Вакансии

Задачи: — Строить отказоустойчивую инфраструктуру. — Улучшать CI/CD на GitHub Actions. — Поддерживать Helm-манифесты и инфраструктуру как код (IaC). — Обеспечивать работу VPN, балансировщиков, firewall. — Организовывать мониторинг, восстановление после сбоев и оптимизацию затрат. — Мониторинг инфраструктуры 24×7, решение и эскалация инцидентов. Требования: — Опыт работы DevOps инженером для production-приложений от 2 лет. — Опыт работы с Terraform от 1 года. — Опыт работы с инструментами мониторинга от 1 года. — Знание AWS и GCP, практический опыт построения высокодоступной инфраструктуры на EKS. — Опыт работы с Kubernetes, Docker, GitOps/ArgoCD. — Знание безопасности production и опыт проектирования производительных приложений. — Опыт работы с мониторингом New Relic, Prometheus и Grafana. — Опыт работы в быстрорастущем стартапе и наличие сертификатов AWS будут преимуществом. Условия: — Удалённая работа на полную занятость. — География работы указана как Egypt / Remote / Uzbekistan, без уточнения стран для варианта Remote.

Location: Espoo Workplace: Hybrid Software Engineer - SAR Processing Platform Role highlights: Job title: Software Engineer Location: Espoo, Finland Department: SAR Processing Platform Reports to: Team Lead SAR Processing Platform Employment type: Permanent Workplace model: Hybrid - 3 days in the office Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As a Software Engineer, you’ll help build and run the platform that every ICEYE image passes through before a customer sees it. The SAR Processing Platform validates raw radar data, decides when and where to process it, runs the processing workflows, catalogs the products and gates their delivery. You’ll join a small team that owns this orchestration layer end to end, covering how incoming data is validated, scheduled and processed, how products are cataloged and delivered, and the tools operators use to run it. The platform runs in the cloud and on on-premises clusters at customer sites, and you’ll work daily with SAR processing engineers, other engineering teams across the platform, DevOps, product and delivery. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world’s largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. Your day-to-day responsibilities - Build and maintain the backend services that schedule, process and catalog satellite data - Write and tune the processing workflows: resource sizing, reliability and integration of new processor versions - Keep production healthy: debug failed or stuck jobs from logs, metrics and the database, and turn recurring incidents into fixes or tooling - Ship through automated, version-controlled deployments to test, staging, production and on-prem environments, and roll out new processor versions and products with the SAR processing engineers using gradual rollouts and quality gates - Write tests, documentation and runbooks, and review teammates’ code What we’re looking for Must haves: - 2 to 5 years of backend software engineering experience, with solid Go and working Python, and willingness to read and occasionally change Rust - Hands-on Kubernetes and Docker as a developer: you have deployed, debugged and sized workloads yourself, not only used a cluster someone else ran - PostgreSQL (schema design, migrations, query debugging) and AWS fundamentals (S3, IAM, EKS or equivalent) - Experience running software in production, including incident debugging and postmortems - Pragmatic use of AI/LLM tools in daily development, fluent English, and comfort asking and answering questions in a distributed team Nice to haves: - Argo Workflows, Airflow or similar; NATS or Kafka; any Rust experience - Geospatial or remote-sensing data (GeoTIFF, COG, STAC, GDAL), or any large-file scientific data pipeline - Helm, Flux, Terraform; Prometheus, Grafana, OpenTelemetry Application Process 1. Recruiter Interview (30 mins online) 2. Hiring Manager Interview (60 mins online) 3. Technical Interview/ Task ( 60- 90 mins) 4. Onsite/ Final Interview (60 mins) Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us, and we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Espoo Workplace: Hybrid Senior Software Engineer - SAR Processing Platform Role highlights: Job title: Senior Software Engineer - SAR Processing Platform Location: Espoo, Finland Department: SAR Processing Platform Reports to: SAR Processing Platform Team Lead Employment type: Permanent Workplace model: Hybrid : 3 days in the office Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: As a Senior Software Engineer, you’ll shape the platform that every ICEYE image passes through before a customer sees it. The SAR Processing Platform validates raw radar data, decides when and where to process it, runs the processing workflows, catalogs the products and gates their delivery. You’ll join a small team that owns this orchestration layer end to end, running in the cloud and on on-premises clusters at customer sites, and you’ll help decide where it goes next. The hard problems are scheduling and routing under cost and latency constraints, data integrity across a multi-step pipeline, safe rollouts across many environments, and keeping a system that processes every ICEYE image reliable with a small team. Who We Are ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world’s largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. Your day-to-day responsibilities - Own the design of the orchestration layer (scheduling rules, routing between processors, failure handling and resource planning) and build and maintain the backend services and processing workflows behind it. Write the design, argue it with production data, and land it in stages. - Lead incident response for processing incidents, run cross-team root-cause work with the SAR processing and other engineering teams, and make sure postmortem actions close. - Drive platform-wide changes across repositories and environments: multi-release rollouts across cloud and on-prem clusters, migrations that never lose data on first rollout, gradual rollouts and quality gates. Harden access to the platform with least-privilege access to data stores, audit logging across services, and access reviews with Security Engineering. - Review designs and code, pair on hard debugging, and raise the bar on tests, documentation and runbooks. Represent the platform toward SAR processing, other engineering teams, product, DevOps and on-prem customers: turn requests into prioritized work with a business case, and push back with data when needed. What we’re looking for Must haves: - 5+ years of backend software engineering, including building and operating distributed systems in production, with strong Go plus strong Python or Rust - Deep hands-on Kubernetes experience (resource management, scheduling, node pools and autoscaling, Helm), plus AWS (S3, IAM, EKS) and Terraform - PostgreSQL at depth (performance, zero-downtime migrations, query design) and experience with event-driven and batch pipelines: idempotency, at-least-once delivery, backpressure, large objects in S3 - A track record of running production (incident lead, reliability improvements you can quantify) and strong written design communication: you can lay out options, back a choice with data and get a team to agree. Fluent English, a collaborative mindset in a distributed team, and pragmatic use of AI/LLM tools in daily development Nice to haves: - Argo Workflows or another workflow engine at scale; NATS or Kafka; Rust for data-intensive tooling - Geospatial or remote-sensing data (GeoTIFF, COG, STAC, GDAL), or SAR specifically; on-premises Kubernetes (RKE2 or similar) and restricted deployments - GitOps and observability (Flux and Helm; Prometheus, Grafana, OpenTelemetry); security work such as IAM reviews, audit logging and pentest remediation Application Process 1. Recruiter Interview (30 mins online) 2. Hiring Manager Interview (60 mins online) 3. Technical Interview/ Task ( 60- 90 mins) 4. Onsite/ Final Interview (60 mins) Working at ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. How We Work (Our Values) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. Have fun: What we do matters, and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. Benefits Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. Our Commitment to Diversity, Equity, and Inclusion We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us, and we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Санкт-Петербург Основная задача деятельности департамента - управление развитием Цифровой платформы для Сбера , обеспечение стандартов сопровождения и надёжности Платформы банка. Мы обеспечиваем сопровождение общих ИТ сервисов для бизнес блоков и функциональных блоков банка, совершенствуем производственные процессы и управляем инженерной трансформацией. Обязанности ### Твои задачи: * сопровождение АС в промышленной эксплуатации (PROD/ПСИ/ИФТ), поддержание SLA * мониторинг, реагирование на алерты, расследование и устранение инцидентов * проведение релизов и изменений: деплой, конфигурирование, откат версий * управление ресурсами кластера: capacity planning, квоты, лимиты, стоимость владения * ведение документации: runbooks, инструкции по аварийному восстановлению, схемы взаимодействия * периодическое дежурство по графику * внедрение улучшений: автоматизация рутинных операций, устранение повторных инцидентов. Требования ### Мы ожидаем, что у тебя есть: * опыт сопровождения промышленных систем от 3 лет * опыт эксплуатации систем с требованиями к отказоустойчивости и конфиденциальности (банковский/финансовый/госсектор — преимущество) * linux (RHEL-семейство; опыт с Astra Linux / RED OS — преимущество): опытный пользователь * сети: TCP/IP, DNS, TLS/сертификаты. **Будет плюсом:** * уверенное знание архитектуры Kubernetes/openshift: Pod, Deployment, StatefulSet, DaemonSet, Service, Ingress, ConfigMap/Secret, RBAC, NetworkPolicy * основы CI/CD: GitLab CI и/или Jenkins, GitOps-инструменты (ArgoCD/Flux) — понимание и сопровождение пайплайнов * prometheus, Grafana, Alertmanager: настройка дашбордов, метрик RED/USE, правил алертинга * bash и/или Python для скриптов сопровождения и автоматизации рутины; * kafka, Redis — сопровождение смежных компонентов * ITIL-процессы (инциденты, проблемы, изменения), опыт работы в ITSM-системе. Условия ### Работа в Сбере - это: * гибридный формат работы * годовой бонус и ежегодный пересмотр зарплаты * расширенный ДМС с первого дня и льготное страхование для семьи * корпоративный университет Сбера, внутренняя образовательная платформа, участие в IT-конференциях * 90 дней удаленной работы из любого региона РФ * льготная ипотека в Сбере * подписка Прайм с возможностью совместного использования на трёх близких.

Location: Воронеж Наша команда занимается сопровождением Интеллектуальной системы управления, которая позволяет повысить эффективность руководителей и сотрудников Сбера за счёт автоматизации процессов, внедрения AI-помощников и GenAI для принятия лучших решений и развития подчиненных. Обязанности * администрирование и поддержка Linux-инфраструктуры * диагностика инцидентов и поиск корневых причин сбоев * мониторинг производительности систем и обеспечение их стабильной работы * взаимодействие с командами разработки для решения технических задач * участие в процессах по повышению отказоустойчивости сервисов. Требования * опыт работы с системами мониторинга (Zabbix, Grafana, Prometheus, Victoria Metrics) от 2-х лет * знание методологий SRE и опыт работы с контейнеризацией (K8s, OpenShift). * понимание процессов информационной безопасности (SSL, mTLS, работа с сертификатами) * опыт с инструментами логирования и обмена сообщениями (ELK, Kafka) * практический опыт с инструментами DevOps (Git, Jenkins, Nexus, BitBucket) * навыки автоматизации задач и программирования (Bash, Python), базовые знания SQL. Условия * работа в удобном и современном офисе в г. Воронеж, улица 9 Января * 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 * подписка СберПрайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Home-based, Mauritius Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Are you ready to be at the heart of a global fintech leader? Checkout.com http://Checkout.com is seeking a forward-thinking and technically curious Operations Center Engineer I to join our cutting-edge Global Operations Center. This is not your typical support role. You will be a vital part of the team that ensures the stability, performance, and security of the core infrastructure that powers our global platform. Forget waiting for things to break. As an Operations Center Engineer, you will proactively monitor our complex hybrid environment, identify potential issues before they impact our services, and contribute to the automation that keeps us running at peak performance. You will gain hands-on experience with industry-leading technologies like AWS, Cisco networking, and Terraform, making a tangible impact on a global scale. If you are a problem-solver with a passion for cloud and infrastructure technologies, we want you on our team. What You Will Be Doing: - Proactive Monitoring & Incident Management: Serve as a first responder for alerts from our sophisticated monitoring systems, analyzing and troubleshooting issues across our cloud (AWS) and on-premise (Cisco) infrastructure. - Infrastructure Operations: Take ownership of incidents, working with senior engineers to resolve complex technical issues and prevent recurrence. - Automation & Efficiency: Utilize and contribute to our Infrastructure-as-Code practices, with opportunities to work with tools like Terraform to automate responses and deployments. - Collaborative Problem-Solving: Work closely with Engineering, Security, and Application Support teams to ensure swift resolution of any service-impacting events. - Process Improvement: Adhere to and help refine our ITSM and operational processes, ensuring we maintain the highest standards of service delivery and availability within our SLAs. - Global Impact: Communicate effectively with stakeholders across the business during incidents and provide clear, concise updates. About You: - A degree in IT, Computer Science, Engineering, or a related field is a strong asset. - While we welcome promising fresh graduates, 1-2 years of experience in a Systems, Network, Security, or NOC role would be an advantage. - Foundational knowledge of cloud technologies is essential; hands-on experience or certifications in AWS are highly desirable. - Familiarity with Cisco environments is a plus. - Exposure to or a strong desire to learn Infrastructure-as-Code principles and tools like Terraform. - Familiarity with monitoring tools (e.g., Datadog, Grafana, Prometheus, Nagios) and their role in a proactive operational environment. - Excellent troubleshooting skills across Windows and Mac OS environments. - A collaborative, can-do attitude with strong communication skills and the ability to perform under pressure. - A deep-seated curiosity and eagerness to learn and grow in a fast-paced, global technology company. - Flexibility to work on a 24/7 shift rotation, including weekends and public holidays, to ensure continuous global operations. Join us at Checkout.com http://Checkout.com to build the future of commerce. If you are ready to launch your career in a forward-looking operational role and move beyond traditional support, apply now! Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Responsibilities: — Design, build and maintain backend services in Go with clean, idiomatic, and readable code — Design gRPC and REST APIs, maintain stable contracts, and version them when changes occur — Write efficient PostgreSQL queries, design schemas, and create safe, reversible migrations — Properly use goroutines, channels, and context to avoid leaks and ensure correct timeouts and cancellations — Handle errors explicitly, including retries and idempotency for repeatable calls — Write unit and integration tests covering business logic and failure cases — Implement structured logging, metrics, and health checks for problem diagnosis — Ensure service security by validating input, authenticating callers, and keeping secrets out of code and logs — Profile and optimize CPU, memory, and database load as needed — Write concise technical documentation for owned APIs and services — Review teammates' pull requests to maintain code consistency Requirements: — 1–3 years of commercial backend development experience in Go — Experience building or maintaining at least one production service in Go (REST or gRPC) — Proficiency with PostgreSQL including queries, indexes, and migrations — Experience using Docker and writing Dockerfiles — Basic Kubernetes knowledge is a plus — Experience integrating third-party APIs, preferably payments or webhooks — Familiarity with Git and pull requests in a team environment — Required skills include Go concurrency primitives (goroutines, channels, context), error handling, REST API design, gRPC and Protobuf knowledge, PostgreSQL SQL queries and migrations, Docker, Git, unit testing in Go, HTTP basics including JWT authentication, and Linux basics Nice to have: — Kubernetes basics (pods, deployments, logs via kubectl) — Experience with payment providers (Click, Payme, Uzum) or webhooks — Experience with message queues such as RabbitMQ, Kafka, or NATS — Redis — CI/CD with GitHub Actions — Monitoring tools like Prometheus or Grafana — Experience with Helm, ArgoCD, or other GitOps tools — Experience with HashiCorp Vault or other secrets managers — Experience with IoT or hardware integrations (barriers, cameras, ANPR) — Experience with payment providers and fiscal requirements — Networking experience including tunnels, VPNs (IPsec), and load balancers — Some knowledge of C#/.NET Soft Skills: — Takes responsibility for results beyond just completing tasks — Proactively asks for help when stuck — Communicates clearly about progress and blockers — Accepts code review feedback calmly — Learns new tools quickly — Pays attention to detail, especially in payment logic — Works well in a small team Candidate Assessment Process: 1. CV review including GitHub within 3 working days 2. Short call (20–30 minutes) discussing experience and role 3. Technical interview (60–120 minutes) covering Go basics, concurrency, PostgreSQL, REST/gRPC, and a live coding task 4. Final interview (30 minutes) with team lead discussing work style and offer Apply https://hh.uz/vacancy/139299572

Location: Москва Наш продукт — это ИИ-помощник, который разработан для помощи сейлзам и трейдерам, снимая с них часть рутинных задач и процессов. Обязанности * тестирование качества ответов AI-навыков: релевантность, полнота, корректность, отсутствие галлюцинаций и «уверенных, но неверных» ответов * формирование и поддержка эталонных датасетов (golden set) для регрессионной оценки LLM-ответов и промптов * тестирование промптов, RAG-конвейеров и маршрутизации оркестратора — правильный ли агент/навык выбирается под запрос, полные ли источники подтягиваются * оценка недетерминированного поведения: прогон запросов N раз, статистические метрики стабильности и качества, выявление регрессов качества между версиями моделей/промптов * разработка, ревью и поддержка тест-кейсов, чек-листов, тест-планов * взаимодействие с разработчиками, аналитиками, DS/ML-инженерами и PO для уточнения требований * ведение баг-трекинга в Jira, документирование в Confluence. Требования * опыт в роли QA от 3 лет * опыт функционального и сквозного (E2E) тестирования * опыт тестирования API и интеграций: REST/gRPC, форматы запросов/ответов, работа с моками внешних сервисов * умение составлять и проверять тест-кейсы в Zephyr, анализировать покрытие * понимание принципов работы LLM и GenAI: промпты, RAG, температура/вариативность, ограничения моделей, типовые режимы отказа (галлюцинации, потеря контекста, неверная интерпретация запроса) * опыт оценки качества AI-ответов: эталонные наборы, ручная и полуавтоматическая разметка, метрики точности/полноты/faithfulness/relevancy * навыки написания скриптов на Python для прогона батчей запросов, сбора и сравнения результатов. ### Будет плюсом: * опыт в финтехе / банковской сфере * опыт тестирования AI/ML-продуктов: чат-боты, ассистенты, рекомендательные системы * знание инструментов оценки LLM: LangSmith, DeepEval, Arize, RAGAS или аналоги * базовые знания автоматизации тестирования (Java, Python). * опыт работы с системами мониторинга (Grafana), включая мониторинг качества AI-ответов * понимание требований комплаенса и работы с чувствительными данными. Условия * комфортный современный офис на Вавилова, 19 * формат работы – гибрид * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * программа адаптации и помощь руководителя на старте * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Location: London; Belgrade; Ireland Keeping a crawler running is not the same as keeping it productive. Queues can grow while servers look healthy, and a small change can become a fleet-wide bottleneck. On Perplexity's Crawler team, you'll improve throughput, plan capacity, and build operational reliability through safer deployments, better observability, and durable fixes. Responsibilities - Operate and optimize Kubernetes workloads and supporting infrastructure for crawler services, including fetching and rendering fleets. - Build and maintain infrastructure as code and CI/CD pipelines, with safe rollouts, validation, and fast rollback. - Define SLOs and build monitoring, alerting, and observability for availability, latency, throughput, and resource saturation. - Own capacity planning and resource efficiency; diagnose queue backlogs, network failures, and resource bottlenecks with service owners. - Participate in the team's on-call rotation, lead incident response, and turn blameless postmortems into durable reliability improvements. - Write production software to automate diagnosis and routine remediation, with validation and approval gates for high-impact actions. Qualifications - 5+ years of experience in SRE, production engineering, or infrastructure-heavy backend roles, with strong programming skills in Python, C++, Rust, or Go. - Hands-on experience with cloud infrastructure, production Kubernetes, infrastructure as code such as Terraform, and automated deployment workflows. - Strong Linux and networking fundamentals, including TCP/IP, DNS, TLS, HTTP, and load balancing. - Experience building observability with tools such as Datadog, Prometheus, or Grafana, and using SLOs to guide reliability improvements. - Proven experience diagnosing distributed-system failures, leading production incidents, and improving system performance or resource efficiency. Nice to have - Experience operating web crawlers, search infrastructure, or browser fleets at scale. - Experience with distributed queues, backpressure, workload isolation, or multi-region recovery.

