Вакансии

Компания «М.ТЕХ» — аккредитованная ИТ-компания в группе «М.Видео-Эльдорадо». Команда разрабатывает более 100 инновационных ИТ продуктов на основе микросервисной и облачной инфраструктуры, больших данных, биометрии, ИИ и машинного обучения для улучшения качества жизни сотрудников и покупателей по всей России. Продукт: Платежный шлюз, который работает на стыке внешних провайдеров (банки, платёжные системы) и смежных сервисов компании. Работа включает погружение в документацию и API внешних провайдеров, активное взаимодействие с командами смежных сервисов для обсуждения контрактов, согласования форматов обмена и совместной проработки интеграций. Продукт критичен к качеству кода, важны требования к производительности, безопасности и отказоустойчивости. Задачи: — Проектировать новые сервисы; — Интегрироваться со сторонними сервисами; — Покрывать код тестами, писать техническую документацию; — Взаимодействовать с разработчиками своей и смежных команд, участвовать в Code Review. Требования: — Общий опыт разработки и поддержки микросервисов от 8 лет; — Опыт разработки на Golang от 3 лет; — Понимание паттернов (сага, CQRS) и проблем (транзакции в распределенных системах); — Понимание принципов работы горячего и холодного кэширования; — Опыт работы с брокерами сообщений (Kafka); — Знание принципов observability; — Опыт работы с Prometheus, Grafana, Jaeger, Zap/Slog для логирования. Условия: — Работа с признанными на рынке продуктами, имеющими амбициозные планы развития; — Возможность конструктивного диалога и внедрения своих идей; — Гибкое отношение к рабочему месту: посещение офиса в Инновационном центре Сколково на гибриде, возможность работать удаленно по РФ; — Конкурентная заработная плата; — Скидки и специальные предложения компаний-партнёров; — Подписка М.Комбо с бонусами, бесплатной доставкой, скидками и приоритетной поддержкой; — ДМС со стоматологией.

Задачи: - поддерживать и развивать Kubernetes-платформу и инфраструктурные сервисы; - автоматизировать рутинные операции и сокращать количество ручных процессов; - диагностировать и устранять инциденты на уровне Linux, сети, Kubernetes, CI/CD и приложений; - взаимодействовать с командами разработки по вопросам развертывания, диагностики и сопровождения инфраструктуры; - предлагать и внедрять улучшения в инфраструктуру, шаблоны, стандарты и внутренние DevOps-практики. Требования: - уверенные знания Linux и практический опыт администрирования; - опыт работы с Kubernetes; - опыт построения и сопровождения CI/CD-пайплайнов (GitLab CI или аналогичные инструменты); - навыки автоматизации с использованием Bash, Python, Go или другого языка программирования; - опыт работы с системами мониторинга и наблюдаемости: Prometheus, Grafana, Alertmanager, Loki, ELK, OpenSearch, Zabbix или аналогами; - умение анализировать метрики, логи и алерты для поиска первопричин инцидентов и их устранения; - стремление развивать инфраструктуру, оптимизировать процессы и внедрять современные DevOps-практики.

Location: Remote - US 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. But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. Backblaze is seeking a highly analytical, systems-oriented Sr. Cluster & Systems Capacity Engineer to drive the planning, forecasting, deployment, and optimization of hardware infrastructure across our global cloud storage platform. About the Role: This role ensures that Backblaze’s storage clusters, compute systems, and network infrastructure scale reliably, cost-efficiently, and ahead of demand. You will build and maintain predictive models, ensure consistent supply and demand alignment, and partner cross-functionally to inform strategic investment and deployment decisions. . This is a high-impact role within Cloud Operations, directly contributing to service availability, durability, performance, margin optimization, and long-term platform scalability. Key Responsibilities: Capacity Planning & Forecasting Develop and maintain short, medium, and long-term capacity demand and hardware deployment forecasts across storage, compute, and network domains within the platform Build predictive models that translate business demand signals into infrastructure requirements using historical utilization, growth trends, product sales plans, hardware lifecycle roadmaps, and other key business inputs Partner with Infrastructure, Production, and Network Engineering teams to align capacity plans with system design and scaling initiatives Develop and automate forecasting pipelines, simulation calculators and tools, and capacity dashboards to improve data quality, reduce manual analysis, and provide stakeholders clear visibility into platform usage and cluster health metrics Cluster Performance & Resource Optimization Monitor and analyze cluster and system-level utilization and performance across CPU, memory, IOPS, and network resources Adjust deployment plans and recommended configurations in real-time to maintain adequate headroom and system stability in support of delivering a world-class customer experience Partner with service and platform owners to develop headroom and live buffer policies, optimize hardware BoMs, leverage virtualized orchestration, and reduce product cost Cross-functional Organizational Alignment Work in lockstep with Operations and Finance peers to align capacity plans and hardware requirements with capital budgets, cost targets, and financial outcomes Support strategic optimization initiatives across infrastructure investments, engineering development, and operations processes, contributing to long-term infrastructure strategy and capital planning Lead efforts to evaluate, procure, and provision requests for new or additional hardware, working with Systems and Network Engineering, SRE, NOC, and Data Center Operations teams to identify and deliver optimal solutions Maintain alignment with Product and Sales to support customer onboarding, growth, and demand variability Communicate complex capacity and infrastructure insights clearly to technical and non-technical stakeholders Required Qualifications Bachelor’s degree in Computer Science, Engineering, Mathematics, Data Science, Information Systems, Statistics or a related, technical field (or equivalent experience). 8-10+ years of experience in Site Reliability Engineering, Infrastructure Capacity Planning, Systems/Infrastructure Engineering, Production Engineering, Data Center Operations or similar Cloud Operations role Familiarity and experience working with Cloud Storage infrastructure, particularly highly-available, large-scale distributed systems supporting large amounts of data with high throughput and complex performance requirements Background in capacity modeling, performance analysis, scenario modeling, and/or infrastructure cost optimization, with an ability to quantify ideas within financial frameworks and forecasts. Proficiency in database and data analysis tools (preferably Snowflake, Metabase, Grafana, Python, SQL, Prometheus, Victoria Metrics, and Excel/Google Sheets) Demonstrated deep, creative, and logical thinking complimented by a strong data analysis skillset Excellent communication and documentation skills, with the ability to share knowledge and explain concepts accurately and concisely Desire to work on a highly-autonomous team that cares deeply about quality, cost, and the customer experience Backblaze Perks: Healthcare for family, including dental and vision Competitive compensation and 401K RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook Pro to use for work, plus a generous stipend to personalize your  workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits Culture that supports a healthy work-life balance At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors, including candidate location, skills, depth of work experience, and relevant licenses/credentials, and may vary from the amounts listed below. The expected salary range for this role is $123,000 - $175,000. At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries but further reinforces our commitment to doing the right thing. We are proud to be an Equal Opportunity Employer. To understand more about the data we collect and process as part of your application, please view our Backblaze Employee Privacy Notice.

