Задачи:
— Поддержка и развитие CI/CD пайплайнов (GitLab CI - основной, Jenkins)
— Миграция и деплой приложений в Kubernetes
— Контейнеризация приложений, оптимизация образов
— Сборка on-premise продукта, поддержка и развитие инсталлятора
— Дежурство в паре с Senior L2: приём и обработка инцидентов
— Обслуживание стендов разработки и тестирования
— Работа с мониторингом: настройка алертов и дашбордов
— Участие в спринтах команды (проектные задачи от сеньоров)
— Прямое взаимодействие с командами разработки по запросам
Требования:
— Kubernetes: деплой, отладка, базовое администрирование кластеров (понимание networking, storage, обновления)
— CI/CD: опыт написания и поддержки пайплайнов (GitLab CI обязательно, Jenkins - плюс)
— Linux: уверенное администрирование (CentOS/RHEL, Debian, Astra Linux, ALT Linux, RedOS)
— Контейнеризация: Docker, Podman, containerd, понимание работы контейнеров, образов, реестров (docker registry)
— Helm: опыт работы с чартами (использование, модификация, понимание шаблонизации)
— Ansible: опыт написания и поддержки плейбуков
— Мониторинг: Prometheus + Grafana (настройка и использование)
— ИБ: базовые принципы информационной безопасности, понимание устройства и работы средств защиты
— Git: уверенная работа, code review, branching strategies
— Опыт работы от 2 лет в DevOps / SRE / системном администрировании (рассмотрим кандидатов с меньшим опытом при сильных технических навыках)
— Коммуникабельность: прямая работа с разработчиками
Будет плюсом:
— Kubernetes: глубокие знания (сети, хранилища, troubleshooting на уровне etcd/kubelet)
— Helm: написание чартов с нуля
— Terraform: опыт написания модулей (провижининг VM)
— VMware ESXi: базовое понимание виртуализации
— Опыт сборки on-premise продуктов / инсталляторов
— Node.js, Rust: чтение кода, опыт настройки пайплайнов сборки для этих стеков
— npm registry, артифакт-менеджмент
— Опыт работы с on-premise инфраструктурой (не только облака)
— Сетевые технологии (CNI, Load Balancers)
— Сертификации: CKA, CKAD, RHCSA
Условия:
— Работа в удаленном или гибридном формате в комфортабельном офисе класса «А» в двух шагах от ст. м. Римская/Площадь Ильича
— Достойная оплата труда, соответствующая профессиональному уровню и компетенциям
— Статус аккредитованной ИТ-компании со всеми преимуществами
— ДМС со стоматологией и госпитализацией по всей России, страхование от несчастного случая, полис ВЗР для поездок за границу, ветеринарная поддержка
— 100% компенсацию больничного, +10 дополнительных дней в году на отгул по болезни
— Регулярный обмен обратной связью по системе полугодового Performance Review
— Возможности для обучения и профессионального развития: корпоративную библиотеку, менторство, внутренние митапы по обмену опытом, практику публичных выступлений, возможность участвовать в создании контента для профессиональных сообществ
— Программу корпоративных скидок и привилегий
— Развитую корпоративную культуру: открытую коммуникацию, онлайн и офлайн встречи, клубы по интересам, спортивные активности и поддержку инициатив сотрудников.
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.
Задачи:
— проводить функциональное тестирование backend-сервисов и интерфейсов
— составлять и поддерживать тестовую документацию (чек-листы, тест-кейсы, отчёты о дефектах, инструкции)
— готовить тестовые данные для проверок и приёмосдаточных испытаний
— участвовать в подготовке релизов, выполняя регрессионное тестирование
— помогать организовывать и проводить сценарии приёмо-сдаточных испытаний
— работать над обработкой запросов от пользователей, включая первичную диагностику проблем путём анализа базы данных и журналов сервиса.
Требования:
— опыт работы в тестировании от 3 лет
— понимание http, кодов ответов, авторизации
— опыт тестирования api (rest/json) для проверки интеграций и бизнес-логики, микросервисного взаимодействия
— умение тестировать запросы с помощью инструментов postman/insomnia/swagger
— понимание и опыт работы с форматами данных: json, yaml, xml, html
— знание sql, умение написать sql-запрос средней сложности
— понимание ci/cd и участие qa в пайплайнах доставки
— базовый опыт работы с системами сбора и визуализации метрик, работа с логами (prometheus, grafana).