Location: London; Belgrade; Ireland Keeping a crawler running is not the same as keeping it productive. Queues can grow while servers look healthy, and a small change can become a fleet-wide bottleneck. On Perplexity's Crawler team, you'll improve throughput, plan capacity, and build operational reliability through safer deployments, better observability, and durable fixes. Responsibilities - Operate and optimize Kubernetes workloads and supporting infrastructure for crawler services, including fetching and rendering fleets. - Build and maintain infrastructure as code and CI/CD pipelines, with safe rollouts, validation, and fast rollback. - Define SLOs and build monitoring, alerting, and observability for availability, latency, throughput, and resource saturation. - Own capacity planning and resource efficiency; diagnose queue backlogs, network failures, and resource bottlenecks with service owners. - Participate in the team's on-call rotation, lead incident response, and turn blameless postmortems into durable reliability improvements. - Write production software to automate diagnosis and routine remediation, with validation and approval gates for high-impact actions. Qualifications - 5+ years of experience in SRE, production engineering, or infrastructure-heavy backend roles, with strong programming skills in Python, C++, Rust, or Go. - Hands-on experience with cloud infrastructure, production Kubernetes, infrastructure as code such as Terraform, and automated deployment workflows. - Strong Linux and networking fundamentals, including TCP/IP, DNS, TLS, HTTP, and load balancing. - Experience building observability with tools such as Datadog, Prometheus, or Grafana, and using SLOs to guide reliability improvements. - Proven experience diagnosing distributed-system failures, leading production incidents, and improving system performance or resource efficiency. Nice to have - Experience operating web crawlers, search infrastructure, or browser fleets at scale. - Experience with distributed queues, backpressure, workload isolation, or multi-region recovery.

Location: Tbilisi, Georgia; Warsaw, Poland; Astana, Kazakhstan; Almaty, Kazakhstan; Yerevan, Armenia Join COLIBRIX ONE – Innovating the Future of Payments At COLIBRIX ONE* , we’re building advanced, AI-powered payment technologies that support Payment Service Providers (PSPs), Electronic Money Institutions (EMIs), and neobanks across the EU and the UK. As a fully licensed Electronic Money Institution (FCA Reference No. 927920) and holder of a Financial Institution Licence issued by the MFSA, as well as a principal member of both VISA and Mastercard, we provide comprehensive, real-world financial solutions that include: Global card processing Digital wallet infrastructure Cross-border merchant accounts Alternative payment methods (APMs) Corporate accounts for legal entities We’re a fast-growing team with a passion for innovation, security, and scalability. Our culture values curiosity, collaboration, and impact - and we’re looking for talented professionals who are ready to shape the future of fintech. At COLIBRIX ONE, your work directly powers the digital economy. If you're eager to solve meaningful challenges and build with purpose, we’d love to hear from you. The role: We are looking for a Customer Support Specialist to assist clients and partners with a wide range of issues related to acquiring and payment systems. This role goes beyond basic customer service - you will handle technical inquiries, perform initial diagnostics and investigate issues affecting transaction processing. Close collaboration with internal teams and clear communication with clients are key to ensuring fast and effective resolution of technical problems. Responsibilities: Provide timely technical support to clients and partners regarding acquiring operations and payment systems Register and categorize incoming inquiries, including requests for assistance, error reports, and reporting-related queries Perform initial analysis and diagnosis of issues arising during transaction processing and payment gateway operations Resolve simple technical issues independently and escalate more complex problems when necessary Advise clients on setting up and using software for payment operations Document client inquiries, including problem descriptions, actions taken, and outcomes Collaborate with other company departments to promptly address clients' technical issues What you need to succeed in this role: At least 1–2 years of relevant experience in the fintech industry Excellent written and verbal communication skills in English and Russian Knowledge of the principles of operation, payment terminals and payment gateways Good understanding of the technical aspects of payment processing and standard data transmission protocols in this field Experience with incident management and monitoring systems (e.g., Intercom, JIRA, Grafana, Asana) Experience with any ticketing/CRM system Quick learning ability and adaptability to new information A proactive and problem-solving mindset with excellent organizational skills Excellent communication skills and ability to explain complex technical concepts in simple terms Ability to work in shifts, including both day and night, to ensure 24/7 customer support What we offer: Opportunity to shape the future of fintech solutions within a growing company A collaborative and supportive team environment Continuous learning and development opportunities to enhance your skills and career growth Competitive salary Paid vacation Fully remote work Additional Information: Employment Type: B2B Contract Working schedule: Shift-based, including both day and night shifts (24/7 rotation) * Employment will be offered through one of the group’s legal entities - Mellifera Kartiera Ltd, Colibrix Ltd, or Mellifera Operations Ltd - depending on the role, location, and applicable legal framework.