Location: Germany (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 opportunity and we are looking for candidates from the UK, Sweden, Spain or Germany. About the role: Grafana Cloud runs Mimir, Loki, Tempo and Pyroscope as multi-tenant SaaS databases across AWS, GCP and Azure in regions worldwide. Our highest-SLA customers depend on them to run their businesses. We’re looking for a Staff Software Engineer to keep these systems reliable at scale. The role combines building and operating. You’ll write the software, automation and product changes that make our databases more reliable, including changes to the Mimir, Loki and Tempo codebases where reliability calls for it. You’ll also be on call for our highest-SLA customers and handle the operational work that comes with it. You’ll bring a production mindset to product engineering and engineering rigor to reliability, and you’ll set technical direction across squads. What You’ll Do Build reliability into the product. Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly. Build automation and platform tooling that removes toil and scales our reliability practices across regions and cloud providers. Lead technical design. Author design docs, review others’ designs and PRs, and shape feature design so it’s scalable and operable from day one. Own the SLO framework. Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves. Improve observability and alerting so we find problems before customers do, and so escalations are actionable rather than noisy. Be on call for our highest-SLA customers. Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes. Handle the operational work that comes from on-call. This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation. Multiply the team. Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy. We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!) On-Call Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You’ll take a weekend roughly once every six to eight weeks. What We’re Looking For: 8+ years of software engineering experience, including significant time building and owning distributed systems in production. Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn’t write. Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does. Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet. Hands-on experience designing and implementing SLOs. Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you’ve taken part in blameless incident response and written high-quality post-incident reviews. Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better. Working knowledge of Linux internals, networking and cloud storage. Nice to Have: Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases. Open-source contributions. Customer reliability engineering (CRE) or customer-facing escalation experience. In Germany, the Base compensation range for this role is € 113,000 - €135,601 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *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: Sweden (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 opportunity and we are looking for candidates from the UK, Sweden, Spain or Germany. About the role: Grafana Cloud runs Mimir, Loki, Tempo and Pyroscope as multi-tenant SaaS databases across AWS, GCP and Azure in regions worldwide. Our highest-SLA customers depend on them to run their businesses. We’re looking for a Staff Software Engineer to keep these systems reliable at scale. The role combines building and operating. You’ll write the software, automation and product changes that make our databases more reliable, including changes to the Mimir, Loki and Tempo codebases where reliability calls for it. You’ll also be on call for our highest-SLA customers and handle the operational work that comes with it. You’ll bring a production mindset to product engineering and engineering rigor to reliability, and you’ll set technical direction across squads. What You’ll Do Build reliability into the product. Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly. Build automation and platform tooling that removes toil and scales our reliability practices across regions and cloud providers. Lead technical design. Author design docs, review others’ designs and PRs, and shape feature design so it’s scalable and operable from day one. Own the SLO framework. Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves. Improve observability and alerting so we find problems before customers do, and so escalations are actionable rather than noisy. Be on call for our highest-SLA customers. Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes. Handle the operational work that comes from on-call. This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation. Multiply the team. Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy. We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!) On-Call Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You’ll take a weekend roughly once every six to eight weeks. What We’re Looking For: 8+ years of software engineering experience, including significant time building and owning distributed systems in production. Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn’t write. Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does. Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet. Hands-on experience designing and implementing SLOs. Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you’ve taken part in blameless incident response and written high-quality post-incident reviews. Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better. Working knowledge of Linux internals, networking and cloud storage. Nice to Have: Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases. Open-source contributions. Customer reliability engineering (CRE) or customer-facing escalation experience. In Sweden, the Base compensation range for this role is SEK 922,507 - SEK 1,107,008 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *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. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain or Germany. About the role: Grafana Cloud runs Mimir, Loki, Tempo and Pyroscope as multi-tenant SaaS databases across AWS, GCP and Azure in regions worldwide. Our highest-SLA customers depend on them to run their businesses. We’re looking for a Staff Software Engineer to keep these systems reliable at scale. The role combines building and operating. You’ll write the software, automation and product changes that make our databases more reliable, including changes to the Mimir, Loki and Tempo codebases where reliability calls for it. You’ll also be on call for our highest-SLA customers and handle the operational work that comes with it. You’ll bring a production mindset to product engineering and engineering rigor to reliability, and you’ll set technical direction across squads. What You’ll Do Build reliability into the product. Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly. Build automation and platform tooling that removes toil and scales our reliability practices across regions and cloud providers. Lead technical design. Author design docs, review others’ designs and PRs, and shape feature design so it’s scalable and operable from day one. Own the SLO framework. Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves. Improve observability and alerting so we find problems before customers do, and so escalations are actionable rather than noisy. Be on call for our highest-SLA customers. Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes. Handle the operational work that comes from on-call. This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation. Multiply the team. Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy. We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!) On-Call Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You’ll take a weekend roughly once every six to eight weeks. What We’re Looking For: 8+ years of software engineering experience, including significant time building and owning distributed systems in production. Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn’t write. Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does. Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet. Hands-on experience designing and implementing SLOs. Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you’ve taken part in blameless incident response and written high-quality post-incident reviews. Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better. Working knowledge of Linux internals, networking and cloud storage. Nice to Have: Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases. Open-source contributions. Customer reliability engineering (CRE) or customer-facing escalation experience. In Spain, the Base compensation range for this role is € 96,846 - € 116,215 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *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: 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. This is a remote opportunity and we are looking for candidates from the UK, Sweden, Spain or Germany. About the role: Grafana Cloud runs Mimir, Loki, Tempo and Pyroscope as multi-tenant SaaS databases across AWS, GCP and Azure in regions worldwide. Our highest-SLA customers depend on them to run their businesses. We’re looking for a Staff Software Engineer to keep these systems reliable at scale. The role combines building and operating. You’ll write the software, automation and product changes that make our databases more reliable, including changes to the Mimir, Loki and Tempo codebases where reliability calls for it. You’ll also be on call for our highest-SLA customers and handle the operational work that comes with it. You’ll bring a production mindset to product engineering and engineering rigor to reliability, and you’ll set technical direction across squads. What You’ll Do Build reliability into the product. Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly. Build automation and platform tooling that removes toil and scales our reliability practices across regions and cloud providers. Lead technical design. Author design docs, review others’ designs and PRs, and shape feature design so it’s scalable and operable from day one. Own the SLO framework. Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves. Improve observability and alerting so we find problems before customers do, and so escalations are actionable rather than noisy. Be on call for our highest-SLA customers. Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes. Handle the operational work that comes from on-call. This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation. Multiply the team. Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy. We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!) On-Call Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You’ll take a weekend roughly once every six to eight weeks. What We’re Looking For: 8+ years of software engineering experience, including significant time building and owning distributed systems in production. Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn’t write. Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does. Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet. Hands-on experience designing and implementing SLOs. Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you’ve taken part in blameless incident response and written high-quality post-incident reviews. Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better. Working knowledge of Linux internals, networking and cloud storage. Nice to Have: Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases. Open-source contributions. Customer reliability engineering (CRE) or customer-facing escalation experience. In the UK, the Base compensation range for this role is £ 107,077 - £128,493 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . #LI-Remote #LI-Remote *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 .

Задачи: — Поддержка и усиление AWS инфраструктуры (EC2, ALB/NLB, WAF, IAM, CloudWatch) — Управление и развитие EKS кластеров, обслуживающих Python AI сервисы — Миграция существующих сервисов в Kubernetes с использованием Terraform и Helm — Кодирование инфраструктуры с Terraform и автоматизация на уровне хостов с Ansible — Создание и улучшение CI/CD пайплайнов с GitHub Actions — Ответственность за наблюдаемость: Prometheus, Grafana, алертинг и готовность к дежурствам — Поддержка патчей ОС, сертификатов, правил WAF и общей гигиены инфраструктуры — Взаимодействие с инженерами для внедрения лучших практик и повышения надежности платформы — Создание чистой и поддерживаемой документации и плейбуков по инфраструктуре — Редкая поддержка внерабочих инцидентов Требования: — Опыт управления Linux в продакшене (Ubuntu, Amazon Linux) от 5 лет — Глубокие знания Kubernetes (желательно EKS), Helm и Terraform — Уверенность в запуске и отладке Python приложений в контейнерах — Понимание сетевых технологий, IAM и лучших практик облачной безопасности — Практический опыт работы с Nginx (Ingress и обратный прокси) — Отличные коммуникативные навыки для объяснения сложной инфраструктуры разработчикам Плюсы: — Продвинутые навыки Ansible — Опыт настройки и эксплуатации PostgreSQL или Amazon RDS — Глубокое понимание инструментов наблюдаемости (Prometheus, Grafana, Loki и др.) — Знакомство с PHP в продакшене — Опыт TDD, CI/CD и agile разработки — Опыт SRE-подобной деятельности: построение устойчивости, автоматизация, инструменты инцидентов Условия: — Гибридный онбординг с возможностью удаленной работы и поддержка релокации для кандидата и семьи — Медицинская страховка для кандидата и семьи — Бюджет на профессиональное развитие: конференции, онлайн-курсы и др. — Гибкий пакет льгот — Гибридный формат работы и щедрые отпуска — Привилегии в офисе: бесплатные обеды и перекусы — Спортивные активности, ежегодные выездные мероприятия и тимбилдинги, финансируемые компанией

Задачи: — Распил backend-части на микросервисную архитектуру — Разработка новых бизнес-фич: алерты, отчеты, витрины, интеграции с Jira и BI-системами — Масштабирование пайплайнов в Apache Airflow — Работа в Kubernetes, использование Docker и Helm для деплоя — Автоматизация CI/CD, усиление покрытия тестами и улучшение наблюдаемости (Prometheus + Grafana) Требования: — Уверенное знание Python 3.x, опыт коммерческой разработки от 3 лет — Практический опыт работы с FastAPI (разработка REST API, работа с зависимостями, валидацией, middlewares) — Опыт работы с асинхронным стеком (async/await, aiohttp, asyncpg) — Навыки написания тестов (pytest) и отладки приложений — Умение писать чистый, читаемый и тестируемый код (принципы SOLID, PEP8, code review) — Уверенное владение SQL, опыт работы с PostgreSQL (написание запросов, индексация, оптимизация) — Знание принципов контейнеризации, опыт работы с Docker — Понимание основ Kubernetes: деплой приложений, работа с pod-ами, secrets, configmaps

