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Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the US and Canada. The Opportunity: Grafana Enterprise is our composable observability platform focused on large-scale operators with security and regulatory requirements who need to self-operate their observability solutions. Grafana Enterprise features are also part of our Grafana Cloud service. Grafana Cloud is an integrated suite of observability applications offered as a service. It allows our customers to leverage the best open source observability software, including Prometheus, Mimir, Loki, and Tempo,  without the overhead of installing, maintaining, and scaling their own observability stack. The Grafana Enterprise team is a diverse team of expert technologists working remotely from around the globe. The team focuses on innovative solutions to large-scale customer challenges and developing solutions that improve security, robustness, flexibility, multitenancy, and interoperability on behalf of our customers. We work across the larger Grafana Labs organisation and directly with external customers, including major cloud service providers and global enterprises running observability and build infrastructure at massive scale, to solve their most demanding distributed systems challenges. Our customers include software engineers, site reliability engineers, and platform operators at medium, large, and global enterprises. As a company we are remote-only and global; we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our meetings tend to happen between 14:00 and 17:00 UTC, but we are flexible and responsive to the needs of our engineers and our customers. We measure ourselves by our openness, helpfulness, and our shared successes. We are looking for experienced software engineers who are passionate about distributed systems and building reliable, scalable backend infrastructure to join our growing team. Our backend is Go, and we build tools for people operating some of the world's largest observability and software delivery stacks. Backend Engineers at Grafana also contribute to open source communities. What You’ll Be Doing: Earning the trust of our large-scale operator customers to further Grafana's "big tent" philosophy of data accessibility and to meet clear business objectives Designing and leading the development of backend services, distributed systems, and enterprise features at scale Driving continuous improvement of our engineering culture through words and actions Driving projects from initial ideation through the development lifecycle to production Contributing to the scalability, reliability, security, and multi-tenancy of the Grafana platform trusted by some of the world's largest operators Owning the operational health of our platform by participating in weekday 12h x 5d and separate weekend 24h x 2d on-call rotations. (Yes, we prioritize ops load reduction.) Hiring and developing the best engineers to build the future of Grafana Developing your skills as a thought leader to drive continuous improvement of engineering and operational practices across Grafana Labs As we are remote-first, we provide guidance and meet regularly using video calls, so strong teamwork and excellent written and interpersonal communication skills are a must. 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 paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro). What Makes You a Great Fit: You work well as a communicative member of a team of engineering professionals. You earn trust by saying what you mean and doing what you say. You are customer focused and especially attuned to the needs of large-scale operators who rely on Grafana as critical infrastructure. You start with their needs and work backwards. You insist on the highest standards and work to develop the skills and knowledge of your fellow team members. You take on complex distributed systems challenges, break them down into digestible problems, and leverage your team and organization to deliver. You design modular solutions, deliver minimum loveable products, gather data and feedback, and then progress iteratively. What will you be doing? (Role specifics) As a Staff Backend Engineer, you will design and build the backend systems powering Grafana Enterprise — the platform trusted by the world's largest operators to run their observability and software delivery infrastructure. Hiring and developing the best engineers we can to deliver the future of Observability. Architecting and implementing distributed backend services in Go, with a focus on correctness, observability, and performance at scale Designing APIs and service contracts used by thousands of enterprise operators and cloud service providers Collaborating with Product and UX to shape features and partnering with frontend engineers to ship complete, end-to-end solutions Driving scalability and reliability improvements that matter to large-scale operators running Grafana in regulated, high-availability environments Engaging directly with large enterprise customers and cloud service providers to understand their requirements and translate them into robust engineering solutions Advocating for our customers at every stage of the development lifecycle What technical competencies are we looking for? Deep professional experience writing production services, from ideation through to production operations at scale Strong distributed systems fundamentals: replication, consistency models, partitioning, fault tolerance, and the trade-offs that come with operating at scale Demonstrated experience designing and operating systems for large-scale, high-traffic, high-availability, or multi-tenant environments, ideally in the context of infrastructure, observability, or software delivery platforms Professional experience building and consuming gRPC/protobuf APIs and designing clean service contracts across service boundaries Strong database skills, such as PostgreSQL and/or MySQL; including schema design, query optimisation, and schema migrations at scale Experience with large-scale CI/CD systems and build tooling, designing, operating, or integrating with continuous delivery pipelines that serve large engineering organisations or external operators at scale Comfort working with Kubernetes and containerised deployment environments, including patterns for operating stateful workloads and multi-tenant clusters Experience with observability tooling: OpenTelemetry, Prometheus metrics, structured logging, and distributed tracing Familiarity with dependency injection patterns (e.g., Google Wire) and clean, testable service architecture What are your "nice to have" technical competencies? Experience with TypeScript and React for contributing to frontend features and collaborating closely with frontend engineers Experience with Grafana's LGTM+ observability stack (Loki, Mimir, Tempo, Pyroscope, Alloy) Prior experience at or building for large-scale cloud service providers, IaaS providers, or global enterprises with demanding SLA requirements Experience designing or operating large-scale build infrastructure artifact registries, distributed build caches, hermetic build systems (e.g., Bazel), or developer platform tooling In Canada, the compensation range for this role is $186,368 - $223,642 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 .