Будет плюсом:
— опыт создания AI-агентов и использования их в работе.
Условия:
— гибридный формат работы (2-3 дня в офисе)
— годовой бонус и ежегодный пересмотр
— расширенный ДМС с первого дня + стоматологию и льготное страхование для семьи
— корпоративный университет Сбера, внутреннюю образовательную платформу, участие в IT-конференциях
— офис на Кутузовской с зонами отдыха и спортзалом
— льготную ипотеку в Сбере, корпоративную пенсионную программу, подписку СберПрайм с возможностью совместного использования на трёх близких, скидки от партнеров и сервисов группы компаний.
ГибридseniorГеография найма не уточнена
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
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:
— Функциональное тестирование новых и существующих фич;
— Проверка синхронизации данных между платформами;
— Опыт тестирования клиент-серверных приложений.
Требования:
— Опыт работы в роли тестировщика от 18 месяцев в проектах по функциональному тестированию ПО;
— Опыт подготовки отчетов по результатам тестирования;
— Опыт работы (базовый) с SQL (составление простых запросов);
— Опыт работы с тест-дизайном;
— Опыт работы с системами ведения и организации тестирования: HP ALM, JIRA и т.д.;
— Практический опыт чтения и редактирования, и анализа ошибок XML/HTML кода (Altova XMLSpy или аналогичные), опыт работы с JSON, работы с неймспейсами, отличия атрибута от элемента, CDATA;
— Практический опыт использования снифферов и прокси (Charles, Fiddler);
— Практический опыт тестирования UI/UX с использованием Devtools;
— Опыт работы в инструментах TMS: тест-дизайн, создание тестового цикла и предоставление итогов тестирования (желательно Zephyr Scale, TestIT), анализ граничных значений и эквивалентное разделение, и причина-следствие;
— Практический опыт в анализе логов (Kibana, Grafana, Open Shift);
— Опыт использования Charles proxy, Fiddler или аналогов;
— Практический опыт интеграционного тестирования программного обеспечения и использования инструментов API тестирования (SoapUI, rfhutil, MQ, Fiddler, Postman, Insomnia, Jmeter);
— Способность отправить простой запрос средствами cURL, или составить сложный запрос cURL с помощью AI по спецификации API;
— Опыт использования агентского AI (Claude Code, Qwen Coder, Cursor и т.п.) для анализа логов, составления скриптов и т.д.;
— Важно знание целевых ОС -- Windows, Linux (Debian-based) на уровне основных команд терминала;
— Для тестировщика важно иметь опыт работы на Linux;
— Необходимы базовые знания HTTP, чтобы с помощью ИИ составить запрос к сервису, выполняемый, например, с помощью curl;
— Понимание принципов PKI, сертификатов, смарт-карт/TPM — будет плюсом;
— Опыт тестирования Windows-приложений.
Условия:
— Белая зарплата, трудоустройство по ТК РФ;
— 31 день оплачиваемого отпуска в год;
— Индивидуальный план развития для каждого сотрудника;
— Активная корпоративная культура с Online и Offline мероприятиями;
— Добровольный ДМС (50% оплата от компании);
— Корпоративные внутренние курсы: автоматизация тестирования на Java, нагрузочное тестирование;
— Частичная компенсация пройденных курсов на различных платформах;
— Добровольная международная сертификация ISTQB с компенсацией от компании;
— Корпоративные занятия английским языком;
— Оборудование от компании;
— Реферальная программа "Приведи друга";
— Дружный коллектив, лояльное руководство.
ГибридВсегда находимся в поиске –– идеальных решений, лучших методик и профессионалов, которые умеют стратегически мыслить и идти к общей цели
Location: Remote; USA (Remote); Canada (Remote)
Workplace: Remote
WHO WE ARE
Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.
Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place!
YOUR TEAM AND ROLE
We're looking for a Senior Manager Strategic Finance to help lead DuckDuckGo's FP&A processes and strategic finance initiatives. You'll partner with cross-functional leadership on key decisions and evaluate the scale and profitability of new products, M&A and other strategic investments.
You'll build financial models for scenarios such as product expansion, search monetization, marketing ROI, and potential acquisitions. You'll review and summarize financial results and play a key role in quarterly forecasts (P&L, Balance Sheet, Cash Flow) and annual and long-term planning. You'll also own recurring deliverables, including forecast variance, user metrics, P&L and headcount analyses. You'll help scale the team's processes, using AI tools like Claude and BI tools like Tableau and Grafana to make workflows more efficient.