Location: 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 ROLE Docker seeks a Principal Software Engineer to define the technical vision and architecture for our internal Developer Tools team. This is a rare opportunity to establish how software is designed, built, shipped, and operated at Docker. With the addition of AI we are modernizing our SDLC and building the mechanisms that make the right way the easy way for every engineer. You'll own the technical strategy across four interconnected pillars: - Platform Engineering & Self-Service: Design and build the internal developer platform that empowers teams across Docker to unblock themselves, rapidly scaffolding, prototyping, deploying, and operating their own services and tools. - CI/CD & Build Systems: Define Docker's technical approach to continuous integration, delivery, and build infrastructure. Establish architectural standards for pipeline tooling, GitOps deployment patterns, build substrate, and release engineering. As Principal Software Engineer, you'll partner with engineering leadership across Docker, principal engineers, Security, Infrastructure, and the service teams to author the SDLC tenets that underpin all of this work, and build the mechanisms those tenets run through. Reporting to the Sr Manager of Developer Tools, you'll collaborate closely with engineering leadership across Docker, product engineering teams, platform teams, and ultimately customers as internal tools evolve into product offerings. _______________________________________________________________________ WHAT WOULD MAKE SOMEONE SUCCESSFUL IN THIS ROLE You're a technical leader who excels at the intersection of developer experience, platform engineering, and systems design. You think in platforms and golden paths, building once and enabling dozens of teams to move faster. You have strong opinions on what makes developer tools great: invisible by default, indispensable once adopted, and measurable in the workflows engineers already use. You have deep experience across the breadth of the developer tooling stack, CI/CD, build systems, observability infrastructure, and developer platforms, and working knowledge of LLM integration and AI agent development. You understand the nuances of internal platforms: designing for adoption, not mandate; plugging into existing workflows before standing up new ones; and earning trust through data before expanding scope. You have exceptional judgment on when to build custom solutions versus integrate existing tools, and you're comfortable navigating a rapidly evolving landscape across both AI and developer infrastructure. You balance technical excellence with pragmatism, shipping iteratively while maintaining high quality bars. Most importantly, you lead through influence and mentorship, elevating the entire engineering organization's technical capabilities. _______________________________________________________________________ RESPONSIBILITIES Technical Leadership & Architecture - Define the long-term technical vision and architecture for Docker's developer tooling platform spanning platform engineering, CI/CD, and AI-powered tools - Lead authoring of SDLC tenets in partnership with other principal engineers, Security, and Infrastructure and build the mechanisms those tenets bind to (design gates, code review gates, pipeline standards, visibility) - Establish architectural patterns, technical standards, and best practices across the developer tooling stack - Design highly available, scalable infrastructure for hosting developer tools, agents, and platform services - Drive technical decisions on tooling choices, provider strategies, build/deploy substrate, and agent orchestration frameworks - Partner with Senior Manager and product leadership to align technical architecture with business objectives and productization opportunities Systems Design & Implementation - Architect and build Docker's internal developer platform, the self-service substrate enabling teams to scaffold, deploy, and operate services with minimal friction - Design and implement CI/CD and build infrastructure that supports Docker's SDLC tenets and GitOps deployment patterns - Establish reliability, security, and performance standards across developer tooling including SLOs, monitoring, incident response, and cost management - Design integration points between developer tools and existing infrastructure (CI/CD pipelines, observability platforms, deployment systems) Strategic Impact & Innovation - Evaluate emerging technologies across developer tooling, platform engineering, AI/LLM, and agent frameworks to inform Docker's technical strategy - Define and enforce the golden path, the concrete, left-to-right walkthrough of how Docker builds software, and identify where tooling closes gaps vs. where human process does - Drive technical standards for measuring developer tool effectiveness: adoption metrics, productivity gains, pipeline performance, and developer satisfaction - Lead cross-functional technical discussions influencing company-wide developer tooling architecture - Define technical approach for productizing successful internal developer tools into customer-facing offerings Leadership & Mentorship - Mentor senior and staff engineers on platform engineering, CI/CD patterns, design, and AI/LLM integration - Lead design reviews and technical decision-making across all developer tooling work - Foster culture of technical excellence, experimentation, and rapid prototyping within the Developer Tools team - Serve as primary technical contact and thought leader for developer tooling across Docker's engineering organization - Collaborate with platform teams (Infrastructure, Security, Agentic Platform, Supply Chain Security) to establish shared technical standards and integration patterns - 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 - 10+ years software engineering experience with 3+ years in Staff or Principal Engineer roles - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Proven track record architecting and operating developer-facing platforms, internal tools, or developer productivity systems at scale - Deep expertise in CI/CD systems, build infrastructure, and GitOps deployment patterns - Production experience with cloud-native infrastructure including Kubernetes, observability systems (Prometheus, Grafana, Loki), and deployment tooling - Experience designing self-service platforms, developer portals, or golden path tooling that enable other teams to move faster - Working knowledge of AI/ML technologies and hands-on experience with LLM APIs or AI agent development - Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals - Exceptional product and platform mindset considering developer experience, business outcomes, and technical/security trade-offs - Strong communication skills with ability to influence technical and non-technical stakeholders - Track record of technical mentorship and elevating engineering teams' capabilities - Ownership mentality with bias for action and