Location: EMEA - Remote; USA - Remote Workplace: Remote ABOUT POLYGON LABS Polygon Labs is a global blockchain payments company building and operating infrastructure to move money instantly, reliably, and at internet scale, with the mission to move all money onchain. It is building the Polygon Open Money Stack, an open and integrated stack of services and technologies to instantly and reliably move money anywhere, and put it to work. Its infrastructure has facilitated trillions of dollars in onchain value transfer and supported millions of transactions daily for some of the globe's largest banks, fintechs, enterprises, and consumer applications. AI PLATFORM ENGINEER ABOUT THE ROLE We are hiring an AI Platform Engineer to help build the platform that powers every agent at Polygon Labs. Polygon is a cryptocurrency company focused on on-chain payments infrastructure. As we shift to having agents manage the majority of work across engineering, business development, compliance, support, and finance, people will supervise and guide those agents while making key decisions.   You will join a small, flat Platform Team reporting to the AI Platform Lead. This team owns the entire AI platform, including the agent runtime, MCP servers, guardrails, evaluations, observability, and spend tracking. The team proactively identifies opportunities where AI can accelerate, improve, or automate work company-wide—including tasks that haven’t yet been automated.   Our internal customers are Operators: domain experts in every function who manage fleets of agents and define standards of quality. This is a hands-on IC role, where you will write code, ship to production, and take ownership of your deliverables.   YOUR RESPONSIBILITIES - Move agentic workflows into production, taking prototypes to robust systems for real users and owners, with SLAs (e.g. spec-to-PR agents, AI code review, incident triage, KYB review). - Build and manage MCP servers, including system design, hosting, security, authentication (e.g. per-user OAuth), and keeping a clean connector inventory for Slack, GitHub, Jira, HubSpot, and internal services. - Develop autonomous agents that act and plan across tools through trust stages: shadow, suggest, execute, and autonomous. - Embed guardrails into the platform, providing each agent its own identity, scoped credentials, audit logs, CI checks, approval gates, allowlists, and least-privilege access. - Build evaluation frameworks (test sets, regression suites, live scoring in production) so every agent releases with quality metrics tied to business outcomes. - Instrument agents for observability: tracing, logging, latency, cost, drift detection, and daily dashboards for Operators. - Track AI spend across providers (Anthropic, OpenAI, OpenRouter), setting budgets, alerts, and spend attribution to teams, agents, and workflows. - Support Operators by developing features from their requests, writing documentation, running enablement sessions, and building self-service tools. - Create skills and plugins centralizing company knowledge (processes, standards, security, brand), versioning and reviewing these to ensure consistent, repeatable agent output. - Proactively find and automate manual, repetitive processes across the company, measuring outcomes and iterating rapidly.   WHAT YOU'LL NEED - 5+ years as a software, platform, or infrastructure engineer, including experience prior to AI coding tools. Solid grasp of system design, data modeling, testing, debugging, and code review. - 6-12 months shipping LLM-based systems to production, with agentic workflows in use by real end users. - Daily, hands-on experience with AI coding agents like Claude Code and Codex to write, test, and review production code. - Experience building autonomous or multi-step agents with tool use (Claude Agent SDK, Anthropic/OpenAI APIs, or similar). - MCP server experience (OAuth flows, scoped tokens, user-level access control). - Identity and access experience: Okta (or similar IdP), SSO (SAML/OIDC), SCIM provisioning, group-based and device policies. - Creating automated system identities (GitHub Apps, service accounts, API keys, secret managers like 1Password). - Designing guardrails: least-privilege, audit logs, CI checks, approval gates, allowlists, and policy-as-code. - Creating evals for LLM systems: test sets, rubrics, CI regression, release gates, and live production scoring. - Instrumenting production system observability: tracing, metrics, alerting, dashboards (OpenTelemetry, Grafana, Datadog, Langfuse, LangSmith, Braintrust). - Tracking AI spend across vendors: per-key limits, cost centers, budgets, actionable alerts. - Strong in at least one of TypeScript, Python, Go; working knowledge of CI/CD (GitHub Actions/etc), cloud infrastructure. - Track record of independently identifying and automating manual processes (two or three concrete examples). - Clear, concise written communication (specs, runbooks, RFCs).   PREFERRED QUALIFICATIONS - Cryptocurrency, blockchain, payments, or fintech experience (regulated industry/audit a plus). - Experience writing agent skills, plugins, or shared prompt libraries for organizational reuse. - Familiarity with model gateways (OpenRouter, LiteLLM, Portkey): key management, routing, fallback. - Experience extending open-source coding agents (OpenCode, Pi). - Awareness of emerging agent identity standards (MCP enterprise-managed auth, Okta Cross App Access). - Context/retrieval engineering: vector stores, agent memory, permissioned retrievals. - ML engineering: model evaluation, fine-tuning, model routing. - Experience with agent runtimes/sandboxes (Modal, n8n, containerized environments). - Public technical work: open-source tools, servers, blog posts, talks about agent production experience.   HOW YOU’LL WORK - Treat Operators as the customer—supporting engineers and non-engineers in every business function. - Listen to needs, refine vague asks into actionable requirements, and communicate technical concepts plainly to executives or subject matter experts. - Assertively but diplomatically push back on unsafe or low-value requests, suggesting alternatives. - Operate autonomously: write specs, break down projects, ship and iterate independently, and communicate progress asynchronously across time zones. - Use judgment to distinguish critical automations from temporary demos, and validate changes with affected users. - Own outcomes post-merge: pilot, monitor, fix, and iterate as needed. - Work transparently in public channels, tickets, written docs, and runbooks. - Create reusable assets (skills, plugins, templates, tools) from frequent learnings or solutions, making them broadly accessible across the company.   