Responsibilities: — Consolidate and improve the existing design system by auditing it, identifying gaps and inconsistencies, and structuring components, patterns, and design principles coherently. — Ensure consistency across the product by making UI components and interactions follow unified patterns. — Collaborate closely with Product Managers and Frontend Engineers to align priorities, discuss implementation constraints, and promote effective adoption of the design system. — Drive design system adoption by establishing clear guidelines and documentation. — Design new product features by translating user needs and business requirements into intuitive, high-quality experiences. — Contribute to product decisions by providing a design perspective, challenging assumptions, and shaping the product experience. Requirements: — 3–7 years of experience in UI/UX, Product Design, or similar roles. — Hands-on experience building or consolidating a design system, either creating one from scratch or improving an existing one for structure, consistency, and scalability. — Strong cross-functional collaboration skills, especially with Product Managers and Frontend Engineers. — Practical mindset understanding that a design system must work effectively for both the product and the development team. — Strong UI and interaction design skills with attention to detail and consistency. — Product thinking balancing user needs, business goals, technical constraints, and design quality. — Experience in startups or larger organizations, with emphasis on ownership and experience with design systems. — English proficiency at B2 level or above for effective professional communication. Nice to have: — Experience maintaining and evolving a design system used across multiple teams or product areas. — Experience establishing design system documentation, governance, and contribution processes. — Familiarity with component libraries and design-to-development workflows. — Experience working closely with frontend teams on component implementation and design QA. Benefits: — Fully remote work from anywhere. — 21 days of paid annual leave and 10 days of paid sick leave. — Ownership and autonomy in work, with real impact on the product and its evolution.

Location: Tbilisi, Georgia; Limassol, Cyprus Workplace: hybrid TradingView is the world’s largest financial analysis platform with more than 100M users across 180+ countries. We build tools that help traders and investors make informed decisions — from advanced charting and market data to collaboration and publishing features. Our products are used daily by millions of individuals and trusted by companies like Revolut, Binance, and CME Group. We’re continuing to grow and scale our platform, and we’re looking for people who care about product quality, take ownership of their work, and want to build systems used by a global audience. About the team We're building a Master/Reference Data Management platform and looking for a strong Analytics Engineer to own its transformation core and semantic layer. The near-term goals are to cut the time-to-market of delivering new data to our 2M+ users by around 7x and to guarantee high-quality data across all TradingView services. We're looking for an Analytics Engineer to join the team building this platform. You will own the dbt project and the transformation layer. Your decisions will shape the canonical data model and the Gold layer the rest of the company builds on. Responsibilities Own the dbt project end to end, including transformations across all layers, reusable macros, and shared modeling rules Consolidate scattered and legacy transformations into unified, standardized pipelines Enable and expand dbt tests, and implement data quality checks across the Silver and Gold layers Design and implement golden-record determination and conflict resolution strategies for master and reference data Build and own the canonical data model, the semantic (Gold) layer, and the data catalog Define and enforce transformation standards and conventions for everyone consuming Gold, so that analysts, ops, and domain teams can self-serve Deliver data from Gold to end consumers, including integration to the frontend through internal systems What makes you the perfect fit 4 to 6 years of experience as an Analytics Engineer or Data Engineer Expert-level dbt, covering modeling, reusable macros, tests, project