Вакансии

Задачи: — Обеспечивать доступность и отказоустойчивость продукта в условиях блокировок и сетевых ограничений — Развивать и поддерживать систему мониторинга и алертинга (Prometheus + Grafana) — Автоматизировать сборку, деплой и выстраивать CI/CD процессы — Поддерживать и развивать внутренние сервисы компании (HR-инструменты, антифрод) — Расследовать инциденты на прод-окружении, выдвигать и проверять гипотезы Требования: — Опыт администрирования Linux «руками», работы с Bare Metal и production-инфраструктурой — Отличное понимание сетей (TCP/IP, DNS, HTTP(S), Proxy) и Nginx — Опыт работы с Docker, GitHub Actions (или другими CI/CD), Python / Bash — Опыт работы с мониторингом (Prometheus, Grafana) — Прагматичный подход: адекватное отношение к отсутствию Kubernetes (работаем с Docker) — Базовый английский для чтения технической документации Будет плюсом: — Опыт единственного DevOps в небольшой компании или бэкграунд в разработке (SRE) — Опыт работы с MongoDB и ClickHouse Условия: — Оформление по ТК РФ в аккредитованной IT-компании — ДМС со стоматологией — Компенсация профессионального обучения (100%), английского (100%) и спорта/хобби (50%) — Предоставление необходимого оборудования — Гибкий график (начало дня с 8:00 до 11:00)

This is a Senior Software Engineer position with a strong focus on: — C/C++ — embedded & real-time systems — Linux — low-latency networking — hardware/software integration The engineer will work on mission-critical software for drone communication and autonomous control systems within a high-end agricultural mapping & surveying environment. Relevant backgrounds include: — UAV/drone software — robotics — avionics/aerospace — embedded Linux — autonomous systems — industrial robotics — telecom/networking Relevant technologies include: — PX4 / ArduPilot — MAVLink — ROS/ROS2 — RTOS — GNSS / RTK — telemetry systems Eastern European candidates are absolutely of interest for this role. The client is open to relocation or remote engineers within EU time zones. Candidates with experience in defense, UAV or autonomous vehicle projects are highly welcome.

Мы ищем Middle+ / Senior Unreal Engine 5 разработчика в неанонсированный игровой проект. Нужен специалист, который уверенно работает с UE5 C++, понимает архитектуру gameplay-систем и умеет писать решения, которые можно поддерживать, расширять и переиспользовать. Отдельным плюсом будет интерес к современным AI-инструментам и желание использовать их в реальном production-процессе: для ускорения разработки, прототипирования, анализа, документации и автоматизации рабочих задач. Основные требования: — Опыт участия в коммерческих игровых проектах на Unreal Engine 5; — Уверенное владение C++ в контексте Unreal Engine; — Хорошее понимание Gameplay Framework: Actors, Components, Controllers, Pawns, GameMode, GameState, PlayerState, Subsystems; — Опыт проектирования gameplay-систем, которые можно поддерживать, расширять и переиспользовать; — Понимание архитектурных принципов: разделение ответственности, слабая связанность систем, работа через интерфейсы, компоненты, подсистемы и модули; — Понимание принципов построения модульных приложений в рамках UE-проекта; — Знание общепринятых data-driven подходов: Data Assets, Data Tables, Gameplay Tags, конфигурации, настройка логики через данные; — Опыт работы с Gameplay Ability System; — Опыт работы с Common UI или понимание принципов построения UI-архитектуры в UE5; — Умение самостоятельно декомпозировать gameplay-фичи, оценивать сложность реализации и доводить задачи до production-ready состояния. Будет плюсом: — Понимание принципов построения мультиплеерных приложений; — Опыт работы с replication, RPC, authority model и сетевыми gameplay-системами в Unreal Engine; — Опыт работы с модульной архитектурой проекта: плагины, runtime/editor-модули, подсистемы, переиспользуемые gameplay-компоненты; — Опыт участия в техническом планировании, ревью решений или обсуждении архитектуры внутри команды; — Опыт работы с AI-агентами, LLM-инструментами или AI-assisted development; — Интерес к применению AI-инструментов в реальном production-процессе: прототипирование, анализ кода, документация, автоматизация рутинных задач; — Хорошая самоорганизация: умение планировать свою работу, держать фокус и заранее подсвечивать риски по задачам. Кого мы ищем: — Разработчика, который понимает, как его технические решения влияют на проект в долгую; — Человека, умеющего работать самостоятельно, задавать правильные вопросы, предлагать технические решения и поддерживать порядок в своей зоне ответственности; — Особенно интересны кандидаты, которым близка идея использовать AI-инструменты как полноценную часть рабочего процесса разработки. Формат работы: — Полностью удаленный формат; — Полный день, 80 000 - 120 000 (по итогам финального собеседования); — Уровень: Middle+ / Senior; — Работа над неанонсированным UE5-проектом; — Детали проекта обсуждаются после первичного контакта.

Задачи: — Разрабатывать и поддерживать системы исполнения DeFi на основе intent — Создавать backend-сервисы и интеграции с протоколами — Улучшать производительность и надежность Требования: — Практический опыт работы с DeFi intent-based протоколами, солверами или инфраструктурой исполнения intent — обязательно — Сильные навыки Python — Опыт создания production-систем в DeFi Желательно: — Опыт работы с Rust — Опыт создания систем для высокочастотной торговли Условия: — Сильная техническая команда, включая чемпионов по соревновательному программированию и специалистов в доменной области — Владение задачами и автономность — Рост на основе результатов

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Reports to: Head of Developer Experience Location: Hong Kong Type: 6-month contract (with the possibility to convert or renew) The Role Nex Playground is bringing families together through active play, with games tailor made with motion mechanics in mind. To support our rapid game development, we rely on robust building and testing infrastructure, a scalable CICD pipeline and various server tools. We are looking for a DevOps Engineer (Game Production), who will maintain tools and servers supporting our game production. It involves setting up monitors and reacting to problems early, ensuring that our developers can remain productive all the time. It also includes automating workflows and streamlining processes where applicable. As part of the developer experience team, we will work alongside game developers to identify their pain points and need. We maintain existing tools while innovate for new ones. We help support and scale game content production at Nex. What You'll Do Maintain our Unity build pipeline — Ensure its reliability and adopt new features. Server and tools monitoring — Set up proper monitoring and alerts for crucial components such as our package server and Developer Portal. Automate tools deployment — Adopt best practices for our tools development and deployment. Console configs and operations — Manage dev device firmwares and environments for our developers. Knowledge sharing with other DevOps teams — Stay up to date and grow together. Must Have 3+ years of game development or DevOps experience Experience working with multiple teams / stakeholders Experience working with software involving multiple components / systems. Fierce empathy for fellow developers and other teams involved in game production, such as QA. Should Have An obsession with code and product quality. Experience with tooling and automation. Knowledge of server deployment / maintenance, such as terraform. A growth mindset, always looking for more. Excitement about working in a high-growth, fast-paced environment. Nice to Have Experience with Google Cloud Platform. A love for staying active and healthy, with a passion for helping others do the same. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Требования: — 5+ лет в QA — тестирование мобильных приложений — опыт автоматизации backend/API на Java — уровень английского B1+ О компании: QIC — экосистема цифровых продуктов для Ближнего Востока, включающая страхование и повседневные сервисы: от покупки авто до планирования путешествия. Размер команды — 200-250 человек Рейтинг S&P “A”

ASOS.com — британский онлайн‑ритейлер модной одежды, обуви, аксессуаров и косметики. Размер команды — 1k-5k, инвестиции — £587.5M. Технологии и инструменты: Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Semantic Kernel, LangChain, LangGraph, AutoGen/CrewAI, Python или C#/.NET. Фаундеры компании: Nick Robertson, Andrew Regan, Quentin Griffiths, Deborah Thorpe. В компании работают русскоговорящие сотрудники.

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. PROOF OF WORK   THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Agent Systems team is a 0→1 engineering group building internal AI-powered agents that interact directly with company systems. The mandate is to dramatically increase internal speed of execution through automation, intelligent inference, and workflow orchestration. This team operates at the intersection of AI, backend systems, and applied product engineering. The work is pragmatic and fast-moving — prototypes are expected, but the bar for production reliability remains high. Engineers on this team move fluidly between experimentation and shipping, building systems that reason over user interactions and take meaningful action across internal tools. You’ll work closely with cross-functional partners across product, infrastructure, and internal operations to deploy agent-driven capabilities that compound leverage across the organization.   THE OPPORTUNITY - Build and ship AI-powered agent systems that automate internal workflows and decision paths - Design and implement inference pipelines that reason over user interactions across internal systems - Prototype quickly to validate agent behaviors, then productionize what proves valuable - Architect backend services that integrate with multiple internal APIs and data sources - Define patterns for safe, observable, and controllable agent execution - Collaborate cross-functionally to identify high-leverage automation opportunities - Improve system speed, reliability, and signal quality as usage scales - Contribute to foundational design decisions for a 0→1 agent platform   SKILLS YOU SHOULD HODL - 5+ years of experience building and shipping production software systems - Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability) - Experience building fullstack systems, with comfort working across backend and occasional frontend surfaces - Hands-on experience working with AI/ML systems, LLMs, or inference pipelines in production - Ability to prototype rapidly while maintaining a clear path to production-grade architecture - Strong systems thinking — able to reason about orchestration, failure modes, and observability - Comfort operating in ambiguous, 0→1 environments with high ownership   NICE TO HAVES - Experience building or operating agent-based systems or autonomous workflows - Familiarity with prompt engineering, evaluation frameworks, or model performance tuning - Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.) - Background in building developer platforms or internal tooling - Experience designing guardrails, sandboxing, or safety layers for AI systems Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. PROOF OF WORK   THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients. The Agent Systems team is a 0→1 engineering group building internal AI-powered agents that interact directly with company systems. The mandate is to dramatically increase internal speed of execution through automation, intelligent inference, and workflow orchestration. This team operates at the intersection of AI, backend systems, and applied product engineering. The work is pragmatic and fast-moving — prototypes are expected, but the bar for production reliability remains high. Engineers on this team move fluidly between experimentation and shipping, building systems that reason over user interactions and take meaningful action across internal tools. You’ll work closely with cross-functional partners across product, infrastructure, and internal operations to deploy agent-driven capabilities that compound leverage across the organization.   THE OPPORTUNITY - Build and ship AI-powered agent systems that automate internal workflows and decision paths - Design and implement inference pipelines that reason over user interactions across internal systems - Prototype quickly to validate agent behaviors, then productionize what proves valuable - Architect backend services that integrate with multiple internal APIs and data sources - Define patterns for safe, observable, and controllable agent execution - Collaborate cross-functionally to identify high-leverage automation opportunities - Improve system speed, reliability, and signal quality as usage scales - Contribute to foundational design decisions for a 0→1 agent platform   SKILLS YOU SHOULD HODL - 5+ years of experience building and shipping production software systems - Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability) - Experience building fullstack systems, with comfort working across backend and occasional frontend surfaces - Hands-on experience working with AI/ML systems, LLMs, or inference pipelines in production - Ability to prototype rapidly while maintaining a clear path to production-grade architecture - Strong systems thinking — able to reason about orchestration, failure modes, and observability - Comfort operating in ambiguous, 0→1 environments with high ownership   NICE TO HAVES - Experience building or operating agent-based systems or autonomous workflows - Familiarity with prompt engineering, evaluation frameworks, or model performance tuning - Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.) - Background in building developer platforms or internal tooling - Experience designing guardrails, sandboxing, or safety layers for AI systems       Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Про нас: В нашей ML-команде сейчас 5 человек. Мы работаем над: • AI-агентом для работы с облачным хранилищем и документами; • сервисом извлечения данных из контрактов и счетов; • RAG-базой знаний по Fileforce для клиентов; • системой поиска аномалий в пользовательских логах. В разработке активно используем современные AI-инструменты и кодинговые агенты (Claude Code, Codex) Задачи: • Разрабатывать новые и поддерживать/улучшать существующие проекты (backend+ML+участие в деплое), а также улучшать мониторинг и аналитику запущенных проектов Требования: • высшее техническое образование (диплом потребуется для оформления японской рабочей визы) • 3+ года опыта в Machine Learning; • опыт самостоятельного ведения проектов; • опыт с agentic/RAG-системами будет большим плюсом; • опыт разработки с помощью кодинговых агентов; • интерес к новым AI-технологиям и готовность постоянно разбираться в новых подходах; • английский на уровне свободного чтения технической документации • релевантный опыт с частью стека и способность быстро осваивать новое: LangGraph, DeepAgents, FastAPI, PostgreSQL, ClickHouse, Docker, vLLM, OpenAI API, AWS S3, Langfuse, OpenTelemetry, MCP, Redis, AWS SQS. Ответы на 10 важных вопросов: 1. Данные: работа преимущественно с данными (файлами различных форматов) компаний из хранилища через внутреннее API, AWS S3, Elasticsearch 2. Железо: на текущий момент преимущественно AWS инфраструктура, аренда VM под проекты и доступ к моделям по API. При экономической эффективности - собственное развертывание. Для работы: ПК в офисе, подключение к AWS VM по ssh, простой ноутбук для удаленной работы 3. Масштаб влияния на core-бизнес? Сейчас в компании упор на ML проекты, поскольку наша команда отвечает за все ML проекты, то влияние и высокие ожидания от проектов у руководства. 4. Уровень развития Data Science в компании? Запущено несколько крупных проектов, настроена основная инфраструктура/пайплайны (разработка, интеграция с внутренними сервисами, мониторинг, базовая аналитика, практика работы с кодинговыми агентами и тд), при этом улучшение процессов и вовлечения ML проектов в процессы компании продолжается. 5. Роль дата сайентиста: ДС-ы участвуют в проработке и реализации полного цикла проектов/фичей совместно с бэкенд и фронтенд командами 6. Бэкграунд у вашего руководителя? linkedin https://www.linkedin.com/in/nikita-vasilenko-ds/ 7. Как часто вам будут мешать работать? Daily meetings 15-20 мин + обсуждения прогресса/фичей внутри команды по мере необходимости 8. Карьерный рост: рост по зп возможен в рамках ежегодного планирования бюджета 9. Prod/Research: Prod 90% 10. Функция сервиса или лидера? На данном этапе сервисных функций больше.

Softnetix — белорусская IT-компания, разрабатывающая программное обеспечение для спортивной аналитики, iGaming и гемблинга. Офис в Минске или Варшаве.

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Canada, the Base compensation range for this role is $ 164,490 - $197,389. 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 remote opportunity, and we would be interested in applicants located in the US or Canada. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with distributed systems, catalogs and table formats, query engines. Mastery of a programming language like golang, C++, or Rust Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building distributed query engines. Experience building data warehouses and/or data lakes. Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the US, the Base compensation range for this role is $ 154,445 - $185,334. 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 .

Стажёр-тестировщик в команду центрального продукта мониторинга, журналирования и логирования крупного банка. Задачи: — Ручное тестирование веб‑интерфейса: проверка форм, кнопок, фильтров, навигации и адаптивной вёрстки — Составление тест‑кейсов — Регрессионное тестирование после обновлений продукта — Воспроизведение багов и оформление баг‑репортов в SberTrack — Построение дашбордов в Grafana — Написание простых и средних по сложности SELECT‑запросов для проверки данных — Логирование расхождений между UI и данными в базе — Просмотр логов и простые JOIN‑запросы Требования: — Студенты очных отделений последних курсов вузов Владивостока — Теория тестирования — Знание этапов жизненного цикла ПО и багов — Типы и уровни тестирования, техники тестирования — Умение составлять тест‑кейсы и чек‑листы — Понимание структуры баг‑репорта — Базовые знания SQL — Опыт работы с Postman/Insomnia Условия: — Работа по адресу: ул. Фонтанная 18 (Владивосток) — График 5/2 с 9:00 до 18:00; возможен гибрид 3/2 или 2/3 либо работа в офисе — Оплачиваемая стажировка 3–6 месяцев с гибким графиком (20–40 часов) — Стабильный оклад и социальная поддержка — Официальное оформление с первого дня — Корпоративное обучение за счёт компании

Компания StellarTech — международная быстрорастущая IT-компания, создающая подписные мобильные приложения в EdTech. Команда Platform разрабатывает собственную платформу компании: веб-фаннелы, платежи, подписки и интеграции с внешними сервисами, на которой работают все продукты. Задачи: — Тестировать новые функции end-to-end во время разработки: фронтенд, бэкенд, API и интеграции с третьими сторонами — Проводить регрессионное тестирование перед релизами и дымовое тестирование на продакшене после каждого релиза — Валидировать бизнес и технические требования с командами Product и Engineering до начала разработки — Исследовать дефекты с помощью логов, ответов API и сетевого трафика, писать чёткие и воспроизводимые баг-репорты — Быть первой линией поддержки для запросов от Monetization, Finance и Product Tech: воспроизводить проблему, оценивать серьёзность и эскалировать с фактами — Поддерживать тестовую документацию в TestRail, Jira и Confluence — Сотрудничать с командой автоматизации QA для выбора кейсов для автоматизации Требования: — Опыт ручного тестирования веб-приложений (фронтенд, бэкенд, API) не менее 4 лет — Проектирование тестов на основе оценки рисков: умение объяснить, что тестируется, что нет и почему — Тестирование API с использованием Postman, Charles и Swagger/OpenAPI — Исследование корневых причин с помощью Chrome DevTools (HAR, сеть, хранилище) и логов — Опыт полного цикла релизов: функциональное, регрессионное и дымовое тестирование — Использование AI-инструментов (Claude, Cursor или аналогичных) в ежедневной работе QA с критической оценкой их результатов — Опыт работы в продуктовой компании или стартапе с частыми релизами — Хорошее письменное владение английским для документации и баг-репортов — Ответственность и прозрачная коммуникация: своевременное уведомление о рисках и задержках Желательно: — Тестирование платежей и подписок (Chargebee, Adapty, Payrails, trials, налоги, Apple Pay / Google Pay) — Веб-фаннелы и A/B тесты — Валидация аналитических событий (Google Analytics, Meta Pixel, GTM dataLayer) — Опыт работы с Datadog и Grafana — Тестирование AI-функций — Базовые знания Playwright и TypeScript Условия: — Работа над платформой, определяющей скорость роста подписного бизнеса — Компания с AI-ориентированным подходом, AI интегрируется в работу компании глубоко, не только для генерации тест-кейсов — Отсутствие микроменеджмента, высокие инженерные стандарты — Полностью удалённая работа — Процесс найма: скрининг рекрутера → техническое интервью с менеджером и QA инженером → финальное интервью — Процесс найма занимает около 1-2 недель

Должность: Backend Engineer (Go) Стек: Go, PostgreSQL, gRPC/REST, Kafka, микросервисы Требования: — 3+ года коммерческой разработки на Go Как у нас устроена работа: — Работаем по Scrum (без фанатизма) — Важно качество, допускаются итеративные улучшения и обучение Продукт работает на разных рынках (Казахстан, Мексика, Индонезия, Египет, Марокко, Пакистан и другие)

Грейд: Senior Команда AIFA ищет Senior Python инженера. Стек: Python, Microservices, Distributed Systems, API, Message Queues, Caching, Databases, Load Balancing Сбер Банк — крупнейший российский финансовый конгломерат, предоставляющий широкий спектр банковских услуг для частных лиц, малого бизнеса и корпоративных клиентов.

Задачи: — Проводить ручное тестирование web- и mobile-приложений — Создавать и поддерживать автотесты для backend и frontend — Интегрировать автотесты в CI/CD и анализировать результаты их запусков — Разбирать причины падения автотестов и находить дефекты — Взаимодействовать с разработчиками и другими участниками команды на всех этапах разработки — Участвовать в подготовке тестовой документации и поддержании качества продукта — Помогать развивать автоматизацию и улучшать процессы тестирования Требования: — От 3 лет опыта в ручном тестировании — От 2 лет опыта с автоматизацией тестирования — Уверенное знание Python — Опыт автоматизации backend и frontend — Опыт интеграции автотестов в CI/CD — Опыт тестирования мобильных приложений — Понимание принципов построения и поддержки автотестов — Умение анализировать результаты тестовых запусков и локализовывать причины проблем — Готовность много взаимодействовать с разработчиками и командой Условия: — Работа в современном офисе в Лимасоле (15 минут от моря) — High-load продукт и сильная команда профессионалов — Возможность развиваться в направлении QA Automation — Гибкое начало рабочего дня — 22 рабочих дня отпуска — Обеды, снеки, компенсация спорта — Курсы английского и греческого — Корпоративные мероприятия, спорт и активное комьюнити