iterative delivery in ambiguous, fast-moving environments - Comfortable with autonomous work in distributed, remote-first teams across multiple time zones PREFERRED - Experience with MCP (Model Context Protocol) or similar AI agent integration standards - Background in DevOps, SRE, or platform engineering domains - Contributions to open source developer tooling, platform engineering, or observability projects - Experience productizing internal platforms into commercial offerings - Deep knowledge of security, compliance, and operational best practices for production systems - Experience with infrastructure-as-code frameworks (Terraform, Pulumi) and multi-cloud platforms (AWS, GCP, Azure) - Track record driving org-wide adoption of developer tooling and engineering standards _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - Understand Docker's current developer tooling landscape: AI tools, CI/CD state, platform engineering gaps, and the foundational SDLC gap - Meet with engineering leadership, principal engineers, and key technical stakeholders across product engineering, Security, Infrastructure, and Agentic Platform - Conduct deep technical assessment of current developer tooling infrastructure to identify opportunities and constraints across all four pillars - Review existing tools in production and understand what's working, what isn't, and the technical lessons learned - Partner with Senior Manager to define initial technical priorities and 90-day technical roadmap across pillars FIRST 90 DAYS - Define and document technical architecture for the Developer Tools platform across: system design, technology choices, integration patterns, and operational model - Ship first production deliverable, either an extension of existing tooling or a net-new tool with architectural patterns and standards that scale to future work - Establish technical foundations for the self-service platform: deployment pipeline, security controls, and cost management - Lead or contribute to the SDLC tenets working session with principal engineers, Security, and Infrastructure - Define success metrics and instrumentation strategy for measuring developer tool adoption, effectiveness, and productivity impact - Create architectural decision records and best practices guides for teams building on the platform FIRST YEAR OUTLOOK - Establish mature technical architecture for the Developer Tools platform with multiple production tools demonstrating value - Build production-ready self-service platform enabling multiple teams to build, deploy, and operate their own tools with minimal friction - Define and implement technical standards for measuring developer productivity improvement: design quality, commit frequency, PR velocity, deployment reliability, and incident response times - Lead technical strategy for productizing successful internal tools into customer-facing offerings - Position Developer Tools as Docker's technical center of excellence for developer productivity, with regular technical talks, demos, and knowledge sharing - Define multi-year technical roadmap including advanced platform capabilities, expanded AI tooling, and emerging technology adoption 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: $198K – $319K 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: Seattle, WA; San Francisco Bay Area 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 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. As a Staff Software Engineer on the Cloud Sandboxes team, you’ll design and build the core systems that power Docker’s cloud agentic platform. Your work will focus on creating scalable, reliable, and secure infrastructure that enables developers to deploy and manage agentic workloads efficiently and with confidence. If you thrive on solving distributed systems challenges, enjoy working at the intersection of developer experience and cloud infrastructure, and want to help shape the future of Docker’s platform, we’d love to hear from you. _______________________________________________________________________ RESPONSIBILITIES - Design, implement, and operate core services that power Docker’s Cloud Sandboxes platform - Build scalable systems for microVM orchestration, workload scheduling, and lifecycle management - Develop high-performance APIs and control plane components for managing multi-tenant workloads - Ensure system reliability, observability, and performance across Docker’s Cloud Sandbox infrastructure - Collaborate with product, platform, and security teams to deliver customer-focused capabilities - Participate in architectural discussions, code reviews, and design documents - Contribute to automation and CI/CD improvements across the deployment pipeline - Debug and resolve production issues across distributed systems in cloud environments - Take part in on-call rotation for your team; respond to incidents, debug production issues, and drive continuous improvement of system reliability _______________________________________________________________________ QUALIFICATIONS REQUIRED - 10+ years of backend software engineering experience building large-scale cloud or distributed systems - Strong proficiency in Go and/or Java - Deep understanding of container orchestration, Kubernetes, and microservices architecture - Experience designing and operating highly available, secure, and observable production systems - Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and related scalability patterns - Familiarity with CI/CD pipelines, monitoring, and infrastructure-as-code tooling - Excellent problem-solving and debugging skills in distributed environments - Strong communication skills and ability to collaborate across remote, cross-functional teams - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. PREFERRED - Experience contributing to cloud-scale compute platforms or container infrastructure products - Knowledge of service mesh, networking, or policy enforcement systems - Experience with observability stacks (Prometheus, OpenTelemetry, Grafana, etc.) - Familiarity with security best practices for multi-tenant cloud systems - Prior experience in developer infrastructure, cloud platforms, or hyperscale environments 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

Обязанности: • Разработка и поддержка бэкенда приложений. • Написание чистого, эффективного и поддерживаемого кода. • Оптимизация производительности и решение задач по масштабированию. • Работать с базами данных (SQL и NoSQL). • Взаимодействие с командой разработчиков, дизайнерами и менеджерами проектов. Требования: • Опыт работы с Python от 2-х лет. • Опыт работы с реляционными и нереляционными базами данных (PostgreSQL, Redis, MongoDB и др.). • Опыт работы с RESTful API, знание принципов разработки. • Знания основ тестирования (юнит-тесты, интеграционные тесты). • Опыт работы с системами контроля версий (Git). • Опыт работы с Docker. • Умение писать чистый и поддерживаемый код. • Опыт работы в команде, коммуникабельность и способность к самостоятельной работе. Мы предлагаем: • Знание Golang и его фреймворков. • Знание основ CI/CD. • Опыт работы с KeyDB и Scylla. • Опыт работы с Docker Swarm, Prometheus, Grafana, Traefik. • Знание современных инструментов и технологий (Celery, Kubernetes). • Опыт разработки микросервисной архитектуры.