We're a collaborative, transparent, self-motivated team. If our core values (build trust, question assumptions, and validate direction) resonate with you, you'll fit right in!
ABOUT YOU
- 8+ years in strategic finance (FP&A, corporate development, investment banking, or consulting).
- Advanced Excel and financial modeling, including three-statement forecasts.
- Track record of owning complex, ambiguous analysis end to end and tying it to clear metrics.
- Experience building working relationships with business partners and collaborating toward company objectives.
- An instinct for automating recurring analysis, including with AI tools.
- Clear, concise writing for senior leadership in a remote, async environment.
- Dashboard experience: Tableau, Grafana, and Sage Intacct are a plus.
- Sales finance, GTM, corporate finance, or M&A a plus.
- U.S. GAAP accounting and reporting knowledge.
- North America based.
- Ad-based/subscription, technology, or public company experience a plus.
COMPENSATION
Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation, plus stock options:
- United States: $190,500 to $214,767 USD
- Canada: CA$253,500 to $284,417 CAD
Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.
Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.
HIRING PROCESS
Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire.
DIVERSITY, EQUITY AND INCLUSION
DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request.
PLEASE NOTE THAT:
- You’ll be required to attend meetings on camera via video conferencing
- Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend.
- While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.
- A successful candidate must pass a background check as a condition of joining the team.
- By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.
Disclosure Statement: Use of AI in Hiring Process
As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process.
Key Principles:
- Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-September-30-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes.
- Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors.
- Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us.
By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!
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
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.
_______________________________________________________________________
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.
_______________________________________________________________________
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.
_______________________________________________________________________
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
_______________________________________________________________________
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)
_______________________________________________________________________
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.
_______________________________________________________________________
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
______________________________________________________________________
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.
______________________________________________________________________
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
Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico
About Backblaze
Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we're helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands.
Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud—managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals.
What You’ll Do
First Line of Defense:
Act as the primary point of contact for customer-affecting technical issues and lead real-time incident resolution.
Incident Management:
Adhere to incident management protocols and drive post-mortems to capture process improvements and root-cause analyses.
Monitoring & Alerting:
Monitor and respond to Zabbix, Grafana and Opensearch alerts—taking direct remediation steps or managing seamless escalations.
Infrastructure & Pod Health:
Ensure the health and reliability of storage pods across all sites (defining and refining monitoring alert definitions and completing daily tasks relating to hardware replacement diagnosis, system troubleshooting and executing needed configuration changes via Ansible and a Git repository framework).
Data Center Tech Support:
Serve as an escalation point for Data Center Technicians regarding advanced pod troubleshooting, deployment queries, migration issues, and Ansible playbooks.
Migrations & Provisioning:
Manage pre-deployment configuration and testing for Vault systems, initiate Vault migrations, and perform health checks on migration pods.
Code Deployments: Use Jenkins to deploy code updates across all our environments.
Network & Operations:
Identify and escalate network anomalies, document network IP assignments for upcoming deployments, and track server farm releases/updates.
Automation & Process:
Identify opportunities to automate daily operational tasks and document workflow procedures.
On-Call & Flexibility:
Participate in an on-call rotation shift, with flexibility to work outside standard business hours (including weekends, evenings, or holidays) as operational needs arise.
The Right Fit
Experience:
2–4 years of hands-on experience in Systems Administration, Linux Operations, or SRE environments.
Technical Fundamentals:
Strong foundational understanding of Linux systems, command-line interfaces, network cabling/topologies, and IP network classifications.
Problem Solving & Automation:
Analytical mindset with a drive to learn, troubleshoot complex hardware/software interactions, and automate repetitive tasks.
Communication:
Excellent cross-functional communication and collaboration skills with both technical and non-technical stakeholders.
Diversity, Equity, & Inclusion
Even if you don’t meet 100% of the qualifications listed above, we still encourage you to apply! Learning, developing, and growing are key parts of our culture.
At Backblaze, diversity, equity, and inclusion are core to our values. We are committed to fostering a workplace where all employees feel a sense of belonging regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.
Backblaze is an Equal Opportunity Employer (EOE) and participates in E-Verify.
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.
_______________________________________________________________________
THE ROLE
Docker is looking for a Staff Software Engineer to set the technical direction for key parts of our AI Developer Tools team. You will work at the intersection of AI, developer experience, and platform engineering, building the AI-powered tools and the platform that let teams across Docker prototype, deploy, and scale their own AI developer tools.
As a Staff Engineer you will own the technical design and delivery for two areas:
- AI-Powered Developer Tools. Design and build 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. Design and build the platform infrastructure that lets product and platform teams across Docker unblock themselves by prototyping, building, and deploying their own AI developer tools. You will set the patterns and standards that let teams experiment, iterate quickly, and graduate successful prototypes into production-ready services.
You will report to the Senior Manager, AI Developer Tools, and work closely with the team's Principal engineers, engineering leadership, product engineering teams, and platform teams across Docker.
_______________________________________________________________________
WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE
You are a hands-on technical leader who works well at the intersection of AI, developer experience, and platform engineering. You have shipped production systems built on LLMs and AI agents, and you can explain what worked and what did not. You think in platforms: you design something once so that several teams can move faster. You have clear opinions about what makes a developer tool good, and sound judgment about when to build, when to integrate, and when not to do either. You are comfortable in a fast-moving AI landscape and balance technical quality with shipping iteratively. Before you design, you ask about scale, users, and constraints rather than assuming them. You lead through influence and mentorship, and the engineers around you get better because you are on the team.
_______________________________________________________________________
RESPONSIBILITIES
TECHNICAL LEADERSHIP AND ARCHITECTURE
- Set technical direction and own the architecture for AI-powered developer tools and the self-service platform within the team's roadmap
- Turn ambiguous problems into clear requirements, plans, and staged decisions. Ask about scale, users, and constraints before designing, and write down your assumptions
- Establish patterns, standards, and best practices for LLM integration, agent development, and production AI systems that the team and partner teams adopt
- Shape platform capabilities including deployment frameworks (ArgoCD/GitOps), observability integration (Grafana), security controls, and operational tooling for AI developer tools
- Design reliable, scalable infrastructure for hosting AI agents and developer tools
- Recommend AI technology choices, LLM provider strategies, and agent orchestration approaches, and make the trade-offs explicit
- Work with the Senior Manager and the team's Principal engineers to align technical decisions with business goals
SYSTEMS DESIGN AND IMPLEMENTATION
- Design, build, and operate production AI agents for developer productivity, including code review assistants, test generators, deployment diagnostics, and incident response automation
- Build self-service platform capabilities that reduce time-to-production for new AI tools from weeks to days
- Build systems that speed up adoption of AI-native development tools (Claude Code, Codex) across Docker's engineering organization
- Set and meet reliability, security, and performance standards for AI systems, including SLOs, monitoring, incident response, and cost management
- Design integrations between AI developer tools and existing developer infrastructure such as CI/CD pipelines, observability platforms, and deployment systems
- Take part in the team's on-call rotation and use what you learn to improve alerts, runbooks, and tooling
STRATEGIC IMPACT AND INNOVATION
- Evaluate emerging AI/LLM technologies, developer tooling trends, and agent frameworks, and recommend what Docker should adopt and what it should not build
- Define how we measure AI tool effectiveness, including adoption, productivity gains, and developer satisfaction
- Improve AI tool performance, cost efficiency, and developer experience through architectural improvements
- Contribute to the technical approach for hardening proven internal tools so other teams across Docker can adopt them
- Lead cross-team technical delivery, surface risks early, and work with Infrastructure, Security, and Data on shared standards
LEADERSHIP AND MENTORSHIP
- Mentor senior engineers on AI/LLM integration patterns, agent development, and platform engineering practices
- Lead design reviews and raise the quality of design and code reviews across the team
- Create reusable patterns, documentation, and architectural decision records (ADRs) that other engineers build on
- Help the team turn good individual AI-assisted engineering practice into shared workflows and controls
- This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed.
_______________________________________________________________________
QUALIFICATIONS
REQUIRED
- 8+ years of software engineering experience, with demonstrated technical leadership on production systems at scale
- Hands-on production experience building LLM-powered applications, AI agents, or AI-assisted developer tools
- Strong understanding of LLM APIs (OpenAI, Anthropic, and others), prompt engineering, agent orchestration frameworks, and practical uses of AI in software development workflows
- Track record of designing and building scalable distributed systems and developer-facing platforms
- Production experience with cloud-native infrastructure, including Kubernetes, GitOps deployment patterns, observability systems, and CI/CD pipelines
- Proficiency in Go (preferred), Rust, Java, or Python, with strong software engineering fundamentals
- Experience designing developer tools, platform systems, or internal tools that other teams rely on
- Track record of clarifying requirements and constraints with stakeholders before committing to a design
- Track record of leading complex initiatives that crossed team boundaries, and of influencing without direct authority
- Strong product and platform judgment: you weigh business outcomes, developer experience, and technical trade-offs
- Clear written and spoken communication suited to a remote, async-first company
- Track record of mentoring other experienced engineers
- Ownership mentality with a bias for action and iterative delivery in ambiguous, fast-moving environments
- 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 evolving an internal platform or tool into a widely adopted, production-grade service
- Knowledge of security, compliance, and operational practices for production AI systems
- Experience with infrastructure-as-code (Terraform, Pulumi) and major cloud platforms (AWS, GCP, Azure)
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
- Build context on Docker's current AI and developer tooling landscape, including existing AI experiments, LLM provider relationships, and architecture decisions to date
- Meet the Senior Manager, the team's Principal engineers, engineering leadership, and key stakeholders in product engineering to understand needs, pain points, and constraints
- Review existing AI tool prototypes and internal experiments to learn what is working and what is not
- Get hands-on with the team's services and ship a useful production change
- Shadow on-call and learn the operational profile of the team's services
- Work with the Senior Manager to agree on initial technical priorities
FIRST 90 DAYS
- Lead the technical framing and delivery plan for one significant problem, from requirements through to production
- Document the architecture, technology choices, and integration patterns for that work, including ADRs
- Ship a production AI developer tool that sets patterns the team can reuse (for example an AI-powered code review agent, a deployment diagnostic agent, or an on-call assistant)
- Contribute to the technical foundations of the self-service platform: deployment pipeline, observability integration, security controls, and cost management
- Lead design reviews for your area of the roadmap and begin mentoring other engineers
- Take part in the on-call rotation
FIRST YEAR OUTLOOK
- Be the trusted technical lead for your area of AI Developer Tools, and a sought-after partner for teams across Docker
- Deliver at least one material outcome that spans multiple teams or systems
- Have multiple production AI tools demonstrating value across Docker's engineering organization
- Help build a self-service platform that lets multiple teams build, deploy, and operate their own AI tools with little friction
- Define and instrument how the team measures AI tool adoption, effectiveness, and developer productivity impact
- Grow other senior engineers into broader ownership, and reduce the number of decisions that depend on a small set of people
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
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: $170,350 – $275,550 base
______________________________________________________________________
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.
______________________________________________________________________
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
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity:
Grafana Labs is seeking a Senior Partner Solutions Engineer to join its high growth startup environment and help scale cloud partnerships, with a dedicated focus on joint go to market activities with Cloud Service Providers (CSP) including Amazon Web Services (AWS) and Google Cloud (GCP). The successful candidate will be instrumental in enabling partner success through education, enablement, direct engagement, support of events, and build content that helps our CSP’s position and demonstrate Grafana capabilities.
What You’ll Be Doing:
Partnering with Channel Sales and Field Sales to convey Grafana’s vision, value, and technical strategy to cloud partners
Leading technical engagement with partners to drive deal progression and close opportunities
Delivering product demos, technical presentations, and hands-on enablement sessions
Develop and deliver training, onboarding, and ongoing education for solutions architects, and technical teams
Represent Grafana Labs through technical presentations, live demos, webinars, conference sessions, and regional partner events
Create reference architectures, demo environments, solution guides, and presentations that explain the value of Grafana Cloud alongside cloud provider services.
Track partner readiness, reuse of technical assets, and progress of joint opportunities, and bring partner insights back to product and GTM teams
Shaping and expanding the reach of Grafana Partner University across multiple partner personas
Collaborating with internal teams to provide product and competitive feedback
Support selling motions like Sell-To, Embedded, and PoweredBy, either directly or jointly with partners
Run high impact workshops and 1:1 training to generate and progress pipeline
Travelling up to 50% to support cloud partner events, workshops, and field activities
What Makes You a Great Fit:
Located: United States (Remote)
6+ years in pre-sales or solution architecture, ideally within the observability space
Strong experience selling SaaS software across the NORAM region
Proven use of MEDDIC or similar qualification frameworks
Excellent communication and interpersonal skills, especially in remote, global teams
Demonstrated ability to operate in a fast-paced, ambiguous, startup environment
Strong judgement, leadership, and problem-solving abilities
Passion for education, enablement, and helping others succeed technically
Bonus Points For:
Experience with CSP’s and a strong understanding of their core infrastructure services.
Experience with cloud marketplaces, co-selling, or joint solution launches.
Solid understanding of observability and cloud native tooling
Background in OSS first companies
Experience with Grafana, Prometheus, and Loki
Hands-on experience deploying and operating Kubernetes
Bachelor’s degree in CS, IT, Math, or related field (or equivalent experience)
Compensation & Rewards:
In the United States, the OTE (On-Target Earnings) compensation range for this role is $204,000 - $244,000
.
Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Serbia; Spain
Social Discovery Group
(SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another.
Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world.
We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world.
We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).
We are looking for
Engineering Manager
.
Your main tasks will be:
Lead a cross-functional team of 7–10 engineers (backend, frontend, QA, AQA)
Own end-to-end feature delivery, from requirements to release
Run the team’s development process: sprint planning, estimation, decomposition, DoR/DoD
Take part in feature design and technical decision-making
Ensure the reliability of the team’s services: monitoring, alerting, incident reviews, postmortems
Partner with the Product Manager on backlog prioritization
We expect from you:
3+ years of commercial development experience (.NET / Java / Python)
1+ year of experience leading a cross-functional team
Understanding of microservice architecture: REST / gRPC, RabbitMQ / Kafka
Observability: logging, metrics, tracing (ELK, Grafana, DataDog or similar)
Agile practices (Scrum / Kanban)
Nice to have:
Understanding of frontend architecture (React) and mobile development (React Native)
Knowledge of QA processes and test automation
What do we offer:
REMOTE OPPORTUNITY
to work full-time;
The
initial pay level
or
pay range
for this role will be shared with candidates during the recruitment process and before the commencement of employment;
Vacation
28 calendar days per year;
7 wellness days per year
(time off) that can be used to deal with household issues, to lie down and recover without taking sick leave;
Bonuses up to $5000
for recommending successful applicants for positions in the company;
50%
payment for professional training, international conferences, and meetings;
Corporate discount for
English lessons;
Health benefits.
According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children);
Workplace organization.
The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years;
Internal gamified gratitude system:
receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc.
Sounds good? Join us now!
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote position. We are seeking candidates in US and Canada.
The Opportunity:
We build
Tempo
, the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack.
2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants).
Over the next year, you will help us:
Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes.
Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction.
Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on.
Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors.
Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations.
What You’ll Be Doing:
As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team.
Deliver significant technical projects.
Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction.
Own major components of Tempo.
Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team.
Build APIs for humans and agents.
Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably.
Contribute to operational excellence.
Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts.
Collaborate with Product and sibling teams.
Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them.
Mentor and support engineers.
Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers.
Participate in on-call
for the services you help build, and contribute to incident response and post-incident learning.
Contribute to open source.
Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
Example problems you could work on
These are the kinds of projects landing in 2026:
Trace aggregation and higher-density APIs:
extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant.
Autoscaling end-to-end:
customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down.
Agent-scale ingestion and query:
guardrails for bursty, high-cardinality, agent-generated workloads.
Query performance:
new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges.
Rollouts and multi-cell operations:
parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise.
Limits and self-service:
drive customer-facing configuration and observability so escalations trend toward zero.
What Makes You a Great Fit:
Technical ownership.
A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow.
Solid systems experience.
Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar.
Strong software craftsmanship.
You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship.
Strong Go, or a path to it.
We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well.
Operational mindset.
You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore.
Customer focus and pragmatism.
You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate.
Collaboration and clear writing.
You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment.
Bonus Points For:
Experience with tracing, OpenTelemetry, or large-scale observability systems.
Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents).
Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads.
Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes.
Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses.
Open-source contribution or maintainership, and comfort engaging a community in the open.
Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab).
Experience in a fully remote, globally distributed team.
How we work
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
In US, the OTE (On-Target Earnings)/Base compensation range for this role is USD $167,143 - $200,572. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote position. We are seeking candidates in US and Canada.
The Opportunity:
We build
Tempo
, the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack.
2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants).