SUCCESS IN 90 DAYS - 30 days: Ship production changes to a live system (e.g. AI SDLC pipeline, code review, or spend analytics). Gain familiarity with agent runtime, MCP servers, spend tracking. - 60 days: Take end-to-end ownership of a platform area, publishing a spec and meeting with relevant Operators. - 90 days: Ship an agent with live-scored eval suite and Operator dashboard; complete an Operator request independently; propose and launch at least one unsolicited automation. POLYGON LABS PERKS The goal of the Polygon Labs total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan includes the following benefits for our full time employees: - Remote first global workforce - Industry leading Medical, Dental and Vision health insurance* - Company matching 401k with 3% match* - $1,500 Home Office Set Up Allowance (life-time max) - $200 Annual Book Allowance Program - $75 Monthly internet or phone reimbursement - Flexible Time Off - Company issued laptop - Egg freezing, mental health, and employee wellness benefits *In certain countries medical, dental and vision is fully covered for employees & their dependents. This is country and plan specific. *401k is for United States employees only   Polygon Labs is committed to a diverse and inclusive workplace and is an equal opportunity employer. We do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Polygon Labs is committed to treating all people in a way that allows them to maintain their dignity and independence. We believe in integration and equal opportunity. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. If you think you have what it takes, but don't necessarily meet every single point on the job description, please still get in touch. We'd love to have a chat and see if you could be a great fit.   Learn More about Polygon Labs Website https://polygon.technology/ |Twitter https://twitter.com/0xPolygon|Telegram https://t.me/polygonofficial |Reddit https://www.reddit.com/r/0xpolygon/ |Discord https://discord.gg/0xpolygoncommunity |Instagram https://www.instagram.com/0xpolygon/ |Facebook https://www.facebook.com/0xPolygon.Technology |LinkedIn https://www.linkedin.com/company/13449964/admin/

Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $136M ARR 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. We’re seeking a Site Reliability Engineer III (DBA) in LATAM to join our team! About the Role We are seeking a Site Reliability Engineer III with a Database Administration focus to help ensure the stability, scalability, and reliability of our production database systems, primarily Vitess (distributed MySQL) and Cassandra, alongside the rest of our production services and infrastructure. This database specialization is layered on top of the full SRE III scope on the team. You will carry the same on-call, incident response, and service ownership expectations as other SRE IIIs, with database systems serving as your area of deepest technical ownership. Because our SRE Database Engineering function is new, this role will also help establish its operational foundation by designing database architecture and developing the runbooks, escalation guidance, procedures, and training materials that our Level 1 and Level 2 SRE Database Engineers will use as they onboard. The ideal candidate will have strong experience with production database systems, Linux, automation, distributed systems, Kubernetes, observability, and incident response, with a proactive approach to reliability and operational excellence. What You'll Do: Database Architecture & Administration: Design, deploy, and own highly available database architecture for Vitess (distributed MySQL) and Cassandra. Establish and document operational procedures, runbooks, and escalation guidance for Level 1 and Level 2 SRE Database Engineers. Optimize database performance through query tuning, indexing strategies, schema design, and capacity planning. Own database backup, recovery, replication, and disaster recovery strategies. Perform and validate disaster recovery testing and database recovery procedures. Drive database security, access control, patching, hardening, and compliance practices. Serve as an escalation point for complex database production incidents. Partner with the DBA and Data Infrastructure teams on resharding, capacity planning, replication, and architecture decisions for sharded MySQL environments. Service Reliability & Operations: Support the availability and durability of critical services across production environments. Monitor service health using SLIs, SLOs, error budgets, monitoring, logging, and alerting platforms. Partner with service owners to define and improve SLIs, SLOs, error budget policies, and alerting. Participate in on-call rotations, incident response, root cause analysis, and post-incident reviews. Serve as an escalation point for complex production database and infrastructure incidents. Follow established ITIL/OSS processes including incident, change, problem, and capacity management. Take ownership of operational issues and drive projects from problem discovery through resolution. Automation & Tooling: Develop automation for common operational and database administration tasks to reduce manual intervention and operational toil. Contribute to monitoring, logging, and alerting frameworks including Prometheus, Grafana, Catchpoint, and ELK. Help integrate operational runbooks and incident response workflows with FireHydrant. Work with CI/CD pipelines, configuration management, and infrastructure as code tools including Terraform, Ansible, and Jenkins. Develop scripts using Bash, Python, Go, or similar technologies to improve reliability and operational efficiency. Operate and troubleshoot containerized production environments using Kubernetes and Docker. Work within Kubernetes and Vitess environments using technologies such as kubectl, mysqlsh, and Vitess keyspaces. Work with HashiCorp technologies including Terraform, Vault, and Nomad. Project Management & Collaboration: Lead Production Readiness Reviews (PRRs) for functionality being handed off from engineering partner teams. Support the operational readiness of new database-backed services before they enter production. Build training plans, onboarding materials, and technical documentation for new Level 1 and Level 2 SRE Database Engineers. Partner with Engineering, Product, Operations, and DBA/Data Infrastructure teams on reliability initiatives. Assist with capacity planning, disaster recovery exercises, database migrations, and infrastructure projects. Work with vendors and service providers to troubleshoot service issues and track SLA performance. Identify opportunities for automation and process efficiency. Share technical knowledge and help grow a reliability-minded engineering culture. Incident Response: Respond to and resolve production database, infrastructure, and service incidents. Troubleshoot and escalate database, Linux, networking, application, and infrastructure issues as needed. Participate in the on-call rotation and serve as an escalation point for database-related incidents. Lead or contribute to root cause analysis and post-incident reviews. Identify recurring issues and develop long-term corrective actions to improve reliability. Design action plans to address recurring operational and database problems. What We Value: A proactive mindset with a can-do attitude. Someone who can work independently, take ownership, and drive complex technical problems through resolution. Someone who steps up, supports teammates, mentors others, and shares knowledge freely. Strong problem-solving skills and a willingness to learn new technologies. Curiosity, reliability, and a desire to improve the reliability and scalability of production systems. Required Qualifications: 6–8 years of experience in site reliability engineering, systems engineering, infrastructure operations, database engineering, or similar roles, with meaningful experience supporting production database systems. Deep hands-on experience with MySQL and distributed or sharded database systems. Experience