Задачи: — Анализ существующего кода проекта, выявление узких мест и областей, требующих изменений и улучшений; — Реализация на C++ слоя доступа к мета-данным, менеджера распределения данных, вспомогательных сервисов, управления инфраструктурой кластера, S3-API операций; — Написание unit-тестов на разработанные функции; — Участие в код-ревью и совместной отладке; — Документирование архитектурных решений и внутренних API. Требования: — Уверенное владение современным C++ (стандарт не ниже C++17); — Опыт многопоточного и асинхронного программирования; — Понимание протоколов TCP/IP, HTTP/HTTPS; — Опыт работы с сокетами или высокоуровневыми библиотеками (Boost.Asio, libcurl, POCO и т.п.); — Знание принципов построения отказоустойчивых и масштабируемых сервисов, понимание CAP-теоремы; — Опыт работы с репликацией данных; — Опыт работы с MongoDB или Key-Value СУБД, понимание транзакций и репликации; — Знание файловых систем и POSIX, особенности работы с файлами в Linux, понимание семантики NFS (кэширование, блокировки, атомарное переименование); — Инструментарий: Gitlab, CMake, Docker (для локальной отладки), опыт написания unit-тестов. Желательно: — Опыт работы с AWS SDK; — Опыт интеграции с системами мониторинга (Prometheus, Grafana); — Умение читать и анализировать существующий код, проводить рефакторинг; — Опыт использования Kubernetes, Nomad, Docker Compose, Podman. Условия: — Возможность удаленной работы из любой точки РФ; — Продвинутая медицинская страховка (ДМС); — Динамичная и активно развивающаяся компания с минимум бюрократии; — Участие в создании высококлассных продуктов и решении сложных задач; — Профессиональный коллектив и комфортная атмосфера; — Перспективы карьерного роста в компании.

Задачи: — Проектирование и развитие .NET-микросервисов, обрабатывающих тысячи запросов в секунду. — Ответственность за платёжные флоу, оркестрацию, интеграции с Fragment/TON, сложную бизнес-логику. — Самостоятельное принятие решений по архитектуре БД, поиску, кешированию и отказоустойчивости. — Обеспечение идемпотентности, ретраев и обработки сбоев в распределённой системе. — Интеграция с внешними API с корректной работой заголовков, кук и форматов. — Проектирование схем PostgreSQL и оптимизация запросов под высокие нагрузки. — Настройка Elasticsearch для быстрого поиска и аналитики. — Снижение p95/p99, профилирование, внедрение кеширования и лимитирования. — Построение наблюдаемости через Prometheus, Grafana и OpenTelemetry. — Обеспечение безопасности на всех уровнях: от хранения секретов до контроля доступа. Требования: — Опыт разработки на .NET от 5 лет. — Глубокое знание веб-интеграций: HTTP/2, CORS, cookies, multipart/x-www-form-urlencoded. — Опыт с криптографией: Ed25519, SHA-256, бинарные протоколы. — Сильный опыт с PostgreSQL (схемы, индексы, транзакции, миграции EF Core). — Микросервисы и брокеры: gRPC/Protobuf, RabbitMQ/Kafka, Outbox, идемпотентность. — Elasticsearch: индексы, маппинги, DSL, агрегации, синхронизация с БД. — Надёжность под нагрузкой: ретраи, таймауты, circuit-breaker, лимитеры. — Наблюдаемость: Prometheus/Grafana, структурное логирование, OpenTelemetry. — CI/CD и Docker — на практике. — Чистая архитектура, SOLID, модульные/интеграционные тесты, code review. Будет плюсом: — Опыт с TON (TonSDK, Cell/BOC, тон-пруф, Telegram Stars). — Навыки обхода антибот-механик (Cloudflare, заголовки, сессии). — DDD/Event-driven, Saga/оркестраторы, распределённые транзакции. — Антифрод и безопасность платежей, KMS. — Навыки написания бенчмарков и property-based тестов. Формат работы: удаленно Часовой пояс: MSK

Задачи: — Проектирование и реализация новых решений для подключения к рынкам — Разработка и поддержка высоконагруженных, низколатентных приложений на C++ — Поиск возможностей для снижения задержек и улучшения производительности системы — Повышение надежности, стабильности и масштабируемости ключевой инфраструктуры — Поиск и устранение сложных технических проблем и узких мест в производительности — Взаимодействие с командами для внедрения новой функциональности и улучшений платформы Требования: — Опыт коммерческой разработки на современном C++ не менее 3 лет — Опыт создания или поддержки HFT, высоконагруженных и/или низколатентных систем — Хорошее понимание алгоритмов, структур данных и шаблонов проектирования ПО — Знание основ сетевых технологий, включая REST API и WebSockets — Сильные аналитические и проблемно-ориентированные навыки Желательно: — Знание протокола FIX — Опыт работы с AWS, Kubernetes, Grafana, Kibana или Prometheus — Опыт разработки на Python — Знакомство с Kafka О кандидате: — Проактивность и внимательность к деталям — Умение эффективно решать технические задачи — Быстрое освоение новых технологий и концепций — Умение работать в команде и взаимодействовать с разными отделами — Ответственность и коммуникабельность Условия: — Возможность удаленной работы или релокации в Дубай — Работа в технически сложной среде с прямым влиянием на производительность и развитие торговой платформы

