Задачи:
— поддержка работоспособности текущих сервисов;
— участие в запуске новых проектов;
— автоматизация инфраструктуры и сервисов посредством Ansible;
— внедрение Kubernetes;
— администрирование серверов и сервисов на базе ОС Linux;
— создание масштабируемых отказоустойчивых решений;
— участие в выстраивании процессов взаимодействия ИТ и ИБ;
— внедрение современных и актуальных инфраструктурных решений;
— активное участие в развитии IT-инфраструктуры компании.
Требования:
— опыт администрирования Linux;
— опыт работы в production-среде с Docker, Nginx;
— опыт работы с Postgres, Keycloak, VMware;
— уверенные навыки работы с Ansible;
— умение автоматизировать на скриптовых языках (Python, Bash);
— понимание принципов работы сетевых протоколов.
Будет преимуществом:
— опыт работы с CI/CD (Gitlab);
— опыт работы с Kafka;
— опыт работы с Kubernetes;
— опыт работы с ELK.
Условия:
— оформление полностью в соответствии с ТК РФ;
— ДМС со стоматологией в лучших клиниках страны;
— премиальные условия на все виды страхования в «СОГАЗе» для вас и близких родственников;
— собственный фитнес-центр в офисе в центре Москвы (оборудование Milon);
— скидки в детские лагеря и подарки на Новый год для детей сотрудников;
— реальные возможности профессионального и карьерного роста;
— настрой на долгосрочное сотрудничество;
— возможность работать гибридно (офис в пешей доступности от м. Чистые пруды).
ГибридМосква; Сейчас мы находимся в поиске DevOps-инженера, который возьмет на себя работу над развитием систем ИБ в компании СОГАЗ
Задачи:
— Разработка бекэнд для автоматизированных систем, направленных на мониторинг информационного пространства
— Доработка и автоматизация уже существующих систем
— Работа с микросервисной архитектурой, включая сервисы от небольших служебных до высоконагруженных для обработки данных
— Работа в формате 2-недельных спринтов с планированием и ретро
— Работа в командах по 10-12 человек
Требования:
— Опыт работы в аналогичной должности от 1 года
— Опыт работы с асинхронным Python 3.6-3.10, PostgreSQL, RabbitMQ
— Понимание принципов микросервисной архитектуры, обеспечение надежности взаимодействий системы и ее отказоустойчивости
— Умение покрывать свой код тестами
— Понимание работы с базами данных и асинхронности
— Умение работать с нагрузочным тестированием
— Стек: FastApi, Aiohttp, Kubernetes, Jenkins, SQLAlchemy, Redis, RabbitMQ, Pydantic, Alembit
— Будет плюсом: Selenium, Playwright, Gino, MySQL, pre commit hook, Twine, gRPC
Условия:
— Оформление по ТК РФ, 100% белая заработная плата
— График работы 5/2 с 8:30-17:30, пятница – сокращенный день до 16:15, возможность гибкого начала рабочего дня
— Гибридный формат работы с возможностью посещения офиса
— Современный комфортный офис
— Забота о здоровье сотрудников: добровольное медицинское страхование (после 3 месяцев работы), скидки по ДМС для родственников, скидки на стоматологию, полис для выезжающих за границу
— Материальные бонусы: годовая премия, дополнительные выплаты к отпуску, материальная помощь при рождении детей и к другим значимым событиям, помощь в сложных жизненных ситуациях
— Забота о развитии: внешнее обучение за счет работодателя, внутреннее обучение (СДО, тренинги)
— Корпоративные мероприятия, подарки для детей
Задачи:
— Тестировать backend-функциональность и микросервисы.
— Тестировать API: REST, gRPC и WebSocket.
— Проводить интеграционное тестирование сервисов, взаимодействующих по HTTP и AMQP, в том числе через RabbitMQ.
— Проверять работу с базами данных PostgreSQL и Redis.
— Анализировать и тестировать требования и техническую документацию.
— Разрабатывать тест-планы и тест-кейсы в TestIT.
— Вести документацию и работать с задачами в Jira и Notion.
— Локализовать, описывать и сопровождать дефекты.
— Готовить отчеты по результатам тестирования.
— Анализировать логи и данные мониторинга в Grafana и Sentry.
— Работать с тестовыми окружениями и подготавливать тестовые данные.
— Активно взаимодействовать с командой разработки.
Требования:
— Опыт работы QA-инженером от 3 лет.
— Обязательный опыт тестирования backend-сервисов.
— Опыт тестирования REST- и gRPC API.
— Опыт интеграционного тестирования.
— Уверенное владение SQL: SELECT, INSERT, UPDATE, JOIN, агрегатные функции.
— Понимание принципов работы брокеров сообщений, в частности RabbitMQ.
— Опыт работы с JSON и Protocol Buffers (Proto).
— Знание техник тест-дизайна и умение применять их на практике.
— Навыки работы с Postman, Git и инструментами разработчика в браузере (DevTools).
Будет плюсом:
— Опыт тестирования веб- и мобильных приложений.
— Опыт работы с Kubernetes.
— Опыт работы с CI/CD в GitLab.
— Опыт разработки и поддержки API- и UI-автотестов на Kotlin с использованием JUnit/TestNG и Selenium WebDriver.
— Опыт нагрузочного тестирования с использованием k6.
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Задачи:
— Разработка и развитие backend-сервисов на C#/.NET (ASP.NET Core, Web API) в микросервисной архитектуре.
— Проектирование и реализация REST API, проработка контрактов, версионирование API и интеграций.
— Работа с данными: проектирование схемы, оптимизация запросов, миграции в MS SQL Server / PostgreSQL (EF Core, Dapper).
— Интеграция с очередями сообщений: Kafka (или аналоги) - проектирование топиков, обработка ошибок, гарантии доставки.
— Участие в архитектурных решениях: выбор подходов, оценка trade-off’ов, влияние на стабильность и масштабируемость системы.
— Оптимизация производительности сервисов: анализ узких мест, работа с concurrency, кэширование, профилирование.
— Написание unit- и integration-тестов (xUnit/NUnit), участие в code review, улучшение качества кода и инженерных практик.
— Участие в CI/CD-процессах: Git, GitLab CI/Azure DevOps/Jenkins, деплой в production.
— Взаимодействие с командами разработки, DevOps, аналитиками и бизнес-стейкхолдерами.
— Учёт требований безопасности в корпоративных и банковских приложениях (аутентификация, авторизация, шифрование, аудит).
Требования:
— Коммерческий опыт разработки на C#/.NET от 3–6 лет, уровень Middle+ / Senior.
— Законченное высшее образование.
— Наличие военного билета (для военнообязанных).
— Уверенное знание .NET Core и .NET Framework, ASP.NET Core, Web API.
— Опыт разработки REST API (RESTful), применение IoC-контейнеров (built-in DI, Autofac и аналоги).
— Опыт работы с MS SQL Server (T-SQL) и/или PostgreSQL: схема, сложные запросы, оптимизация, индексы, транзакции, isolation levels.
— Опыт работы с Kafka: топики, партиции, consumer groups, гарантии доставки, идемпотентность.
— Понимание принципов микросервисной архитектуры и распределённых систем: service discovery, circuit breaker, rate limiting, observability.
— Понимание вопросов безопасности корпоративных приложений: аутентификация, авторизация, шифрование, аудит, защита данных.
— Опыт разработки высоконагруженных систем, проектирования сложных распределённых систем.
— Опыт разработки банковских систем или интернет-банков, знание банковской предметной области (счета, платежи, транзакции, лимиты, compliance).
— Опыт работы с Git, понимание принципов CI/CD.
— Умение работать автономно, брать задачу целиком и доводить до результата.
— Умение переводить бизнес-требования в технические решения и аргументировать свой выбор.
Будет плюсом:
— Опыт работы с Docker, Kubernetes, Azure/AWS, базовое понимание инфраструктуры и деплоя.
— Опыт работы с RabbitMQ, Azure Service Bus, MassTransit, gRPC, GraphQL.
— Знание паттернов DDD, CQRS, Event Sourcing, Clean Architecture, SOLID, GoF.
— Практика работы с мониторингом и логированием: Prometheus, Grafana, ELK, OpenTelemetry.
— Опыт работы с Redis, кэшированием, распределёнными кэшами.
— Английский язык для работы с зарубежной документацией, командами и стейкхолдерами (для европейских и американских проектов нужен уровень от B2+).
Процесс:
— Короткое общение с рекрутером.
— Техническое интервью / TechCertify-скрининг.
— Передача на подходящие проекты клиентам.
Задачи:
— разработка тест кейсов / сценариев тестирования.
— Анализ требований к продукту;
— локализация дефектов продукта, документирование обнаруженных дефектов и контроль их устранения;
— тестирование компонентов продукта по тест-кейсам и в эксплоративном режиме;
— подготовка тестового окружения;
— активное взаимодействием с аналитиками и разработчиками для решения поставленных задач;
— развитие подходов к тестированию и участием в формировании методик;
— контроль за тестированием отдельного модуля продукта.
Требования:
— понимание процесса тестирования и разработки (знание жизненного цикла ПО, жизненного цикла дефекта);
— знание методик тестирования ПО;
— продвинутые навыки тест-аналитики и тест-дизайна;
— опыт в разработке тест-кейсов, чек-листов и тест-планов;
— понимание сетевых технологий (знания сетевых протоколов прикладного и транспортного уровня, построения локальных сетей, понимание работы и архитектуры сетевых приложений);
— владение языком SQL на уровне запросов к БД;
— опыт тестирования API, Web;
— опыт работы с Docker и Kubernetes, Postman, Swagger;
— понимание микросервисной архитектуры ПО;
— опыт работы с службами каталогов;
— навык использования ИИ-агентов.
Будет преимуществом:
— опыт написания автотестов;
— понимание принципов работы реляционных СУБД, опыт администрирования баз данных (Oracle, PostgreSQL);
— знания построения и администрирования локальных сетей;
— знание Active Directory, Astra Linux Directory, опыт администрирования Squid, Exchange, Postfix, Apache, NginX;
— знание особенностей различных браузеров;
— знание принципов работы веб-приложений;
— знания DLP продуктов;
— уверенный пользователь средств виртуализации;
— знание ОС семейства Linux на уровне уверенного пользователя, умение работать с командной строкой.
Условия:
— гибкое начало рабочего дня;
— участие в форумах, конференциях, семинарах, митапах, обмен опытом в команде, повышение квалификации;
— уникальная стимулирующая программа для сотрудников, которые стремятся выступать на профессиональных мероприятиях и делиться своим опытом на Habr;
— бесплатное изучение английского языка;
— всесторонняя поддержка в период адаптации: наставник, индивидуальный план на испытательный срок, buddy;
— расширенная программа ДМС со стоматологией, страхованием жизни и здоровья от несчастного случая;
— компенсация питания на территории бизнес центра;
— бесплатные консультации с психологом;
— уютный офис с зоной отдыха, где можно поиграть в настольный теннис, аэрохоккей или классические настольные игры, а также воспользоваться корпоративной библиотекой;
— спортзал и массажный кабинет в офисе;
— увлекательные совместные мероприятия и активный отдых для сотрудников, а также подарки и праздники для детей.
Задачи:
— Кастомизация текущих и создание новых пайплайнов для мобильной разработки (iOS, Android)
— Подготовка macOS-машин и настройка ранеров
— Написание и отладка CI/CD-пайплайнов: скрипты сборки, тестирования и деплоя (Bash, Python)
— Работа с Helm-чартами: исправлять, дорабатывать, создавать новые
— Анализ и устранение ошибок сервисов в Kubernetes и Docker
— Настройка деплоя в K8s через GitLab CI/CD и Argo CD
— Автоматизация рутинных задач с помощью Ansible и внутренних инструментов
— Техническая поддержка разработчиков (3-я линия)
Требования:
— Опыт администрирования Unix/Linux-систем
— Практический опыт работы с GitLab CI/CD, Ansible, Docker
— Знание Helm
— Умение автоматизировать рутинные задачи с помощью Bash или Go/Python
— Понимание принципов мониторинга и навыки траблшутинга, включая использование Prometheus/Grafana
Будет плюсом:
— Опыт работы с Python, Go, Bash, в частности написание скриптов для пайплайнов
— Опыт развёртывания и администрирования GitLab «с нуля»
— Опыт работы с Fastlane
— Опыт сборки iOS приложений, знание Xcode
Задачи:
— Проектировать и разворачивать инфраструктуру с нуля.
— Настраивать CI/CD пайплайны для фронта и бэка.
— Поднимать и сопровождать кластер Docker Swarm и выстраивать процессы деплоя.
— После переезда спроектировать и провести миграцию на Kubernetes.
— Администрировать кластер Percona XtraDB Cluster (отказоустойчивость, бэкапы, восстановление).
— Настраивать мониторинг, алертинг и логирование.
— Работать в связке с командами разработки.
— Участвовать в технических переговорах с подрядчиками.
Требования:
— Опыт коммерческой работы в DevOps или SRE от 5-ти лет.
— Реальный опыт проектирования инфраструктуры с нуля, а не только поддержка существующей.
— Опыт работы с Docker Swarm в продакшне.
— Уверенное знание Kubernetes в продакшне.
— Опыт настройки GitLab CI/CD с раннерами и пайплайнами.
— Понимание сетевой модели и проксирования через Nginx.
— Опыт эксплуатации Percona XtraDB Cluster/Galera в продакшне (кворум и split-brain, SST/IST, bootstrap кластера после падения, бэкапы через Percona XtraBackup).
— Опыт работы с Zabbix.
— Опыт с отечественными облачными провайдерами (Yandex Cloud).
— Знание IaC-инструментов (Terraform, Ansible).
Условия:
— Удаленная работа или возможность работать как в офисе клиента, так и в офисе SkillStaff в центре Москвы на Воздвиженке.
— Белая зарплата и удобный график работы.
— Возможность выбора проектов для профессионального роста.
— Обмен опытом и получение знаний через участие в разных проектах и совместную работу с коллегами.
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.
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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.
Cloud Platform Engineer
An overview of this role
As a Cloud Platform Engineer on the Runway team, you'll help design, build, and maintain the infrastructure and developer tooling that powers our engineering organization. You'll advance our Kubernetes-based platform, mature our GitOps practices, and expand infrastructure as code adoption across the business. This hands-on role brings together infrastructure, automation, and developer experience, helping application teams deploy and operate their services.
What you’ll do
Operate and improve production Kubernetes clusters across cloud environments, managing upgrades, scaling, and reliability throughout the cluster lifecycle.
Own and extend Argo CD-based GitOps workflows, maintaining ApplicationSets, managing sync policies, and enforcing deployment standards across environments.
Write, review, and maintain reusable Terraform modules, with clear practices for state management and drift detection.
Monitor platform health, respond to incidents, conduct post-mortems, and improve availability, performance, and observability.
Collaborate with application teams to onboard services, and create documentation, runbooks, and self-service tooling that improves developer productivity.
Implement role-based access control, network policies, and secrets management to meet infrastructure security and compliance requirements.
Integrate platform capabilities with continuous integration and continuous delivery (CI/CD) pipelines to support end-to-end delivery workflows.
Take part in on-call or operational support where your team’s ownership model requires it.
What you’ll bring
Experience operating Kubernetes in production and working with at least one major cloud provider: Amazon Web Services, Google Cloud, or Microsoft Azure.
Experience with Argo CD or comparable GitOps tooling, such as Flux.
Proficiency in Terraform for cloud infrastructure provisioning, including remote state, workspaces, and module design.
Ability to write scripts and automation in Python, Bash, or Go.
Familiarity with Helm for Kubernetes package management.
Understanding of networking fundamentals, including the Domain Name System (DNS), load balancing, ingress, and service mesh concepts.
Clear written and verbal communication, with the ability to document systems and collaborate across teams.
Optional: experience with managed, multi-cluster, or multi-region Kubernetes, service meshes, policy as code, observability, or Kubernetes-native infrastructure as code; open source or platform tooling contributions; or relevant certifications.
About the team
The Runway team builds and maintains infrastructure and developer tooling for GitLab's engineering organization. Its work centers on a Kubernetes-based platform, GitOps delivery practices, and infrastructure as code. The team collaborates with application teams to onboard services and improve developer productivity through documentation, runbooks, and self-service tooling.
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
$115,000
—
$194,000 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.
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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
.
Задачи:
— создавать AI-агентов и платформы для них;
— строить MLOps-инфраструктуру;
— работать с данными для ML.
Требования:
— опыт работы в роли MLOps Engineer, Data Engineer или Python ML от 3,5 лет;
— production-опыт с фреймворками MLOps: Kubeflow, MLflow, Airflow для оркестрации, понимание их интеграции в CI/CD пайплайны;
— опыт работы с Docker и Kubernetes (в контексте развертывания моделей как сервисов);
— опыт работы с одним из major cloud-провайдеров (желательно GCP или AWS/Azure с пониманием hybrid-cloud);
— умение работать с большими данными, опыт с Greenplum или аналогичными MPP-системами (Teradata, Exasol);
— знание распределенных вычислений (Spark);
— опыт работы с LangChain/LlamaIndex, FastAPI, знание фреймворков для работы с LLM (Hugging Face, vLLM и т.д.);
— отличные знания Python, SQL на очень высоком уровне для работы с data vault;
— знания Git, GitLab CI/CD.
Условия:
— хорошая зарплата, уровень обсуждается индивидуально, есть доплаты за менторство и профактивности;
— долгосрочные проекты от российских заказчиков, возможность менять направления, прозрачная система Performance Review;
— релокейт между офисами, выбор формата работы (удалённо, офис, гибрид), адаптация для новых сотрудников;
— доступ к корпоративному порталу, митапам, конференциям (и как гость, и как спикер);
— социальный пакет: ДМС со стоматологией, частичная компенсация спорта, бесплатный английский, оплачиваемый отпуск и больничные;
— корпоративная жизнь: тимбилдинги, детские праздники, внутренние мероприятия;
— офисы в Москве, Санкт-Петербурге, Казани, Нижнем Новгороде, Самаре.
Location: Canada
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Customer Experience:
The Customer Experience Team at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.
The role
We are seeking a highly skilled and customer-focused professional to join our team as a
Solutions Architect
specializing in
Cloud infrastructure and MLOps
. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.
You’re welcome to work remotely from
Canada.
Your responsibilities will include:
Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)
We expect you to have:
Bachelor's degree or foreign equivalent in a related field, or an equivalent combination of education and relevant experience
5+ years of customer-facing technical pre-sales experience, with pre-sales as a primary responsibility, and demonstrate ownership of technical discovery, solution architecture, customer presentations, and proof-of-concept delivery for cloud infrastructure or AI platforms, translating customer requirements into solutions and guiding technical buying decisions.
5+ years of experience utilizing Infrastructure as Code (IaC) to automate the deployment, configuration, and management of scalable cloud infrastructure
and network architectures.
5+ years of Kubernetes experience designing, provisioning, and operating clusters, including node management, networking (CNI), storage (CSI), scheduling, scaling, and troubleshooting beyond managed-service abstractions.
5 years of experience developing Python-based solutions for cloud infrastructure automation, systems integration,
and technical problem-solving.
It will be an added bonus if you have:
3+ years of experience with GPU computing for machine learning and artificial intelligence workloads as training and inference.
Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google)
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
On Target Earnings Range
$235k - $300k CAD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Remote - United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Customer experience:
Customer experience at Nebius AI Cloud involves tackling customers’ challenges and directly impacting their success by solving real-world AI and ML problems at massive GPU cloud scale. You’ll not only resolve issues, but play a key role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs such as H200, B200 and GB200, as well as modern ML frameworks, you’ll influence the development of the Nebius AI Cloud and gain experience at the intersection of infrastructure and AI. With minimal bureaucracy, you’ll have the freedom to innovate, take ownership and drive change. Opportunities for growth are abundant in this vibrant and supportive professional community.
The role
We are seeking a highly skilled and customer-focused professional to join our team as a
Solutions Architect
specializing in
Cloud infrastructure and MLOps
. As a Cloud Solutions Architect, you will play a pivotal role in designing and implementing cutting-edge solutions for our clients, leveraging cloud technologies for ML/AI teams and becoming a trusted technical advisor for building their pipelines.
You’re welcome to work remotely from the
United States.
Your responsibilities will include:
Act as a trusted advisor to our clients, providing technical expertise and guidance throughout the engagement. Conduct PoC, workshops, presentations, and training sessions to educate clients on GPU cloud technologies and best practices.
Collaborate with clients to understand their business requirements and develop solution architecture that align with their needs: design and document Infrastructure as code solutions, documentation and technical how-tos in collaboration with support engineers and technical writers.
Help customers to optimize pipeline performance and scalability to ensure efficient utilization of cloud resources and services powered by Nebius AI.
Act as a single point of expertise of customer scenarios for product, technical support, marketing teams.
Assist to Marketing department efforts during events (Hackathons, conferences, workshops, webinars, etc.)
We expect you to have:
Bachelor's degree or foreign equivalent in a related field, or an equivalent combination of education and relevant experience
5+ years of customer-facing technical pre-sales experience, with pre-sales as a primary responsibility, and demonstrate ownership of technical discovery, solution architecture, customer presentations, and proof-of-concept delivery for cloud infrastructure or AI platforms, translating customer requirements into solutions and guiding technical buying decisions.
5+ years of experience utilizing Infrastructure as Code (IaC) to automate the deployment, configuration, and management of scalable cloud infrastructure
and network architectures.
5+ years of Kubernetes experience designing, provisioning, and operating clusters, including node management, networking (CNI), storage (CSI), scheduling, scaling, and troubleshooting beyond managed-service abstractions.
5 years of experience developing Python-based solutions for cloud infrastructure automation, systems integration,
and technical problem-solving.
It will be an added bonus if you have:
3+ years of experience with GPU computing for machine learning and artificial intelligence workloads as training and inference.
Hands-on experience with HPC/ML orchestration frameworks (e.g. Slurm, Kubeflow)
Hands-on experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
Solid understanding of cloud ML tools landscape from industry leaders (NVIDIA, AWS, Azure, Google)
Key Employee Benefits:
#LI-SM2
Health Insurance:
100% company-paid medical, dental, and vision coverage for employees and families.
401(k) Plan:
Up to 4% company match with immediate vesting.
Parental Leave:
20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote Work Reimbursement:
Up to $85/month for mobile and internet.
Disability & Life Insurance:
Company-paid short-term, long-term, and life insurance coverage.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
On Target Earnings Range
$250,000
—
$320,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: India
Position Overview
Our customers are at the forefront of some of the most interesting data in the world, using SingleStore to push the boundaries every day. To do this well, they leverage the expertise of our Support Engineering Team, composed of technical subject matter experts on the frontline of critical customer issues.
This Support Engineering role skews far more towards engineering than typical technical support as you will need to delve into database internals and memory allocators, investigate Linux and host-related configurations, and diagnose SQL query behaviour, all in the name of resolving complex database issues. Our Support Engineers are constantly learning a wide range of customer systems and technical concepts and are thrilled by the new and exciting challenges that they encounter on a regular basis.
To accurately identify the source and solution of an issue, this team will take the time to learn about the customer’s business and systems while helping to improve their fundamental SingleStore and database operational knowledge. This often requires additional research and time spent on learning new technologies and tools outside of SingleStore while also being deeply engaged with multiple departments including development teams, query performance engineering, product management, infrastructure SREs, etc.
Required Hours
The hours required are from 11:30 AM IST - 8:30 PM IST (9 hours) for 5 days
Participate in our on-call rotation that may include weekends and holidays.
Role and Responsibilities
Provide email and live technical support to our enterprise customers, acting as the first line of defense for complex technical issues, bug diagnosis, or resolving critical outages.
Identify and reproduce product issues, perform QA, and submit formal bug reports or feature requests to the appropriate Engineering team.
Collaborate closely with software developers, sales engineers, and technical account managers to keep all teams up to date with current issues a customer may be facing.
Work to streamline and improve various Support and Engineering processes and tools, author new internal run-books or public documentation, and help the team continually improve efficiency and effectiveness.
Ensure customers have a positive support experience during every interaction.
Required Skills and Experience
4+ years of advanced customer-facing technical support experience.
Experience with MySQL or MySQL-like (MariaDB, Aurora, etc) database and SQL Query Optimization.
A solid Kubernetes and sysadmin skill set. Also, comfortable testing software and finding its limits, hands-on with Linux, checking utilization of system I/O, measuring network throughput, and are comfortable navigating large log files.
Experience with a scripting or coding language. Whether it’s Python, Bash, or Go, you should have a go-to solution for quick and dirty problem-solving and be able to navigate through our code base.
Familiarity with distributed systems and AWS/GCP. You understand how organizations deploy and maintain distributed applications and services across multiple machines Bonus points for knowing how to analyze them for performance bottlenecks and remove single points of failure.
Strong written and verbal English communication skills. Have the ability to explain technical concepts to a wide range of end-users.
SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv.
Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.
To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.
SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses.
For candidates residing in California, please see our
California Recruitment Privacy Notice
. For candidates residing in the EEA, UK, and Switzerland, please see our
EEA, UK, and Swiss Recruitment Privacy Notice.
COG00073
Location: United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius is looking for a Principal Product Marketing Manager to set the direction for our enterprise story: the narrative, messaging, and go-to-market strategy that turn Nebius’s full-stack differentiation into pipeline and revenue with mid-market and enterprise buyers.
You’re welcome to work remotely in the United States.
This is a role for a recognized enterprise product marketing leader from B2B cloud or AI infrastructure who has shaped category narratives and led complex go-to-market motions, and can prove it through the messaging they built, the programs they orchestrated, and the revenue outcomes behind them. You understand the AI cloud stack well enough to earn credibility with engineering leaders, and you know what it takes to move a complex enterprise buying committee (CIOs, CTOs, Chief Data/AI Officers, CISOs, VPs of Infrastructure, security and procurement teams) through a 6–18-month cycle. You set the strategy and frameworks that others execute against, and you measure your impact in win rates, pipeline influenced, and field adoption, not assets shipped.
Reporting to the Senior Director, Product Marketing, you will be the senior voice for how Nebius positions itself to the enterprise and a force multiplier for the organization: setting the enterprise go-to-market strategy across product lines, guiding and mentoring other product marketers, and equipping sales, solutions architecture, and partnerships to carry the story into the field. You will work directly with senior leaders across product, engineering, sales, and executive leadership as a trusted strategic partner.
Your responsibilities will include:
Set the enterprise narrative and positioning strategy.
Own the enterprise layer of the Nebius story end to end, from our “ultimate AI cloud” positioning down to persona-specific messaging, and define the frameworks and standards that other product marketers and content teams build on. Translate our differentiators and each layer of the cloud stack (custom GPU servers, AI orchestration and MLOps tooling, Token Factory, and our agentic layer) into credible messaging that resonates with technical and business decision-makers alike.
Lead enterprise go-to-market strategy across products and launches.
Define the enterprise go-to-market plan across the Nebius portfolio, set priorities and sequencing for major launches, and drive alignment across product, sales, solutions architecture, partnerships, and marketing. Make the trade-offs on where to focus and invest, and hold cross-functional teams accountable to shared outcomes.
Design and own the enterprise customer journey.
Own the logic and strategy of the 6–18-month enterprise buying cycle, defining what moves a buyer at each stage from awareness to evaluation, decision, and expansion. Set the plays, content, and touchpoints for each stage and partner with digital/ABX and field marketing leaders to sequence and target them by account, using ABM platforms such as 6sense or Demandbase.
Build the enterprise business case.
Develop the messaging, proof, and business case around what enterprises actually evaluate: total cost of ownership, reliability and SLAs, security and compliance, data sovereignty and residency, migration risk, and vendor lock-in. Equip Nebius to win through security review, procurement, and the CFO’s office, and engage directly with senior executives on strategic deals.
Drive enablement strategy and field adoption.
Set the enablement strategy for sales, solutions, and partner teams, and ensure they can articulate Nebius’s value to every persona on the buying committee: first-call decks, battlecards, discovery guides, ROI/TCO tools, objection handling, and competitive positioning against hyperscalers and neoclouds. Lead enablement programs and measure adoption, win rates, and deals influenced.
Own competitive and category positioning.
Maintain a sharp, evidence-based view of the AI enterprise infrastructure landscape and help shape how the category is defined. Turn market and competitive intelligence into positioning the field can defend and campaigns can lead with, and keep Nebius’s differentiation current as the market moves.
Lead the enterprise content and proof strategy.
Define the enterprise asset strategy and own quality across the library: solution briefs, white papers, reference architectures, case studies, web pages, webinars, and videos. Personally produce the most strategic pieces and set the bar for the rest.
Elevate communications, analyst, and investor narratives.
Shape the enterprise narrative for press moments, site launches, analyst briefings, and investor materials, in close coordination with comms, legal, and executive leadership. Serve as a spokesperson and subject matter expert for the enterprise story in analyst, customer, and industry settings.
Champion the voice of the customer.
Partner with sales and customer marketing to build a pipeline of references, case studies, and proof points, and bring enterprise pain points and wins back into product strategy and messaging.
Mentor and multiply.
Coach and guide other product marketers and cross-functional contributors, establish best practices, messaging methodologies, and workshop frameworks (such as SCIPAB), and raise the quality and consistency of product marketing across the organization.
Contribute strategically at the leadership table.
Bring ideas, challenge assumptions, and help shape how we position Nebius in a fast-moving AI infrastructure market. Act as a trusted partner to product, engineering, sales, and partnerships leaders, with a seat at the table, not just as a content source.
We expect you to have:
8+ years in product marketing, with a strong track record leading enterprise go-to-market in cloud infrastructure or AI infrastructure (ideally the AI cloud market) at a growing, modern company.
Proven ownership of the enterprise segment across the marketing lifecycle, with the ability to speak to win rates, pipeline data, and revenue impact on significant enterprise deals.
Demonstrated experience setting go-to-market strategy and leading cross-functional launches across multiple products or product lines, influencing leaders without direct authority.
Hands-on experience designing and orchestrating multi-stage enterprise customer journeys across long (6–18 month) buying cycles, and running account-based programs on ABM platforms such as 6sense or Demandbase in partnership with digital/ABX teams, with clear, measurable outcomes.
Strong technical understanding of AI/ML workflows and the AI cloud infrastructure stack: GPU platforms and the NVIDIA ecosystem, networking, storage, IaaS, inference, and ML tools (e.g., PyTorch, Ray, Slurm, MLflow, Kubernetes, inference and agentic platforms), with the ability to go deep with engineers and translate up for executives and business buyers.
Demonstrated experience building and running sales and partner enablement at scale, including battlecards, pitch decks, sales playbooks, competitive positioning, and ROI/TCO narratives, and driving measurable adoption across a field organization.
Fluency with the enterprise buying process and its stakeholders (CTO, CIO, VP Infrastructure, IT Ops, Platform Engineering, security, compliance, procurement, and finance) and the concerns that gate a deal: TCO, reliability, security, compliance, sovereignty, and lock-in.
Exceptional writing, presentation, and storytelling skills, including experience running messaging workshops and methodologies such as SCIPAB, and comfort presenting to C-level executives, analysts, and customers.
Experience mentoring or leading product marketers or cross-functional teams, and raising standards across a function.
Strategic thinker who thrives in a fast-paced, cross-functional environment, is comfortable operating with ambiguity and speed, and connects the dots across functions and departments.
Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent practical experience. #LI-LT1
Key employee benefits in the US:
Health insurance:
100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan:
Up to 4% company match with immediate vesting.
Parental leave:
20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement:
Up to $85/month for mobile and internet.
Disability & life insurance
: Company-paid short-term, long-term and life insurance coverage.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$177,800
—
$222,200 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Компания Cloud.ru ищет специалиста DevOps с фокусом на кибербезопасность для работы на удалённой основе полный рабочий день. Кандидат должен иметь уверенный опыт эксплуатации управляемых Kubernetes в продакшене, включая навыки эффективного устранения неполадок. Важным является опыт внедрения и поддержки GitOps с использованием ArgoCD, а также умение строить CI/CD процессы для Kubernetes. Требуется понимание сетевых аспектов Kubernetes и настройка доступа к сервисам через ingress и load balancer. Необходим опыт организации резервного копирования и восстановления данных в Kubernetes. Кроме того, кандидат должен разбираться в вопросах безопасности платформы, включая управление секретами, настройку RBAC и применение принципа наименьших привилегий. Уровень заработной платы обсуждается по итогам собеседования и ориентировочно составляет от 300 000 до 350 000 рублей.
Задачи:
— Разработка ядра системы потоковой обработки событий и принятия решений в реальном времени.
— Совместная работа с ML-специалистами над алгоритмами и прогнозными моделями.
— Обеспечение работы алгоритмов в рамках бюджета задержки.
— Поддержка архитектуры процессоров, включая управление состоянием, гарантии доставки, партиционирование и репликацию.
— Реализация потоковой механики: дедлайны без таймеров, восстановление состояния при рестарте и переезде партиции, повторное проигрывание, идемпотентная выдача команд во внешние системы.
— Проверка качества решений на реальных данных и выкат в продакшен.
Требования:
— Опыт работы на Python от 3 лет.
— Техническое образование обязательно.
— Понимание основ операционных систем, сетей, распределённых систем и потоковой обработки.
— Знание Kafka обязательно.
— Знание модели потоковой обработки.
— Умение обосновать границы сервиса.
— Знание SQL, включая материализованные представления и оконные функции.
— Навыки работы с Docker, Kubernetes на уровне пользователя.
— Опыт работы с GitLab CI.
— Умение работать самостоятельно.
— Активное использование ИИ в разработке.
— Готовность выполнить тестовое задание и пройти техническое интервью.
Условия:
— Возможность работать из любой точки мира (удалённо).
— ИТ аккредитация.
— Программа корпоративных привилегий BestBenifit.
— ДМС со стоматологией.
— Доступ к обучению английскому языку.
— Возможность проходить курсы и тренинги по развитию в сфере специальности.
— Участие в интересных и сложных проектах в области искусственного интеллекта.
Задачи:
— Разработка и поддержка CI/CD пайплайнов (GitLab CI) для автоматизации сборки, тестирования и развертывания приложений.
— Автоматизация инфраструктуры через Infrastructure as Code (Terraform, Ansible).
— Развертывание и сопровождение Kubernetes-кластеров (создание Helm-чартов, настройка Ingress/Traefik).
— Настройка систем мониторинга, логирования и алертинга (Prometheus, Grafana, VictoriaMetrics).
— Обеспечение отказоустойчивости, масштабируемости и безопасности сервисов.
— Оптимизация облачной инфраструктуры и контроль затрат.
— Поддержка production-среды, участие в расследовании инцидентов.
— Взаимодействие с командами разработки для внедрения лучших DevOps-практик.
Требования:
— Опыт работы в DevOps/SRE от 3+ лет.
— Уверенное знание Linux (администрирование, настройка, диагностика) — обязателен опыт с RedOS и/или Astra.
— Практический опыт с контейнеризацией (Docker) и оркестрацией (Kubernetes: Helm, Ingress, Traefik).
— Построение CI/CD (предпочтительно GitLab CI, опыт с Jenkins/GitHub Actions — тоже плюс).
— Infrastructure as Code (Terraform, Ansible).
— Опыт работы с облачными платформами (Yandex Cloud, VK Cloud, AWS).
— Мониторинг и логирование (Prometheus, Grafana, VictoriaMetrics).
— Конфигурирование БД (SQL/NoSQL): Postgres, Redis, Tarantool, Qdrant (хотя бы одна).
— Владение скриптовыми языками (Bash, Python) для автоматизации задач.
— Понимание сетевых протоколов (TCP/IP, HTTP, DNS) и принципов работы ОС.
Будет плюсом:
— Опыт с GitOps (ArgoCD) и управлением конфигурациями.
— Работа с системами хранения секретов (HashiCorp Vault).
— Навыки DevSecOps (интеграция безопасности в CI/CD, SonarQube).
— Использование GenAI-инструментов (Copilot, ChatGPT) для ускорения рутинных задач.
— Опыт построения highload-систем и оптимизации производительности.
Мы ожидаем:
— Глубокое понимание DevOps-практик и CI/CD-подходов.
— Навыки эффективного troubleshooting (способность быстро находить и устранять проблемы).
— Опыт работы с production-системами и понимание ответственности за их стабильность.
— Умение работать в команде, делиться знаниями и принимать конструктивную критику.
— Проактивность и стремление к автоматизации всего, что можно автоматизировать.
Условия
— Официальное трудоустройство в аккредитованной IT-компании (полный соцпакет)
— Полностью удалённый формат работы (на территории РФ)
— 28 календарных дней оплачиваемого отпуска
— Корпоративные бенефиты: компенсация спортивных занятий, скидки у партнёров
— Возможность карьерного роста внутри компании: смены проектов, повышение грейда, участие во внутренних программах развития
Задачи:
— Проектировать и реализовывать критичные компоненты: policy engine, signing orchestration, key lifecycle, recovery flows, approvals, audit trails, multi-tenant wallet/account сервисы
— Строить высоконагруженные multi-tenant SaaS-системы (изоляция тенантов, rate limiting, backpressure и т.д.)
— Работать с distributed systems, reliability patterns, security-by-design
— Активно использовать AI-инструменты (Claude Code, Cursor, Codex) как core-компетенцию
Требования:
— Сильные CS fundamentals (concurrency, distributed systems, consistency и т.д.)
— 7+ лет backend на Go
— Реальный опыт работы с современными AI coding tools + умение критически проверять AI-код
— Опыт построения высоконагруженных multi-tenant SaaS
— Опыт работы в криптоиндустрии (криптобиржи, блокчейн-проекты, Web3)
Будет большим плюсом:
— Опыт в custody/wallets/MPC/HSM/Ledger
— Blockchain (EVM + Bitcoin обязательно, остальное в плюс)
— Регулируемая среда (SOC 2, ISO 27001 и т.д.)
— Kubernetes, SRE-практики
Условия:
— AI-first культуру с бюджетом на инструменты
— Сильную команду (криптографы, security, SRE, Product)
— Оплата в: EUR / USD / криптовалюта
— Полностью удалённый формат работы
Location: San Francisco, CA; Seattle, WA
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
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THE ROLE
Docker is looking for a Senior Software Engineer to build AI-powered developer tools and the platform behind them on our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building tools that make Docker's engineers more productive and the platform that lets teams across Docker prototype, deploy, and scale their own AI developer tools.
As a Senior Engineer you will design, build, and operate:
- AI-Powered Developer Tools. AI agents and tools that accelerate developer productivity, surface observability insights, and automate operational reviews. You will help teams adopt an AI-native way of working and speed up adoption of tools such as Claude Code and Codex. Examples include AI-powered code review and refactoring assistants, automated test generators and local environment setup tools, deployment pipeline diagnostic agents, and agents that simplify on-call work during incidents.
- Self-Service AI Developer Tools Platform. Platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools, using the patterns and standards the team sets.
You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal and Staff engineers, product engineering teams, and platform teams across Docker.
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WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE
You are a strong, hands-on engineer who enjoys building at the intersection of AI, developer experience, and platform engineering. You have built software on top of LLMs and AI agents and have a good sense of what works in practice. You care about the people using your tools, and you can tell a tool developers love from one they put up with. You take a feature from a vague request to production: you ask the right questions about requirements, design it sensibly, ship it iteratively, and operate it afterward. You are comfortable in a fast-moving AI landscape and balance quality with pragmatism. You make the engineers around you better through thoughtful code review and by sharing what you learn.
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RESPONSIBILITIES
BUILDING AND OPERATING AI DEVELOPER TOOLS
- Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation
- Integrate LLM providers, agent orchestration frameworks, and MCP servers into reliable tools, following the team's patterns and standards
- Build systems that help Docker's engineers adopt AI-native development tools
- Build integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems
- Instrument your tools so the team can measure adoption, effectiveness, and developer satisfaction
SELF-SERVICE PLATFORM
- Build and improve platform capabilities, including deployment pipelines (ArgoCD/GitOps), observability integration (Grafana), security controls, and cost management, that help teams ship their own AI tools faster
- Help reduce time-to-production for new products from weeks to days
- Contribute to reliability, security, and performance standards for AI systems, including SLOs, monitoring, and incident response
DESIGN AND DELIVERY
- Take features and services from requirements to production. Ask about scale, users, and constraints before designing, and write down your assumptions
- Write clear design documents for the work you own, and participate in design reviews for the team
- Review code thoroughly and share what you learn with the rest of the team
- Take part in the team's on-call rotation, and help improve alerts, runbooks, and tooling so the next incident is easier
- Follow the AI-assisted engineering practices the team sets: use AI tools critically, validate their output, and stay accountable for what you ship
COLLABORATION AND GROWTH
- Work with the Senior Manager and the team's Principal and Staff engineers to understand priorities and shape your work
- Partner with Infrastructure, Security, and Data teams on integrations and shared standards
- Help newer engineers get up to speed on the team's tools, patterns, and practices
- Keep up with emerging AI/LLM technologies and agent frameworks, and bring useful findings back to the team
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QUALIFICATIONS
REQUIRED
- 6+ years of software engineering experience building and operating production systems
- Hands-on experience building LLM-powered applications, AI agents, or AI-assisted developer tools
- Working knowledge of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows
- Experience building and operating scalable backend services, distributed systems, or developer-facing platforms
- Experience with cloud-native infrastructure, including Kubernetes, CI/CD pipelines, and observability systems
- Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals
- Experience building developer tools, platform systems, or internal tools that other engineers rely on
- Good product judgment: you weigh developer experience and technical trade-offs, and you ask clarifying questions before committing to a design
- Clear written and spoken communication suited to a remote, async-first company
- Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments
- Comfortable working autonomously in a distributed, remote-first team
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
PREFERRED
- Experience with MCP (Model Context Protocol) or similar AI agent integration standards
- Background in developer productivity, DevOps, SRE, or platform engineering
- Contributions to open source AI tools, developer tooling, or platform engineering projects
- Experience with GitOps deployment patterns (ArgoCD) or Grafana-based observability
- Familiarity with security and operational practices for production AI systems
- Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure)
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WHAT TO EXPECT
FIRST 30 DAYS
- Learn Docker's current AI and developer tooling landscape, the team's services, and the architecture decisions made so far
- Meet your teammates, including the Principal and Staff engineers, the Senior Manager, and key stakeholders in product engineering
- Ship a useful production change in your first weeks, using the team's AI-assisted engineering workflow
- Review existing AI tool prototypes and internal experiments to learn what is working and what is not
- Shadow on-call and learn the operational profile of the team's services
FIRST 90 DAYS
- Own a feature or service from design to production with measurable impact, such as part of an AI code review agent, a deployment diagnostic agent, or an on-call assistant
- Write the design document for work you own and take part in team design reviews
- Contribute to the self-service platform's deployment pipeline, observability integration, or security controls
- Take part in the on-call rotation
FIRST YEAR OUTLOOK
- Be a go-to engineer for one or more of the team's AI tools or platform components
- Have shipped multiple production improvements that Docker engineers use every day, with adoption and effectiveness you can point to
- Have helped teams outside AI Developer Tools build and run their own tools on the platform
- Have taken on larger and more ambiguous work as your scope grows, and helped newer engineers do the same
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
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COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $160,900 – $260,700 base
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POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
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PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
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География найма не уточнена
УдалённоRemote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
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