-level roadmap decisions and investment trade-offs.
  • Grow Engineers: Mentor Senior and Intermediate engineers, shepherd technical debt reduction and reusable patterns that improve throughput, and raise the technical capability of the wider team.
  • Lead AI Adoption: Lead team-level adoption of AI-assisted and agentic workflows, including the quality, security, privacy, and operational guardrails, and help engineers direct, validate, reject, and course-correct agent output.

What you’ll bring

  • Cross-Team Technical Leadership: A sustained record of technical leadership across more than one team or a broad product area.
  • Deep Architecture Experience: Deep backend architecture and production experience in complex applications, services, or platforms, including scaling or governing APIs, service platforms, data systems, modular monoliths, or shared backend components.
  • Modularization in Production: Experience modernizing a monolith or legacy backend architecture in production, and with modular architecture such as bounded contexts, package encapsulation, ports and adapters, service extraction, event-driven boundaries, or an equivalent approach.
  • Influence Without Authority: A strong ability to create alignment through clear written proposals and decision records, so decisions are documented, understood, and adopted without constant escalation.
  • Product Judgment: The ability to balance customer outcomes, delivery speed, technical health, reliability, and long-term platform investment.
  • Mentorship: Experience mentoring engineers and shaping standards through code review, documentation, and example.
  • Agentic AI Leadership: Production experience with AI-assisted or agentic engineering workflows, including the ability to evaluate and improve how a team adopts them.

Helpful experience 

  • Go services and APIs at scale.
  • Kubernetes and cloud-native operations, including deployment, scaling, observability, rollback, and production readiness.
  • Rust adoption or production ownership for systems, security, performance, or platform components.
  • Ruby/Rails modularization and large-monolith modernization.
  • PostgreSQL scaling, data partitioning, queues, messaging, or distributed systems.
  • Security-sensitive product or software supply chain engineering.
  • Experience across SaaS, single-tenant, self-managed, or air-gapped deployment constraints.

How GitLab Supports Full-Time Employees

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.

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G

Senior Backend Engineer, Trusted Agentic Development

gitlabНа сервисе с: 19.10.26 21:36↑ Вакансия с автоподнятием
Зарплата не указанаПольша

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.

An overview of this role

The Trusted Agentic Development team sits within GitLab's Developer Experience group and builds the platforms our engineers rely on every day. GitLab engineers increasingly build software with artificial intelligence agents. Agents can generate code and tests in seconds, but they can also produce passing test suites for software that doesn't work as intended. As a Senior Backend Engineer, Trusted Agentic Development, you'll own the technical thesis for closing that validation gap and build the early proof yourself. You'll rethink what validation means when the author is an agent and make the feedback loop fast, automatic, and trustworthy enough that teams choose to adopt it.

  • Validation that confirms agent-generated code does what was intended, so a passing suite means a working feature and not just a satisfied proxy.
  • Mid-loop feedback that helps an agent self-correct toward working software instead of green assertions.
  • Language-aware approaches under one shared model of what "trusted" means, starting with Rust, Ruby, and Go, while allowing the right technique to differ by language.
  • Real measurement of whether engineers trust and adopt the path, fed straight back into the platform.

What you’ll do

  • Own the technical thesis for how GitLab validates software when an agent is the author, and turn it into an architecture the team can build against.
  • Prototype the hard parts by building early versions of feedback mechanisms that catch the gap between passing tests and working software, proving what works before the team scales it.
  • Develop approaches for GitLab's primary stacks, starting with Rust, Ruby, and Go, under one shared definition of "trusted," while allowing the right technique to differ by language.
  • Design the mid-loop feedback an agent needs to self-correct toward working software rather than green assertions, and build the systems that deliver it.
  • Collaborate with engineering teams to adopt these approaches, measure adoption, engineer trust, and validation quality, and use those findings to improve the platform.
  • Set technical direction the team can build on, review designs, and help teammates grow their technical judgment.

What you’ll bring

  • Deep, current, hands-on experience building real software with artificial intelligence agents, ideally across more than one language, and a clear understanding of why agent output can pass tests yet fail in production.
  • A strong point of view on the validation gap and concrete ideas for closing it, backed by approaches you've built or tried.
  • Experience designing distributed systems designed to run on Kubernetes first.
  • The technical range to design systems rather than tune a single framework, and the judgment to know when a solution should be general or language-specific.
  • You prototype to learn, and you ship.
  • The ability to influence engineers across an organization without formal authority through working code and sound reasoning.
  • Strong written communication in an all-remote, asynchronous environment.
  • Alignment with GitLab's values, especially collaboration, iteration, and transparency.

This isn't a quality assurance or test automation role. We aren't looking for depth in a particular testing framework. We're looking for someone who has built with agents, experienced the validation gap firsthand, and wants to solve it.

About the team

The Trusted Agentic Development team is part of GitLab's Developer Experience group. We build platforms and practices that help GitLab engineers validate agent-generated software with confidence. We work across engineering teams and programming languages to understand how people use agents, test new approaches in real workflows, and create a shared model of trusted agentic development that teams choose to adopt.

Poland base salary range: 272,000 PLN – 408,000 PLN
The base salary range for this role’s listed level is currently for residents of the EU, applicable in the specified country or countries only. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. 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 and having regard to any applicable collective agreements. The base salary range does not include bonuses, equity, or benefits.

 

How GitLab Supports Full-Time Employees

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.

hh.ru
amex development

Go-разработчик (senior, highload)

amex developmentНа сервисе с: 26.10.26 11:22
Зарплата не указанаРоссияМоскваУдалёнка

Пожалуйста указывайте в сопроводительном письме Вашу локацию и ожидания по з.пл. в рублях!

О проекте:

Высоконагруженная платформа сбора и обработки событий телеком-инфраструктуры: сервисы принимают десятки тысяч событий в секунду, обогащают их и отдают в аналитику и биллинг. Go-команда отвечает за приём, маршрутизацию и хранение данных в PostgreSQL и ClickHouse. Работа идёт с реальным highload: узкие места видны по метрикам, а решения проверяются нагрузочными тестами.

Задачи:

  • Разрабатывать сервисы приёма и обработки событий и телеметрии на Go
  • Проектировать gRPC/HTTP API и микросервисы с минимальными задержками
  • Работать с Kafka/NATS, PostgreSQL и ClickHouse, оптимизировать запросы и хранение
  • Внедрять кэширование в Redis и маршрутизацию трафика через API Gateway
  • Профилировать код и устранять узкие места под нагрузкой
  • Писать тесты, проводить код-ревью, участвовать в архитектуре и разборе инцидентов
  • Развивать наблюдаемость: метрики и трассировка (OpenTelemetry, Prometheus/Grafana)

Требования:

  • Опыт коммерческой разработки на Go от 5 лет
  • Опыт highload-систем: concurrency, профилирование, оптимизация
  • gRPC и REST, понимание HTTP/2
  • PostgreSQL: индексы, оптимизация запросов
  • Kafka или NATS, Redis
  • Docker, Kubernetes, CI/CD
  • Культура тестирования и код-ревью
  • ClickHouse, TimescaleDB
  • API Gateway, биллинг и учёт потребления
  • OpenTelemetry, Prometheus/Grafana
  • Опыт телекома, BSS/OSS, IoT или телеметрии
  • Нагрузочное тестирование

Условия:

  • Полная занятость с графиком 5/2
  • Удалённый формат работы
  • Работа в аккредитованной ИТ-компании
  • Работа с современным стеком технологий и крупными игроками рынка
  • Официальное трудоустройство по ТК РФ или ИП
hh.ru
астразенека

Tech Lead Full-Stack Developer

астразенекаНа сервисе с: 25.09.26 12:08↑ Вакансия с автоподнятием
Зарплата не указанаРоссияМоскваГибрид

Сейчас мы развиваем и усиливаем нашу команду Data&Digital, и у нас для тебя есть вакансия — Tech Lead Full-Stack Developer

Мы строим цифровую экосистему, через которую врачи, провизоры и пациенты получают знания и сервисы AstraZeneca: сайт, мобильное приложение и платформу данных, которая связывает всё в один маршрут.

Ищем техлида, который пишет код сам, ведёт небольшую команду и строит разработку вокруг ИИ-агентов. Не «пробует ассистента в редакторе», а отвечает за конвейер, где агенты проектируют, пишут, тестируют и проверяют друг друга, а человек ставит задачи и держит качество.

Экосистема «Карта жизни»: сайт, мобильное приложение и платформа данных · Data & Digital, AstraZeneca Россия.

Цифровая экосистема состоит из трёх частей.

  1. Сайт «Карта жизни». Уже работает.

  2. Мобильное приложение. Создаём с нуля.

  3. Платформа данных о взаимодействии с врачом. Пишем с нуля и полностью заменяем ею старые и вендорские системы. Чужой код разбирать не придётся: архитектуру закладываете вы.

Стек : Бэкенд на Go; Python и FastAPI там, где он уместнее: аналитика, интеграции с данными. Фронтенд на Vue и Nuxt, Node.js только как слой рендеринга. Мобильное приложение запускаем с нуля, подход выберете вы. PostgreSQL как единственная база, Kafka, Redis, S3. Всё в контейнерах в Yandex Cloud, инфраструктура как код, CI/CD с автоматическими проверками, наблюдаемость. Для ИИ-конвейера: Claude Code и агентные фреймворки, LLM API, собственные оценки качества.

Основные вызовы и задачи:

  • Проектировать архитектуру сайта, мобильного приложения и платформы данных: сервисы, интеграции и модели данных.

  • Самостоятельно писать код на наиболее сложных участках продукта.

  • Развивать сервисы работы с клиентскими данными, согласиями и историей взаимодействий.

  • Запустить первую версию мобильного приложения и выстроить процесс его дальнейшего развития.

  • Организовать разработку с использованием ИИ-агентов: от постановки задачи и проектирования до тестирования, проверки безопасности и выпуска.

  • Управлять небольшой командой: ставить задачи, проводить ревью, развивать инженеров.

  • Отвечать за качество, надёжность, мониторинг и информационную безопасность решений.

Ты идеально нам подходишь, если у тебя есть:

  • От 6 лет опыта в коммерческой разработке, включая не менее 2 лет в роли техлида или ведущего разработчика.

  • Уверенный full-stack опыт: Уверенный Go на бэкенде; Vue или React на фронтенде; PostgreSQL, Kafka, Redis; контейнеры и облако.

  • Опыт проектирования сервисов с данными: модель, очереди, интеграции, идемпотентность, миграции.

  • Ежедневная практика агентской разработки: вы уже строили процесс, где агенты делают существенную часть работы, и знаете, где они ломаются.

  • Привычка к тестам, автоматическим проверкам и наблюдаемости.

  • Английский на уровне документации и переписки с глобальными коллегами.

  • Будет существенным преимуществом: мобильная разработка, нативная или кроссплатформенная; платформы клиентских данных, мастер-данные, согласия и персональные данные по российскому закону; регулируемые отрасли — фарма, банки, телеком; собственные продукты, выпущенные с помощью ИИ от идеи до пользователей.

Успешному кандидату мы готовы предложить:

  • Возможность строить карьеру в динамичной атмосфере лидирующей инновационной компании с одним из сильнейших портфелей препаратов в отрасли.
  • Официальное трудоустройство согласно ТК РФ в компанию, входящую в реестр IT-компаний.
  • Возможность получать внутренние корпоративные скидки и привилегии – PrimeZone.
  • Комфортный и стильный офис в Москва-сити.

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