with Vitess in a production environment strongly preferred. Experience administering and supporting NoSQL databases such as Cassandra. Experience designing high-availability database architecture, replication topology, backup strategies, and disaster recovery processes. Strong SQL skills, including query performance analysis, indexing, schema design, and troubleshooting. Solid Linux systems administration and troubleshooting skills. Experience with security-focused operations including patching, system hardening, access controls, and vulnerability remediation. Strong understanding of service reliability concepts including monitoring, alerting, incident response, root cause analysis, SLIs, SLOs, and error budgets. Experience working with containers and orchestration platforms including Kubernetes and Docker. Comfortable operating in Kubernetes and Vitess environments using tools such as kubectl, mysqlsh, and Vitess keyspaces. Experience with infrastructure and configuration management technologies including Terraform, Ansible, Jenkins, and HashiCorp products such as Vault and Nomad. Proficiency in at least one scripting language such as Python, Bash, or Go. Experience establishing operational procedures, runbooks, documentation, and escalation processes. Experience mentoring, training, or helping onboard engineers into complex technical environments. Experience supporting large-scale, production-grade systems. Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience. Preferred Qualifications: Direct production experience with Vitess. Experience with large-scale distributed or sharded MySQL environments. Experience with Cassandra or similar distributed NoSQL databases at scale. Experience in SaaS, cloud services, service provider, or large-scale distributed systems environments. Experience with AWS, GCP, Azure, or similar cloud platforms. Familiarity with ITIL/OSS practices and SLA/SLO management. Experience leading Production Readiness Reviews. Experience developing onboarding or technical training materials for engineers. Experience acting as a technical escalation point for database or infrastructure incidents. 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. 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.

На данный момент мы в поиске Senior DevOps Engineer Формат работы: Удаленный Локация и гражданство: РФ Оформление: только как ИП Сфера проекта: Нефтегазовая отрасль, enterprise-интеграции Роль предполагает не только DevOps-разработку, но и участие в архитектурных решениях: проектирование инфраструктуры с учётом требований платформы и последующая реализация.

Роль предполагает не только DevOps-разработку, но и участие в архитектурных решениях: проектирование инфраструктуры с учётом требований платформы и последующая реализация. ● Коммерческий опыт работы DevOps-инженером от 5 лет.

Задачи: — Предоставление внутренних инструментов и облачных сервисов как услуги для всех продуктовых команд компании. — Обеспечение масштабируемой и надежной основы для разработки. Требования: — Грейд Senior. — Опыт работы с Kubernetes, Grafana, Yandex Cloud, Python, Terraform, Prometheus, Mimir, Alloy. Условия: — Удалённая работа.

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a full-time remote opportunity. We are considering candidates based in the US and Canada only, within the Eastern or Central time zones. The Opportunity: We are building Mobile Session Replay: a way for teams to see what users actually experienced in their iOS, Android, Flutter and React Native apps, inside Grafana Cloud. Session Replay connects frontend signals to session-level evidence, so engineers can investigate production issues faster and with more confidence. Web replay is already available publicly. Mobile replay extends the same story to native apps as part of our Digital Experience Monitoring (DEM) strategy. We are starting with Android. A working prototype already exists, and you will help turn it into a product customers can trust. The plan is to push ahead from there: iOS next, then our Flutter, React Native and OpenTelemetry mobile SDKs, so customers get a consistent replay experience across platforms. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Staff Mobile Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! What you'll be doing As a Staff Mobile Engineer you will be the technical lead for mobile capture and replay, working across the device, the ingest path and the player. Specifically, you will: Own the on-device replay library end to end, starting with Android and extending to iOS. Make privacy a default, designing masking and consent controls so sensitive data never leaves the device. Keep the overhead low and measure it on real devices, protecting startup time, UI responsiveness, battery, memory, network use and disk, and profiling the impact of capture and masking while the app is actively being used. Give customers controls to trade fidelity against cost. Build the integration layer so customers do not copy demo glue code: adapters that tie replay to the active RUM session, sampling decisions and screen or navigation changes. Work across the stack with Frontend and Mobile Observability teams on the capture, upload and storage pipeline, session inactivity handling, the timeline player and the mobile sessions and replay experience in Frontend Observability. Evaluate the format and API tradeoffs rather than assuming the current prototype approach is final. Define quality and compatibility: automated tests, CI, device and OS coverage, and backwards-compatible upgrade paths for an SDK that customers cannot easily update. Engage directly with customers: join calls, gather structured feedback, and help teams instrument and adopt Mobile Session Replay Mentor engineers and help grow technical leadership in the team We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. Technologies you'll work with Kotlin (primary, Android-first) and Swift (iOS) Android media and graphics APIs (MediaCodec / H.264 encoding, view and window capture, Jetpack Compose and View-based UIs) Faro (Flutter and React Native SDKs) and OpenTelemetry Android and iOS SDKs Go (collector and ingest services) and TypeScript / React (player and Frontend Observability UI), as you partner across the stack OLAP Database / Object storage (S3) Kafka/Warpstream Grafana ecosystem (Mimir, Loki, Tempo, etc.) What makes you a great fit You are comfortable working in a remote-first, globally distributed company. Communication is key, and you write and speak clearly in English You are collaborative, friendly, kind and respectful. We operate by consensus: you can contribute, disagree constructively, and commit to the team's decision You have deep native mobile engineering experience on Android (Kotlin/Java) or iOS (Swift/Obj-C). We are building Android first, so Android depth is a priority for the first hire. We are hiring across both platforms, and we do not expect you to be an expert in both, but you are willing to learn and contribute across platforms over time. You have built or maintained mobile SDKs or platform libraries used by external developers, and you care about developer experience, API design and safe upgrade paths You have worked on performance-sensitive code (startup time, memory, battery, network efficiency, background execution limits) and make pragmatic tradeoffs You are comfortable with media and rendering pipelines on mobile: capturing screen content, working with frames or bitmaps, and encoding or handling video You are comfortable owning a product from 0 to 1 in ambiguous problem spaces. You can break large problems into increments and work autonomously You take a user-centered approach, and you build understanding of customers' context and goals so you build the right thing You are thoughtful about privacy and security on user devices, including handling of sensitive data You use AI tools as a natural part of your engineering workflow, for exploration, code review or reasoning through design tradeoffs, and you are thoughtful about where they help and where they don't Bonus points for Prior work on mobile session replay, screen recording, or sampling for mobile telemetry Experience with video encoding (H.264, MediaCodec, AVFoundation) or on-device masking and redaction Familiarity with rrweb or web session replay concepts Experience with OpenTelemetry, crash reporting libraries or other observability open source Experience with cross-platform frameworks (React Native, Flutter) or building native bindings and bridges Experience with observability or debugging tools (Grafana, Datadog, New Relic, Sentry, etc.) Familiarity with mobile privacy, consent and platform policy requirements Experience with Go or TypeScript, since the work crosses into our ingest and player In Canada, the OTE (On-Target Earnings)/Base compensation range for this role is $192,891 - $231,469 CAD. 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: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a full-time remote opportunity. We are considering candidates based in the US and Canada only, within the Eastern or Central time zones. The Opportunity: We are building Mobile Session Replay: a way for teams to see what users actually experienced in their iOS, Android, Flutter and React Native apps, inside Grafana Cloud. Session Replay connects frontend signals to session-level evidence, so engineers can investigate production issues faster and with more confidence. Web replay is already available publicly. Mobile replay extends the same story to native apps as part of our Digital Experience Monitoring (DEM) strategy. We are starting with Android. A working prototype already exists, and you will help turn it into a product customers can trust. The plan is to push ahead from there: iOS next, then our Flutter, React Native and OpenTelemetry mobile SDKs, so customers get a consistent replay experience across platforms. As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. We are looking for Staff Mobile Engineers who are passionate about working with data and providing seamless experiences for our customers to join our growing team! What you'll be doing As a Staff Mobile Engineer you will be the technical lead for mobile capture and replay, working across the device, the ingest path and the player. Specifically, you will: Own the on-device replay library end to end, starting with Android and extending to iOS. Make privacy a default, designing masking and consent controls so sensitive data never leaves the device. Keep the overhead low and measure it on real devices, protecting startup time, UI responsiveness, battery, memory, network use and disk, and profiling the impact of capture and masking while the app is actively being used. Give customers controls to trade fidelity against cost. Build the integration layer so customers do not copy demo glue code: adapters that tie replay to the active RUM session, sampling decisions and screen or navigation changes. Work across the stack with Frontend and Mobile Observability teams on the capture, upload and storage pipeline, session inactivity handling, the timeline player and the mobile sessions and replay experience in Frontend Observability. Evaluate the format and API tradeoffs rather than assuming the current prototype approach is final. Define quality and compatibility: automated tests, CI, device and OS coverage, and backwards-compatible upgrade paths for an SDK that customers cannot easily update. Engage directly with customers: join calls, gather structured feedback, and help teams instrument and adopt Mobile Session Replay Mentor engineers and help grow technical leadership in the team We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. Technologies you'll work with Kotlin (primary, Android-first) and Swift (iOS) Android media and graphics APIs (MediaCodec / H.264 encoding, view and window capture, Jetpack Compose and View-based UIs) Faro (Flutter and React Native SDKs) and OpenTelemetry Android and iOS SDKs Go (collector and ingest services) and TypeScript / React (player and Frontend Observability UI), as you partner across the stack OLAP Database / Object storage (S3) Kafka/Warpstream Grafana ecosystem (Mimir, Loki, Tempo, etc.) What makes you a great fit You are comfortable working in a remote-first, globally distributed company. Communication is key, and you write and speak clearly in English You are collaborative, friendly, kind and respectful. We operate by consensus: you can contribute, disagree constructively, and commit to the team's decision You have deep native mobile engineering experience on Android (Kotlin/Java) or iOS (Swift/Obj-C). We are building Android first, so Android depth is a priority for the first hire. We are hiring across both platforms, and we do not expect you to be an expert in both, but you are willing to learn and contribute across platforms over time. You have built or maintained mobile SDKs or platform libraries used by external developers, and you care about developer experience, API design and safe upgrade paths You have worked on performance-sensitive code (startup time, memory, battery, network efficiency, background execution limits) and make pragmatic tradeoffs You are comfortable with media and rendering pipelines on mobile: capturing screen content, working with frames or bitmaps, and encoding or handling video You are comfortable owning a product from 0 to 1 in ambiguous problem spaces. You can break large problems into increments and work autonomously You take a user-centered approach, and you build understanding of customers' context and goals so you build the right thing You are thoughtful about privacy and security on user devices, including handling of sensitive data You use AI tools as a natural part of your engineering workflow, for exploration, code review or reasoning through design tradeoffs, and you are thoughtful about where they help and where they don't Bonus points for Prior work on mobile session replay, screen recording, or sampling for mobile telemetry Experience with video encoding (H.264, MediaCodec, AVFoundation) or on-device masking and redaction Familiarity with rrweb or web session replay concepts Experience with OpenTelemetry, crash reporting libraries or other observability open source Experience with cross-platform frameworks (React Native, Flutter) or building native bindings and bridges Experience with observability or debugging tools (Grafana, Datadog, New Relic, Sentry, etc.) Familiarity with mobile privacy, consent and platform policy requirements Experience with Go or TypeScript, since the work crosses into our ingest and player In US, the OTE (On-Target Earnings)/Base compensation range for this role is $189,374 - $227,249 USD. 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 .