Задачи: — Разработка серверных сервисов на Swift, выступающих посредником между банками и Apple Требования: — Опыт работы с Server-Side Swift, включая Swift Package Manager, создание REST/HTTP API на Hummingbird или аналогичных фреймворках — Управление жизненным циклом сервиса, обработка сигналов — Паттерны асинхронности async/await в Swift — Интеграция с Apache Kafka: продюсеры, консьюмеры, consumer groups, управление оффсетами — Работа с PostgreSQL: connection pooling, транзакции, индексирование — Проектирование схем для высоконагруженных сервисов поиска — Стратегии миграции баз данных — Понимание протоколов Private Information Retrieval (PIR) — Криптографические примитивы: хеширование, подписи, валидация токенов — Реализация Privacy Pass или аналогичной токенизированной аутентификации — Практики безопасной обработки данных — Опыт работы с Kubernetes и cloud-native технологиями: сетевые политики, Ingress, Service Mesh (Istio/Linkerd) — Опыт работы с managed Kubernetes (GKE, EKS, AKS, Yandex Cloud K8s) — Контейнеризация с Docker, multi-stage builds, оптимизация образов — CI/CD пайплайны для Swift-проектов (GitLab CI, GitHub Actions, ArgoCD) — Логирование: структурированные логи, сбор в ELK/Loki — Метрики: Prometheus, Grafana, метрики приложения — Трассировка: OpenTelemetry, Jaeger, Zipkin Условия: — Удалённая работа — Полная занятость Требования к опыту: — 5+ лет backend-разработки — 2+ года опыта с server-side Swift — 1+ год опыта с Kafka и PostgreSQL в продакшене — 1+ год эксплуатации сервисов в Kubernetes — Опыт работы с системами, чувствительными к безопасности и приватности — преимущество Будет преимуществом: — Опыт работы с экосистемой Apple (NetworkExtension, CallKit) — Знакомство с гомоморфным шифрованием — Опыт деплоя Swift на Linux в production — Оптимизация производительности для сервисов поиска — Сертификаты CKA/CKAD (Certified Kubernetes Administrator/Developer)

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . This role is fully remote. Reddit has a flexible first workforce. The Site Experience SRE team sits at the intersection of infrastructure, product engineering, and user experience - ensuring that every interaction across web, mobile, APIs, feeds, media delivery, and real time systems is fast, reliable, and resilient. We are looking for a Staff Site Reliability Engineer to lead reliability engineering initiatives for critical user facing systems at internet scale. In this role, you will partner closely with product and infrastructure teams to improve availability, latency, scalability, and operational excellence across Reddit’s most business critical experiences. This is a highly technical leadership role for someone who thrives in large-scale distributed systems, enjoys solving complex reliability challenges, and can lead cross-functional projects to deliver concrete business results across the organization. What you’ll do: Lead Reliability Engineering Drive complex, cross-organizational programs to advance reliability, scalability, and performance for user-facing systems. Own execution from design through launch across API, content delivery, feed generation, search, and real-time experiences. Shape the Future of Reliability Define and drive long-term roadmaps for a domain of ownership within the team, turning ambitious reliability goals into strategic investments that build resilience, unlock scale, and enable product innovation. Build Strategic Partnerships Own and grow cross-functional partnerships across product and infrastructure engineering, aligning teams on shared reliability priorities and shaping the investments that keep Reddit resilient as it scales. Eliminate Systemic Risks Identify systemic risks and reliability bottlenecks across services, dependencies, deployments, and infrastructure. Drive structural improvements that address root causes, eliminate recurring failures, and prevent entire classes of incidents. Shape Automation Strategy Define the team’s approach to automation, identifying new opportunities and reusable patterns that make it easier to automate deployment safety, incident response, remediation workflows, and reliability guardrails Influence Engineering Standards Define and champion best practices around reliability engineering, SLIs/SLOs, capacity management, release engineering, and operational maturity across the company. Elevate the Team Develop engineers at every level through technical leadership, mentorship, and shared learning. Strengthen the team’s engineering judgment, reliability expertise, and ability to deliver with confidence. What We’re Looking For 8+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating best-in-class large scale distributed systems. Expertise leading complex, cross-organizational engineering programs from design through launch. Experience defining technical roadmaps to prioritize broad strategic reliability investment. Proven ability building cross-functional partnerships to align business priorities and facilitate effective technical collaboration. Expertise using and improving observability systems to expose failure modes, accelerate diagnosis, and answer complex questions about system behavior. Expertise troubleshooting complex issues across system, infrastructure, and networking. Strong software engineering fundamentals, sound operational judgment, and effective collaboration practices across teams. Nice to Have Experience with Kubernetes, containers, cloud infrastructure, and modern deployment platforms. Familiarity with technologies such as Prometheus, Grafana, OpenTelemetry, Envoy, Kafka, ClickHouse, Cassandra, Redis, or similar distributed infrastructure technologies. Experience with CDN optimization, edge reliability, traffic engineering, or global infrastructure. Contributions to open source software or participation in technical communities. Experience leading large scale incident response and operational transformation initiatives. Benefits: Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Group Personal Pension Scheme with Employer match Private Medical and Dental Scheme Income Replacement Programs Bike to Work scheme Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $217,000 — $303,900 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Georgian office About Lineate Lineate is a US-based international software development company with over two decades of experience. From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results. We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently. Our expertise falls into three main categories: Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG. Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions. Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines. Our goal is not just to build technology, but to build the future operating model for our clients. Role Summary The Infrastructure Engineer is responsible for the reliability, security, and continuous improvement of Lineate and customer infrastructure across cloud and on-prem environments. The role combines hands-on SRE/DevOps work — automation, observability, incident response — with support engineering for production systems. The engineer is expected to operate independently on most tasks, and drive infrastructure and tooling improvements, including the use of AI agents to automate routine operational work Accountable for • Reliability, availability, and performance of Lineate and customer production systems in accordance with agreed SLOs and support SLAs • Design, automation, and continuous improvement of cloud and on-prem infrastructure • Timely and high-quality response to incidents and escalated support requests • Security, compliance, and cost-efficiency of the infrastructure under the team's ownership • Day-to-day operations of the infrastructure owned by the team Main Responsibilities • Participate in a 24/7 shift schedule • Monitor systems and respond to automated alerts in line with Lineate support SLAs Diagnose and resolve system problems • Operate Kubernetes workloads and Databricks resources by following team playbooks and runbooks • Perform routine system administration on Linux and Windows servers • Respond promptly and professionally to customer inquiries via Slack, email, or Zendesk • Document, categorize, and prioritize incoming support requests • Communicate the status of open requests clearly and regularly to customers • Identify and implement automation opportunities, including AI-agent-driven automation of routine operational tasks (ticket triage, runbook execution, log analysis, knowledge-base maintenance) • Drive incident resolution by coordinating triage, implementing mitigation measures, conducting root cause analysis, and leading post-incident reviews • Maintain and improve runbooks, playbooks, FAQs, and internal knowledge bases • Implement and improve observability: metrics, logs, traces, dashboards, alerting, and SLO tracking • Contribute to CI/CD pipelines and basic infrastructure automation • Follow basic information security practices (IAM, secrets handling, least privilege) • Participate in the improvement of support and infrastructure processes Necessary Qualification s: • Minimum 3 years of hands-on Linux system administration experience (required) • Minimum 2 year of hands-on experience with AWS in a production environment (required) • Working familiarity with Kubernetes — able to operate workloads, read logs, and perform standard actions by following playbooks (deep cluster-design expertise not required) • Working familiarity with AWS Databricks — able to run jobs, manage clusters, and troubleshoot using existing playbooks (deep platform expertise not required) • Practical experience using AI agents / LLM-based tooling (e.g., Claude, ChatGPT, MCP-based agents, Cursor, Copilot) to automate operational, scripting, or support tasks • At least 1 year of Windows system administration experience • Practical scripting skills in at least one of Python, Bash, Go (1+ years of practical use) • Ability to maintain existing pipelines in CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or equivalent • Proficiency with Git and standard version-control workflows • Hands-on experience with Docker and container workflows • Experience managing and maintaining production IT infrastructure • Comfortable working with a broad range of open-source technologies and tools Preferred: • Infrastructure as Code: Terraform (preferred), Ansible, or CloudFormation • Observability stack: Prometheus, Grafana, ELK/Loki, Datadog, CloudWatch, or equivalent—including building dashboards and alerts • Networking fundamentals: TCP/IP, DNS, HTTP(S), TLS, VPN, load balancers, VPC design ,basic firewall and routing • Cloud security: IAM, KMS, secrets management (AWS Secrets Manager, HashiCorp Vault), least-privilege design, audit logging • Database operations: PostgreSQL, MySQL, or Redis — backups, restores, basic tuning, monitoring • Incident management practices: on-call rotations, runbooks, SLI/SLO/SLA, blameless postmortems • Familiarity with data-platform concepts: Spark/PySpark basics, ETL pipelines (in the context of Databricks) • Experience writing and maintaining MCP servers, prompt-based automations, or AI-driven runbooks is a plus Exposure to GCP or Azure in addition to AWS We offer Freedom to Develop - equal opportunity to learn and grow professionally Clear career and professional path, strong performance management system Social Benefits Package Equipment English lesson Gym membership All the advantages of working in an international IT company Flexible vacation time Fun and inclusive in-person and digital events Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business ne ed. Learn more about Lineate at our website: www.lineate.