Over the next year, you will help us:
Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes.
Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction.
Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on.
Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors.
Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations.
What You’ll Be Doing:
As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team.
Deliver significant technical projects.
Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction.
Own major components of Tempo.
Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team.
Build APIs for humans and agents.
Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably.
Contribute to operational excellence.
Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts.
Collaborate with Product and sibling teams.
Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them.
Mentor and support engineers.
Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers.
Participate in on-call
for the services you help build, and contribute to incident response and post-incident learning.
Contribute to open source.
Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open.
We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google.
Example problems you could work on
These are the kinds of projects landing in 2026:
Trace aggregation and higher-density APIs:
extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant.
Autoscaling end-to-end:
customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down.
Agent-scale ingestion and query:
guardrails for bursty, high-cardinality, agent-generated workloads.
Query performance:
new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges.
Rollouts and multi-cell operations:
parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise.
Limits and self-service:
drive customer-facing configuration and observability so escalations trend toward zero.
What Makes You a Great Fit:
Technical ownership.
A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow.
Solid systems experience.
Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar.
Strong software craftsmanship.
You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship.
Strong Go, or a path to it.
We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well.
Operational mindset.
You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore.
Customer focus and pragmatism.
You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate.
Collaboration and clear writing.
You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment.
Bonus Points For:
Experience with tracing, OpenTelemetry, or large-scale observability systems.
Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents).
Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads.
Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes.
Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses.
Open-source contribution or maintainership, and comfort engaging a community in the open.
Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab).
Experience in a fully remote, globally distributed team.
How we work
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
In Canada, the OTE (On-Target Earnings)/Base compensation range for this role is CAD $170,247 - $204,297. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Требования:
— Опыт коммерческой разработки на Java от 4 лет.
— Java 11+, Spring Boot, Spring Cloud, Spring Data JPA, Hibernate.
— SQL (PostgreSQL/Oracle), оптимизация запросов.
— Многопоточность, REST API, JWT, Swagger/OpenAPI.
— JUnit 5, Mockito, Git, CI/CD.
— SOLID, Clean Code, паттерны проектирования.
— Узбекский язык - обязательно, английский - желательно.
— Умение проверять банковские продукты и воспроизводить реальные сценарии.
— Будет преимуществом: Docker, Kubernetes.
— Prometheus, Grafana.
— Опыт с высоконагруженными интеграционными сервисами.
— Понимание распределенных систем и TDD.
— Настройка CI/CD (Jenkins, GitLab CI, CircleCI).
Локация: Только для кандидатов с гражданством Узбекистана.
Location: All Cities
Workplace: Remote
Mobile Wave Solutions is a professional services company specializing in software development as a service. We are committed to delivering scalable, high-quality software solutions that meet our clients' evolving needs. With a growing team of over 120 engineers and a mission to empower businesses globally, we provide expert teams to deliver robust solutions and drive innovation.
ROLE OVERVIEW
We're looking for a Site Reliability Engineer to own the health, performance, and delivery of the infrastructure of one of our client.
You'll sit at the intersection of engineering, operations, and quality measuring how their systems actually behave, automating away manual work, and making their path from commit to production fast and dependable.
This is a hands-on role for a seasoned engineer who treats operations as an engineering problem and sets the bar for others. You'll define what "reliable" means for the systems in concrete, measurable terms, establish the practices the team operates by, and use modern tooling, including AI/AIOps, to monitor, alert, and respond intelligently rather than reactively.
As a senior member of the team, you'll also mentor other engineers and help shape our reliability strategy.