structure and conventions, with hands-on experience across different data sources such as RDBMS and S3 SQL as a native language, including query optimization from both the query side and the engine side, so indexes, partitions, and data layout Deep hands-on experience with data quality tooling such as dbt tests, great expectations, or soda Experience designing canonical and semantic layers, and dimensional modeling Deep knowledge of database modeling patterns Experience with master and reference data management and golden-record logic Ability to translate logic from Go, Python, or any other language into SQL Will be a plus Experience owning a key component of a mature data platform Exposure to market data or fintech What we offer you Flexible working hours and a hybrid work format Well-equipped offices for focused and collaborative work A global, distributed team of 500+ professionals Learning, mentorship, and long-term career growth Relocation support and private health insurance Performance-based bonuses TradingView Premium access Regular team events and company-wide meetups Join the TradingView team and help us build a product used by millions of traders and investors worldwide. We look forward to hearing from you! TradingView is an equal opportunity employer. We embrace diversity and are dedicated to fostering a diverse and inclusive workplace. Our success is driven by 600+ professionals from 40+ countries who speak nearly 20 languages.

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 from US and Canada only (EST time zone). The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. 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. What makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In US, the base compensation range for this role is USD $167,000 - $209,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Responsibilities: — Develop smart contracts and blockchain solutions focusing on Ethereum, EVM-compatible chains including Arbitrum and other Layer 2 networks. — Work on DeFi projects involving AMM logic, decentralized trading and settlement mechanisms, pricing mechanisms, and oracle integrations. — Utilize tools such as Foundry and Hardhat for smart contract development and testing. — Optimize gas usage and ensure security of smart contracts. Bonus skills: — Experience with prediction markets, decentralized exchanges (DEX), smart contract audits. — Frontend experience with React and Web3 integration. — Experience taking blockchain products from prototype to MVP and production. Project: Development of a Web3 trading platform, advancing an early-stage prototype to a fully functional MVP. Requirements: — Minimum 5 years of experience in blockchain development. — Strong proficiency in Solidity and smart contract development. — Knowledge of Ethereum, EVM, Arbitrum or other Layer 2 networks. — Experience with smart contract testing, gas optimization, and security best practices. Conditions: — Remote work worldwide. — Contract employment with initial paid contract and potential for long-term cooperation. — English proficiency at B2+ level. — Only freelancers considered; outsourcing and recruiting companies are not accepted.

Задачи: — Менеджмент разработки трёх команд общей численностью более 50 человек, включая backend и frontend разработчиков, аналитиков, QA, девопсов и мобильных разработчиков. — Управление двумя командами software и одной hardware. — Выстраивание процессов разработки в кросс-функциональных командах. — Внедрение искусственного интеллекта в разработку с осознанным подходом, без слепого доверия ИИ агентам. — Решение технических проблем самостоятельно. — Полная свобода в принятии решений по архитектуре, подбору сотрудников, постановке целей и задач. — Влияние на бизнес-стратегию и участие в её формировании. Условия: — Оклад обсуждается. — Годовые бонусы по результатам работы. — Работа в офисе в Астане с испытательным сроком 6 месяцев, далее гибридный формат (4 дня в офисе, 1 день удаленно). — Завтраки, фрукты, кофе и чай за счёт компании. — Компенсация расходов на спорт, медицину, обучение и другие бонусы. Требования: — Опыт управления крупными кросс-функциональными командами. — Знание и понимание внедрения ИИ в процессы разработки. — Готовность активно участвовать в решении технических задач. Технологический стек по продуктам: Продукт 1: — Фронтенд: TypeScript, NgRx, Angular, Nx, Storybook — