Вакансии

Задачи: — Проектирование архитектур безопасности для облачной инфраструктуры и приложений с применением принципов secure-by-design. — Сотрудничество с командами продукта и архитектуры для внедрения средств контроля безопасности и автоматизации моделирования угроз. — Аудит и проверка реализации мер безопасности в инфраструктурных манифестах и CI/CD пайплайнах. — Контроль безопасности продукта при миграции из дата-центров в публичные облака, такие как AWS. — Консультирование инженерных команд по лучшим практикам безопасности и требованиям нормативного соответствия. Требования: — Возможность релокации из России или Беларуси. — Опыт обеспечения безопасности микросервисов, разработанных на JavaScript и TypeScript. — Владение инструментами CI/CD (GitLab, Jenkins) и Infrastructure-as-Code (Terraform, Helm, CloudFormation). — Практические навыки разработки на Python или Shell. — Глубокое понимание безопасности цепочки поставок, целостности программного обеспечения и безопасной доставки ПО. — Опыт работы с Docker и mesh-технологиями, такими как ISTIO. Будет плюсом: — Опыт проектирования безопасных сервисов на Kubernetes и AWS. — Знание законов о конфиденциальности, таких как GDPR, и отраслевых стандартов PCI, ISO 27001, NIST. — Профессиональные сертификаты в области безопасности (CISSP, CISM, CCSK, CCSP, CEH). Условия: — Медицинская страховка с глобальным покрытием. — 23 рабочих дня отпуска в году плюс оплачиваемый больничный. — Пакет релокации, включающий билеты, проживание в отеле до 2 недель и визовую поддержку для сотрудника и семьи. — Возможности профессионального развития и изучения языков. — Ежегодный пересмотр вознаграждения и регулярные тимбилдинги.

Location: United Kingdom (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: We’re looking for a Senior Solutions Architect (Professional Services) to join Grafana Labs’ world-class Customer Experience team. This is a highly hands-on role for technically skilled professionals who thrive on helping customers solve complex problems, accelerate adoption, and drive real business outcomes with Grafana at the center. As a Solutions Architect, you’ll be a trusted technical partner —not a quota-carrying seller, but a customer-first advocate who leads with authenticity and insight. You’ll guide organizations through onboarding, implementation, and expansion by offering white-glove support, best practices, and proven strategies gathered from across our customer base. You’ll operate with one foot in the code and the other in the customer’s world. Whether it’s understanding container orchestration in Kubernetes, fine-tuning Prometheus queries, or clarifying the nuances between logs, metrics, and traces—you’ll bring clarity and confidence to complex technical landscapes. You know the difference between "pets and cattle" and why that matters for scalable observability. You’ll deliver high-impact training, jumpstart engagements, and offer tailored technical consulting to help customers succeed. As an embedded partner during critical phases, you’ll provide roadmap assurance, guide project execution, and ensure Grafana's capabilities align with the customer’s architecture, goals, and constraints. Along the way, you’ll identify recurring issues, monitor support needs, and advocate for product improvements in close collaboration with internal teams. Success in this role means being a strategic thinker and a command-line problem solver. You’re passionate about OSS, love engaging with customers, and have the instincts to manage timelines, unblock teams, and deliver value at every stage of the engagement. Join us and help elevate the Grafana customer experience through world-class technical delivery and meaningful impact. What You'll Be Doing: Effective in working with customers, including business executives, project managers, and IT development staff. Effective in understanding business needs and distilling the information into business and technical requirements. Comfortable working with complex business and technological requirements and translating into the design of solutions, including data visualization, workflow recommendations, migrations, and enterprise scale architecture. Ability to act as a functional lead and able to demonstrate clear approach to methodology as well as functional capabilities. Leads functional workshops with customers, documents requirements, and designs appropriate solutions. Speed is paramount. This team is nimble and is the fulcrum to accelerate the delivery of the solution for customers. Be a strong advocate for adherence to standards and best practices. Stay current on Grafana Labs, observability, and related technologies. You'll be a key resource for our Sales, Product Management, Engineering, Support, and Professional Services teams as they look to drive innovation and improvements into future product and offering enhancements. If you enjoy working with customers to help them succeed and thrive on working with leading-edge technologies, this is the role for you. What Makes You a Great Fit: Located in the UK 5+ years of experience working on deployment teams, using project management techniques. Direct experience with o11y. Best practices for both using and deploying an o11y stack (visualization, alerting, metrics, logs, traces) - preferably with Grafana products (Grafana, Prometheus/Cortex/Enterprise Metrics, Loki/Enterprise Logs, Jaeger/Tempo). A proven track record of successful delivery of customer projects, preferably enterprise o11y implementations for large customers Excellent communication skills to communicate with customers, partners, and internal members. Kubernetes (kubectl, Helm, Tanka preferred). Experience with Cloud Platforms - AWS, GCP, Azure Bonus Points For: Self-starter, adept at picking up new skills and technologies, and eager to break new ground. Vision to help us take our company to the next level. Compensation & Rewards: In the UK , the base compensation range for this role is £103,900 - £124,500. 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: Spain (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: We’re looking for a Senior Solutions Architect (Professional Services) to join Grafana Labs’ world-class Customer Experience team. This is a highly hands-on role for technically skilled professionals who thrive on helping customers solve complex problems, accelerate adoption, and drive real business outcomes with Grafana at the center. As a Solutions Architect, you’ll be a trusted technical partner —not a quota-carrying seller, but a customer-first advocate who leads with authenticity and insight. You’ll guide organizations through onboarding, implementation, and expansion by offering white-glove support, best practices, and proven strategies gathered from across our customer base. You’ll operate with one foot in the code and the other in the customer’s world. Whether it’s understanding container orchestration in Kubernetes, fine-tuning Prometheus queries, or clarifying the nuances between logs, metrics, and traces—you’ll bring clarity and confidence to complex technical landscapes. You know the difference between "pets and cattle" and why that matters for scalable observability. You’ll deliver high-impact training, jumpstart engagements, and offer tailored technical consulting to help customers succeed. As an embedded partner during critical phases, you’ll provide roadmap assurance, guide project execution, and ensure Grafana's capabilities align with the customer’s architecture, goals, and constraints. Along the way, you’ll identify recurring issues, monitor support needs, and advocate for product improvements in close collaboration with internal teams. Success in this role means being a strategic thinker and a command-line problem solver. You’re passionate about OSS, love engaging with customers, and have the instincts to manage timelines, unblock teams, and deliver value at every stage of the engagement. Join us and help elevate the Grafana customer experience through world-class technical delivery and meaningful impact. What You'll Be Doing: Effective in working with customers, including business executives, project managers, and IT development staff. Effective in understanding business needs and distilling the information into business and technical requirements. Comfortable working with complex business and technological requirements and translating into the design of solutions, including data visualization, workflow recommendations, migrations, and enterprise scale architecture. Ability to act as a functional lead and able to demonstrate clear approach to methodology as well as functional capabilities. Leads functional workshops with customers, documents requirements, and designs appropriate solutions. Speed is paramount. This team is nimble and is the fulcrum to accelerate the delivery of the solution for customers. Be a strong advocate for adherence to standards and best practices. Stay current on Grafana Labs, observability, and related technologies. You'll be a key resource for our Sales, Product Management, Engineering, Support, and Professional Services teams as they look to drive innovation and improvements into future product and offering enhancements. If you enjoy working with customers to help them succeed and thrive on working with leading-edge technologies, this is the role for you. What Makes You a Great Fit: Located in Spain 5+ years of experience working on deployment teams, using project management techniques. Direct experience with o11y. Best practices for both using and deploying an o11y stack (visualization, alerting, metrics, logs, traces) - preferably with Grafana products (Grafana, Prometheus/Cortex/Enterprise Metrics, Loki/Enterprise Logs, Jaeger/Tempo). A proven track record of successful delivery of customer projects, preferably enterprise o11y implementations for large customers Excellent communication skills to communicate with customers, partners, and internal members. Kubernetes (kubectl, Helm, Tanka preferred). Experience with Cloud Platforms - AWS, GCP, Azure Bonus Points For: Self-starter, adept at picking up new skills and technologies, and eager to break new ground. Vision to help us take our company to the next level. Compensation & Rewards: In the Spain , the base compensation range for this role is 94,000 - 112,830 EUR. 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: Netherlands (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: We’re looking for a Senior Solutions Architect (Professional Services) to join Grafana Labs’ world-class Customer Experience team. This is a highly hands-on role for technically skilled professionals who thrive on helping customers solve complex problems, accelerate adoption, and drive real business outcomes with Grafana at the center. As a Solutions Architect, you’ll be a trusted technical partner —not a quota-carrying seller, but a customer-first advocate who leads with authenticity and insight. You’ll guide organizations through onboarding, implementation, and expansion by offering white-glove support, best practices, and proven strategies gathered from across our customer base. You’ll operate with one foot in the code and the other in the customer’s world. Whether it’s understanding container orchestration in Kubernetes, fine-tuning Prometheus queries, or clarifying the nuances between logs, metrics, and traces—you’ll bring clarity and confidence to complex technical landscapes. You know the difference between "pets and cattle" and why that matters for scalable observability. You’ll deliver high-impact training, jumpstart engagements, and offer tailored technical consulting to help customers succeed. As an embedded partner during critical phases, you’ll provide roadmap assurance, guide project execution, and ensure Grafana's capabilities align with the customer’s architecture, goals, and constraints. Along the way, you’ll identify recurring issues, monitor support needs, and advocate for product improvements in close collaboration with internal teams. Success in this role means being a strategic thinker and a command-line problem solver. You’re passionate about OSS, love engaging with customers, and have the instincts to manage timelines, unblock teams, and deliver value at every stage of the engagement. Join us and help elevate the Grafana customer experience through world-class technical delivery and meaningful impact. What You'll Be Doing: Effective in working with customers, including business executives, project managers, and IT development staff. Effective in understanding business needs and distilling the information into business and technical requirements. Comfortable working with complex business and technological requirements and translating into the design of solutions, including data visualization, workflow recommendations, migrations, and enterprise scale architecture. Ability to act as a functional lead and able to demonstrate clear approach to methodology as well as functional capabilities. Leads functional workshops with customers, documents requirements, and designs appropriate solutions. Speed is paramount. This team is nimble and is the fulcrum to accelerate the delivery of the solution for customers. Be a strong advocate for adherence to standards and best practices. Stay current on Grafana Labs, observability, and related technologies. You'll be a key resource for our Sales, Product Management, Engineering, Support, and Professional Services teams as they look to drive innovation and improvements into future product and offering enhancements. If you enjoy working with customers to help them succeed and thrive on working with leading-edge technologies, this is the role for you. What Makes You a Great Fit: Located in the Netherlands 5+ years of experience working on deployment teams, using project management techniques. Direct experience with o11y. Best practices for both using and deploying an o11y stack (visualization, alerting, metrics, logs, traces) - preferably with Grafana products (Grafana, Prometheus/Cortex/Enterprise Metrics, Loki/Enterprise Logs, Jaeger/Tempo). A proven track record of successful delivery of customer projects, preferably enterprise o11y implementations for large customers Excellent communication skills to communicate with customers, partners, and internal members. Kubernetes (kubectl, Helm, Tanka preferred). Experience with Cloud Platforms - AWS, GCP, Azure Bonus Points For: Self-starter, adept at picking up new skills and technologies, and eager to break new ground. Vision to help us take our company to the next level. Compensation & Rewards: In the Netherlands , the base compensation range for this role is 109,697 - 131,636 EUR. 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 .

Обязанности: • разработка и сопровождение AI-агентов для автоматизации процессов оценки кредитного риска • интеграция LLM и ML-моделей в агентные пайплайны (оркестрация, tool-calling, memory, RAG) • проектирование агентных архитектур: определение инструментов, стратегий и логики принятия решений • написание технической документации: описание агентов, регламенты, схемы взаимодействия. Требования: • опыт разработки на Python от 3 лет, особенно в контексте написания бизнес-логики или скриптов автоматизации • уверенное и архитектурных паттернов • опыт работы с агентными фреймворками: LangChain, LangGraph, AutoGen, CrewAI или аналоги • понимание ML (train/inference): xgboost, catboost, lightgbm, pytorch — опыт интеграции моделей в продуктовые системы • работа с Python-библиотеками pyspark / pandas / numpy для анализа данных • опыт работы с HTTP(S), RESTful API (интеграция агентов и моделей с внешними сервисами) • опыт работы с Docker; базовые знания Kubernetes и Helm • опыт работы с Git Условия: • комфортный современный офис рядом с м. Кутузовская • график работы- гибрид • ежегодный пересмотр зарплаты, годовая премия • корпоративный спортзал и зоны отдыха • более 400 образовательных программ СберУниверситета для профессионального и карьерного развития • расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа • гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ • бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров • вознаграждение за рекомендацию друзей в команду Сбера.

Задачи: ▫️ Оценивать устаревшие приложения полностью: архитектура, зависимости, инфраструктура, риски — с помощью AI-инструментов анализа ▫️ Определять стратегию миграции для каждого приложения с учётом характеристик, ограничений и бизнес-ценности ▫️ Выполнять полную модернизацию: обновление фреймворков, миграция зависимостей, контейнеризация, настройка CI/CD пайплайна ▫️ Развёртывать на целевых платформах — облачные сервисы или оптимизированные on-prem решения ▫️ Формировать практику модернизации: создавать шаблоны, паттерны и делиться опытом для ускорения следующих миграций ▫️ Сотрудничать с командами, владеющими устаревшими системами Требования: ▫️ Сильные знания Java и Spring (7+ лет) ▫️ Практический опыт модернизации корпоративных приложений с устаревших платформ на современные ▫️ Широкие знания инфраструктуры ▫️ Знания корпоративного middleware и инфраструктуры данных ▫️ Готовность работать с AI-инструментами (Agentic AI, LLM) ▫️ Опыт работы в крупных организациях с большими системами, управлением изменениями и требованиями соответствия ▫️ Отличное владение английским языком (письменно и устно) ▫️ Высшее образование в области компьютерных наук, программной инженерии или смежных технических областях Плюсом будет: ▫️ Опыт с другими JVM или не-JVM backend технологиями (.NET, Python, C++) ▫️ Опыт использования AI/LLM инструментов для анализа кода, миграции или масштабного рефакторинга ▫️ Опыт в финансовом секторе, рынках капитала или финтехе ▫️ Опыт развертывания Kubernetes (EKS, Helm, ArgoCD) ▫️ Знание паттернов миграции в облако (lift-and-shift, strangler fig, blue-green, миграция баз данных) ▫️ Владение корпоративными инструментами ServiceNow, Confluence, Jira Условия: ▫️ Гибкий формат работы: удалёнка из указанных стран или гибрид ▫️ Полное медицинское страхование для сотрудников в Польше и на Кипре ▫️ 50% покрытие медицинского страхования для супругов и детей в Польше и на Кипре ▫️ 24 дня оплачиваемого отпуска ▫️ 10 дней оплачиваемого больничного ▫️ 50% компенсация профессионального обучения, конференций ▫️ Поддержка при релокации в Польшу или на Кипр: билеты, аренда жилья на первый месяц, помощь с визами и разрешениями ▫️ Работа с профессиональной командой и корпоративные мероприятия

Задачи: — Поддержка и улучшение облачной инфраструктуры AWS, включая VPC, EC2, EKS, IAM, Route 53 и S3. — Управление платформами на базе Kubernetes. — Проектирование, внедрение и поддержка инфраструктуры как кода (IaC) с использованием Terraform и Ansible. — Поддержка развертывания сервисов и стандартизации платформы с помощью Helm. — Создание, поддержка и улучшение конвейеров CI/CD с использованием GitLab CI и Argo CD; администрирование локальных установок GitLab. — Поддержка и улучшение мониторинга и наблюдаемости платформы (VictoriaMetrics, VictoriaLogs, Grafana). — Администрирование и поддержка HashiCorp Vault. — Устранение неполадок и поддержка сред на базе Linux, работающих на EC2 и Kubernetes. — Оказание базовой оперативной поддержки для PostgreSQL, MS SQL, Airflow и рабочих нагрузок баз данных, работающих как в AWS RDS, так и в Kubernetes. — Участие во внедрении средств контроля безопасности инфраструктуры и платформы (шифрование, сегментация сети, безопасная связь между сервисами и т. д.). — Разработка внутренних инструментов и решений для автоматизации. — Расследование инцидентов, выявление первопричин и внедрение превентивных мер. Требования: — Опыт работы с Kubernetes, AWS, Terraform. — Знание английского языка на уровне от B2. Условия: — Релокация в Индию, город Гургаон. — Полный релокационный пакет. — Возможность поработать в других странах через год. — Работа в русскоязычной команде. Обзор проектов: — Система принятия решений для риск-менеджеров и разработчиков стратегий по борьбе с мошенничеством, использующая Kogito, Kotlin и Kubernetes. — Платформа автоматизации маркетинга с микросервисами на Python и FastAPI. — Data Lakehouse с Apache Airflow, Apache Spark, MS SQL и технологиями для борьбы с мошенничеством и обеспечения информационной безопасности.

Проект: Vault — крипто-дружественный full-cycle white label продукт на стыке банковских и криптовалютных решений для B2B2C-клиентов, позволяющий бизнесу экономить время и деньги, исключая необходимость работать с множеством поставщиков и получать отдельные лицензии. Задачи: — End-to-end разработка backend-сервисов на Kotlin, включая архитектуру и деплой. — Самостоятельное написание манифестов для Kubernetes и Helm-чартов, управление инфраструктурой. — Использование Kotlin Coroutines и моделей асинхронности для создания высокопроизводительных систем. — Настройка мониторинга, определение ключевых метрик для обеспечения надежности и прозрачности системы. — Проектирование распределенных систем с использованием Kafka, PostgreSQL и Redis в event-driven и cloud-native подходах. — Менторство, участие в код-ревью и развитие инженерной культуры ответственности за результат. Технический стек: — Языки: Kotlin (основной), рассматриваются Senior Java разработчики, готовые перейти на Kotlin. — Технологии: Spring Boot, Kafka, PostgreSQL, Redis. — Инфраструктура: AWS (EKS, Lambda, S3, RDS), Docker, Kubernetes, Helm. Требования: — Опыт разработки на JVM 5+ лет, свободное владение Kotlin или экспертный уровень Java с готовностью перейти на Kotlin. — Понимание, что задача не завершена, пока сервис стабильно работает в продакшене, интерес к профилированию и внутренностям рантайма. — Практический опыт контейнеризации (Docker) и оркестрации (Kubernetes), желание самостоятельно управлять инфраструктурой. — Знание моделей конкурентности, CAP-теоремы, ACID, SOLID и паттернов проектирования распределенных систем. — Опыт оптимизации PostgreSQL (индексы, планы запросов) и понимание стратегий кэширования в Redis. — Высокая степень ответственности, готовность разбираться в причинах сбоев и настраивать алерты. Условия: — Конкурентная оплата с выплатами в криптовалюте. — Полностью удалённая работа. — Гибкий график, акцент на качестве выполнения задач, а не на количестве отработанных часов.

Location: Canada; United States 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 DHI Content team builds and maintains Docker Hardened Images: a catalogue of security-hardened system packages, container images and Helm charts designed to be minimal, up to date and safe to use in security-conscious and regulated environments. This is a supply-chain and open-source maintainer role rather than a conventional backend engineering role. You will work across upstream OSS projects, package and image definitions, Helm charts, Kubernetes, integration tests, vulnerability remediation and the controls that prove content is ready to publish. The work is broad by design: customers should be able to select hardened packages and images and, where relevant, deploy them through hardened charts without the pieces drifting apart. We are moving DHI content production towards a machine-first factory. Routine work should begin with a machine-produced change and pass through automated build, test, policy and review controls. Engineers add the most value by handling difficult ecosystems, making security judgements, improving standards and turning repeated human corrections into better tooling. You will use AI-assisted engineering extensively, but remain accountable for the evidence and quality behind every result. As a Senior Supply Chain Security Engineer, you will own substantial content and improvement work from upstream discovery through release and ongoing maintenance. You will be expected to close the loop on customer and security outcomes, not only submit individual definition changes. SUCCESS IN THIS ROLE LOOKS LIKE You will succeed by becoming a trusted end-to-end owner for hardened content. Within your first year, you should have delivered complex new or updated DHI content across packages, images and Helm charts, improved the factory or its quality gates, reduced recurring manual work and raised the capability of the engineers around you. RESPONSIBILITIES - Author and maintain definitions for hardened system packages and container images, including build steps, upstream tracking, multi-architecture support and reproducibility controls. - Adapt and maintain upstream Helm charts so they work correctly with DHI images under non-root, restricted and production-shaped Kubernetes security constraints. - Track upstream releases, semver patterns, monorepos, dependency chains and breaking changes, then make pragmatic decisions about when to update, patch, pin or deviate. - Triage and remediate vulnerabilities across OS packages, application dependencies, images and charts, including VEX and no-upstream-fix cases that require explicit security judgement. - Write and improve Go-based integration tests, validators and policy checks that prove packages, images and charts behave correctly in real environments. - Review human-authored and machine-authored pull requests against DHI standards, distinguish blocking issues from advice and give contributors a clear path forward. - Improve the DHI Factory by converting repeated work, review corrections and escaped defects into automation, tests, validators and reusable authoring patterns. - Help classify work into deterministic, specialist and judgement paths so people spend time where their expertise changes the outcome. - Partner with Product, Security, Support and customer-facing teams to turn demand and incidents into prioritised content and durable improvements. - Engage constructively with upstream maintainers when hardened deployment requirements expose issues or useful improvements. - Participate in the team's paid on-call rotation and drive learning from customer escalations, failed builds and content defects. - Communicate decisions, risks and progress clearly in a remote, async-first environment. QUALIFICATIONS REQUIRED - Strong experience with containers, Linux and Kubernetes in production or production-shaped environments. - Practical experience reading, adapting or maintaining Helm charts and diagnosing how chart templates, values and workload security settings affect deployment behaviour. - Experience maintaining software you did not originate, such as Linux packages, container images, open-source integrations, charts or a comparable downstream distribution. - Strong YAML and configuration-review skills, including care for conventions, consistency and downstream impact across a large catalogue. - Working knowledge of container and Kubernetes security, including non-root execution, UID and GID, capabilities, filesystem restrictions, image layers and multi-architecture builds. - Practical programming ability in Go or a comparable language, sufficient to write and review integration tests, validators and content automation. - Experience tracking upstream releases and reasoning about semver, breaking changes, dependency graphs and reproducible builds. - A maintainer mindset: you catch drift, improve patterns for the next contributor and consider the effect of a change across many downstream consumers. - Familiarity with GitHub-heavy open-source workflows, including pull requests, review, release tracking and upstream contribution. - Comfort using AI-assisted engineering critically while retaining ownership of security assertions, test evidence and release quality. - A strong operational mindset and clear written and spoken communication suited to a remote, async-first company. HELPFUL, BUT NOT REQUIRED - Experience as a maintainer for Alpine, Debian, Fedora, Wolfi, Homebrew or another package ecosystem. - Helm chart authorship or meaningful contribution to an upstream chart. - Experience with SBOMs, VEX, SLSA, Sigstore, cosign, provenance or artefact signing. - Experience with apk, deb, rpm, Go modules, Maven or Gradle, npm, pip, Cargo or other dependency ecosystems. - Experience building automation for package, image or chart creation, validation and release. - Experience with FIPS, FedRAMP, PCI or other regulated and security-conscious environments. WHAT TO EXPECT FIRST 30 DAYS - Build context on the DHI catalogue, its package, image and chart definitions, the DHI Factory and the team's definition of done. - Pair across both image and Helm chart work and ship a useful production change. - Learn the build, test, signing, publishing and vulnerability-remediation workflows. - Take part in reviews and an incident, escalation or failed-build learning session. FIRST 90 DAYS - Own a complex image and chart addition or update from upstream analysis through release. - Resolve a meaningful CVE, dependency or compatibility problem with clear evidence and customer impact in mind. - Improve at least one factory control, integration test, validator or reusable content pattern. - Review across artefact types and help another engineer take on a broader piece of work. ONE YEAR OUTLOOK (FIRST YEAR) - Be a trusted senior owner across hardened packages, images and Helm charts. - Deliver material catalogue growth or quality improvements without increasing human effort linearly with demand. - Reduce recurring manual work by moving a class of changes into a proven automated path. - Improve DHI's security posture, content availability and release reliability for customers. - Raise review quality and grow the team's ability to work across artefact and dependency ecosystems. Docker considers visa sponsorship on a case-by-case basis based on business needs. Compensation & Equity Canada: CA$210,627 – CA$341,690 + equity United States: $154,600 – $250,800 + equity ______________________________________________________________________ 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: San Francisco; Remote; Toronto; New York; Montreal Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As a Site Reliability Engineer at Baseten, you'll define and codify the gold standards of day 2 operations for our ML infrastructure platform. You'll envision and build robust systems, processes, automations, and observability tooling that keep our platform reliable at scale — and that empower the broader organization to operate confidently. You'll work closely with engineering, forward-deployed and product teams: learning from recurring failure patterns, turning tribal knowledge into automated mitigations, and raising the operational floor for the entire company. EXAMPLE INITIATIVES You'll work on projects like these as part of the SRE team: - Improve Baseten SRE Practices, by instrumenting SLOs and SLIs, improving alerting and observability for all services. - Building AI-assisted tooling for incident triage and response. RESPONSIBILITIES - Own the reliability of Baseten's multi-cloud Kubernetes infrastructure, including incident response, post-mortems, and remediation tracking. - Build and maintain observability infrastructure — metrics, logging, dashboards, and alerting — as code. - Author, validate, and improve runbooks for recurring failure patterns, ensuring they're structured for low-context, safe execution. - Identify high-frequency failure patterns and convert them into automated mitigations or self-healing automations. - Diagnose and resolve runtime issues related to latency, memory behavior, GPU utilization, concurrency, and model lifecycle management. - Define and instrument SLOs and SLIs across customer workloads and internal services. - Navigate ambiguity, make principled tradeoffs, and avoid unnecessary complexity in the systems you build and the processes you define. REQUIREMENTS - Extensive hands-on experience with Kubernetes (multi-cloud experience across EKS, GKE, or similar is a strong plus). - Experience in building and maintaining scalable infrastructure. - Strong foundation in observability tooling: metrics (VictoriaMetrics, Prometheus), logging (Loki, ELK), dashboards (Grafana), and alerting pipelines. Observability-as-code experience is a plus. - Experience with infrastructure-as-code (Terraform, Helm) and GitOps workflows (Flux CD, ArgoCD). - Experience writing and improving runbooks, leading incident response, and doing post-mortem analysis. - Comfort working at the intersection of engineering and operations — you write code, but you also think deeply about process, escalation paths, and operational leverage. - Familiarity with incident management platforms (incident.io http://incident.io or similar) is a plus. - No prior ML experience required, but curiosity about how ML models are deployed and served at scale will serve you well. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Задачи: — Разработка инструментов автоматизации процессов сборки, тестирования, внедрения — Построение пайплайнов разной сложности — Разработка сервисов интеграции с помощью брокеров сообщений и HTTP запросов — Разработка web-сервисов для пользователей — Поддержка созданных и текущих инструментов и сервисов Требования: — Опыт от 3 лет в DevOps / Platform / Tools development — Опыт работы с Kubernetes (деплой, Helm, базовый troubleshooting) — Опыт разработки на Python (коммерческий, не только скрипты) — Опыт написания Jenkins-пайплайнов (Groovy) — Уверенное знание Linux / bash — Опыт с Docker и Git — Понимание работы Nginx — Понимание брокеров сообщений (Kafka будет плюсом) — Готовность участвовать в разработке веб-сервисов (REST API) — Готовность поддерживать созданные инструменты и сервисы Будет плюсом: — Опыт с OpenShift — Опыт с Go или Java — Опыт с ArgoCD / GitOps — Опыт с Istio — Опыт работы с Jenkins Условия: — Полностью удалённый формат работы (только РФ) — Работа в крупном и стабильном финансовом холдинге — Возможность участвовать в развитии и поддержке сложных инфраструктурных решений

О ПРОЕКТЕ Ocean AI развивает сложные высоконагруженные продукты, интегрирующие блокчейн-технологии и искусственный интеллект. Мы ищем инженера для построения надежной платформенной основы, способной выдерживать специфические нагрузки Web3-нод и AI-моделей. ОСНОВНЫЕ ЗАДАЧИ — Развитие и оптимизация облачной инфраструктуры на базе Kubernetes. — Проектирование и поддержка полных циклов CI/CD (от сборки до автоматических откатов). — Обеспечение высокой доступности (HA), масштабирования и глубокой observability систем. — Сопровождение специфической инфраструктуры: Web3 (ноды, RPC, индексеры) и AI (LLM, RAG). — Внедрение и контроль стандартов безопасности (Secrets management, SAST/DAST). ТРЕБОВАНИЯ К КАНДИДАТУ — 6+ лет опыта в эксплуатации высоконагруженных систем. — Глубокие знания Kubernetes, Helm и IaC (Terraform / Ansible). — Опыт работы с современным CI/CD стеком (GitLab, GitHub Actions, ArgoCD). — Владение инструментами Observability (Prometheus, Grafana, логирование и трассировка). — Опыт администрирования PostgreSQL, Redis, Kafka и работы с облаками (AWS/GCP/Azure). — Понимание сетевых протоколов (TCP/IP, DNS, TLS) и системного администрирования Linux. ОБЯЗАТЕЛЬНЫЙ СПЕЦИФИЧЕСКИЙ ОПЫТ — Web3: практическая работа с нодами, ключами и on/off-chain синхронизацией. — AI: опыт вывода LLM/RAG в продакшен, оптимизация latency и стоимости ресурсов. — Security: обеспечение безопасности цепочек поставок и управления секретами. УСЛОВИЯ РАБОТЫ — Полностью удаленный формат из любой точки мира. — Гибкий подход к юридическому оформлению сотрудничества. — Прямое влияние на архитектуру платформы в динамично растущей компании.

Задачи: — Конфигурировать и разворачивать инфраструктурные компоненты — Адаптировать/разрабатывать с нуля автоматизированные пайплайны под актуальные бизнес-задачи (AutoML, LLM, computer vision и пр) — Создавать и поддерживать пользовательские инструменты для работы в едином ML-контуре применения и обучения — Масштабировать разрабатываемые системы и инструменты для управления жизненным циклом моделей машинного обучения Требования: — Опыт DevOps от 3х лет (Docker, Helm, Jenkins/GitLab CI, Python) — Опыт ML/MLOps от 1 года (Airflow, JupyterHub, MLflow, Seldon, CUDA) — Опыт администрирования Kubernetes от 2х лет — Опыт работы с Hadoop, Spark, Kafka, ELK Условия: — Работа в аккредитованной IT компании, имеющей собственные продукты — Формат работы: удаленный по РФ — Предоставляем расширенный ДМС (со стоматологией) — Выдаем необходимую для работы технику (ноутбук) — Возможность воспользоваться реферальной программой: “Приведи товарища” — Участие в Бонусной программе — Помогаем в ипотеке и других пособиях — Предоставляем возможность построить карьеру в рамках ведущих компаний России

Задачи: — Развитие Observability & Reliability: поддержка и развитие стека наблюдаемости (Prometheus, Grafana, Loki + Promtail), поддержание SLO-driven алертинга через Alertmanager, отслеживание производительности и стоимости сервисов. — Поддержка Platform & Infrastructure: управление production Kubernetes кластерами, жизненным циклом контейнеров (Docker), операционные задачи с PostgreSQL, Redis и ClickHouse. — Мониторинг безопасности (опционально): ужесточение Kubernetes (RBAC, NetworkPolicies, TLS/mTLS), мониторинг аномалий, обеспечение соответствия OWASP. — CI/CD & Automation: поддержка CI/CD пайплайнов GitLab, внедрение прогрессивной доставки и безопасных стратегий отката, содействие развитию GitOps практик. Требования: — Опыт работы DevOps или SRE инженером от 3 лет. — Глубокие знания Kubernetes и Docker на production. — Экспертиза в Prometheus, Grafana, Loki и Alertmanager. — Практический опыт с GitLab CI/CD пайплайнами. — Уверенное владение Bash скриптами и автоматизацией. — Понимание управления секретами, TLS/mTLS и secure-by-default операций. — Отличные навыки устранения неполадок и реагирования на инциденты. — Желательно: опыт с NestJS/Node.js или TypeScript, знакомство с GitOps (ArgoCD/Flux), Helm, service mesh (Istio/Linkerd), AWS/GCP/Azure, Python или Go для внутренних инструментов. Условия: — Конкурентная заработная плата. — Бюджет на обучение (CKA/CKAD, сертификации Prometheus). — Полностью удаленная работа, гибкий график с пересечением часовых поясов UTC+1. — MacBook Pro и необходимое оборудование. — Оплачиваемый отпуск и поддержка участия в конференциях (DevOpsDays, KubeCon).

О РОЛИ Ищем инженера для развертывания и оптимизации облачной инфраструктуры на AWS. Основной фокус — внедрение принципов GitOps, обеспечение безопасности и создание отказоустойчивых CI/CD конвейеров для международного B2B продукта. ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ — Infrastructure as Code: Развертывание и обслуживание облачной среды AWS с использованием Terraform. — GitOps: Внедрение методологии GitOps для управления состоянием приложений и инфраструктуры. — CI/CD: Разработка и поддержка пайплайнов для автоматизированной сборки и тестирования. — Automation: Автоматизация рутинных процессов развертывания и администрирования. — Security: Обеспечение и контроль безопасности облачных ресурсов. ЧТО МЫ ЖДЕМ ОТ ВАС — Опыт: От 3 лет в ролях DevOps, SRE или Platform Engineer. — Cloud: Практический опыт работы с сервисами AWS. — Tools: Уверенное владение Terraform, Kubernetes и Helm. — OS & Scripting: Глубокие знания Linux и написание скриптов на Bash. — Networking: Понимание основ TCP/IP, DNS и протоколов HTTP/S. БУДЕТ ПЛЮСОМ — Навыки работы с ArgoCD или Flux. — Опыт с распределенными системами (Kafka, RabbitMQ, Redis Cluster). — Использование инструментов масштабирования (Karpenter / Cluster Autoscaler). — Навыки программирования на Python или Go. ЧТО МЫ ПРЕДЛАГАЕМ — Работа в сильной международной технической команде. — Полная свобода в выборе локации (кроме РФ/РБ). — Прозрачные перспективы карьерного и профессионального роста.

Задачи: — Развертывание, обслуживание и оптимизация облачной инфраструктуры на AWS с помощью Terraform; — Внедрение и соблюдение принципов GitOps для управления инфраструктурой и состоянием приложений; — Обеспечение безопасности инфраструктуры; — Разработка, внедрение и поддержка отказоустойчивых конвейеров CI/CD для сборки, тестирования и развертывания приложений; — Автоматизация рутинных операций и процессов развертывания с помощью современных инструментов; Требования: — 3 года профессионального опыта в качестве DevOps-инженера, SRE-инженера или инженера по платформе; — Практический опыт работы с AWS или другими облачными провайдерами; — Опыт написания и поддержки инфраструктуры как кода (Terraform); — Навыки создания и оптимизации конвейеров CI/CD; — Опыт работы с Kubernetes и Helm; — Глубокое понимание основ сетевых технологий (TCP/IP, DNS, HTTP/S) и облачной безопасности; — Опыт работы с Linux и скриптами на языке bash; Будет плюсом: — Понимание принципов Gitops и навыки работы с такими инструментами как ArgoCD или Flux; — Навыки работы с распределенными системами (Kafka, RabbitMQ, Redis Cluster); — Опыт настройки распределенного логирования и трассировки; — Знание шаблонов и практик SRE; — Опыт работы с языками программирования (Python/Go); — Опыт работы с решениями для масштабирования кластера, такими как Karpenter или Cluster Autoscaler. Условия: — Удалённый формат; — Карьерный рост и развитие в сильной технической команде; — Работа в международной компании.