KEY RESPONSIBILITIES
- Own the infrastructure. Build, maintain, and scale the systems our product runs on, with reliability and cost-efficiency as first-class concerns
- Measure the non-functional. Define and track SLIs, SLOs, and error budgets for availability, latency, throughput, and scalability. Make system behavior visible and quantifiable to the whole team
- Automate relentlessly. Identify and eliminate toil. Replace manual operational work with code, infrastructure-as-code, and self-healing systems
- Build a seamless delivery process. Design, maintain, and improve CI/CD pipelines so engineers can ship safely and frequently with fast feedback
- Collaborate across functions. Partner closely with software engineers and QA to embed reliability and quality early - through testing strategy, deployment practices, and shared ownership of production
- Apply AI to operations. Use AI/AIOps to automate remediation, surface anomalies, reduce alert noise, and improve the signal quality of monitoring, reporting, and on-call
- Lead incident response. Drive blameless postmortems and turn incidents into systemic improvements
- Set the standard. Define reliability and operational best practices, and mentor engineers across the team to raise the bar
QUALIFICATIONS
- 5+ years of experience in an SRE, DevOps, or Platform Engineering role, with a track record of owning systems end to end
- Strong grasp of reliability engineering fundamentals: SLIs/SLOs, error budgets, and reducing toil
- Hands-on experience designing modernising and operating CI/CD pipelines
- Solid infrastructure-as-code skills (Terraform / Pulumi / CloudFormation)
- Experience with cloud platforms (GCP / AWS / Azure) and container orchestration (Kubernetes / Docker)
- Proficiency in at least one programming/scripting language for automation (Python / Go / Bash)
- Strong observability experience: metrics, logging, tracing, and alerting (NewRelic, Prometheus / Grafana / Datadog / OpenTelemetry)
- Applied experience using AI/AIOps to automate, measure, report, and alert - anomaly detection, intelligent alerting, noise reduction, or automated remediation
- A collaborative mindset and comfort working alongside engineers and QA toward shared reliability goals
- Demonstrated technical leadership—mentoring engineers, driving cross-team initiatives, and influencing engineering practices
YOU WOULD IMPRESS US IF YOU HAVE
- Prior experience working with Google Cloud Run
- Experience introducing AIOps tooling into an existing observability stack
- Background in performance and load testing.
- Familiarity with security and compliance practices (SOC 2 / ISO 27001 / GDPR)
OUR BENEFITS
- Remote Office – Option to work remotely or hybrid
- Parking Space – Free parking available
- Fun Office Space – Game zone and relaxation area
- Health Insurance – Private health insurance, including dental care
- Holidays – 5 extra days after your 1st and 5th year with us
- Personal Development – Company-sponsored training and development
- Employee Referral Programme – Competitive bonus for successful referrals
- Social Events – Celebrating success together
- Family Insurance – Add insurance coverage for a family member
- Multisport Card – Fully covered sports pass
Требования:
— Опыт работы от 4 лет.
— Работа с production-инфраструктурой и AI-сервисами.
— Стек: Linux, Docker, Kubernetes, Terraform, Ansible, Gitlab CI/CD, Bare metal, Prometheus, Grafana, Python, Bash.
— Опыт с AI/ML инфраструктурой, LLM сервисами, деплоем моделей.
— Английский язык для делового общения.
Условия:
— Удалённый формат работы.
Задачи:
— Проектирование и поддержка инфраструктуры проектов (Highload / Enterprise).
— Настройка и оптимизация CI/CD пайплайнов.
— Автоматизация развертывания и управления конфигурациями.
— Обеспечение отказоустойчивости и мониторинга систем.
— Работа в тесной связке с командами разработки и QA.
Требования:
— Опыт работы DevOps/SRE/Infrastructure Engineer от 3-х лет.
— Понимание принципов CI/CD, Immutable Infrastructure, IaC.
— Опыт администрирования Linux-систем.
— Знание сетевых технологий (DNS, HTTP/HTTPS, TCP/IP, балансировка).
— Опыт работы с контейнеризацией.
— Стек технологий (в разных вариациях): Cloud: Yandex Cloud, AWS, Google Cloud или приватные облака.
— Оркестрация: Kubernetes (K8s), Docker Swarm, Nomad.
— CI/CD: GitLab CI, Jenkins, TeamCity, GitHub Actions, ArgoCD.
— IaC: Terraform, Ansible, Pulumi.
— Мониторинг: Prometheus, Grafana, Zabbix, ELK/EFK, VictoriaMetrics.
— Языки: Python, Go, Bash (для автоматизации).
Условия:
— Работа через ИП.
— Удалённая работа или гибрид по желанию.
— В основном заказчики работают по времени МСК.
— Разнообразие задач — от стартапов на AWS до энтерпрайза на Yandex Cloud.
— Оплата обсуждается индивидуально, зависит от уровня и проекта (выплаты стабильные, без задержек).
ГибридmiddleУдаленка: в основном наши заказчики работают по времени МСК Проекты: Разнообразие задач — от стартапов на AWS до энтерпрайза на Yandex Cloud
middleГеография найма не уточнена
УдалённоseniorRemote; USA (Remote); Canada (Remote)
Автоотклики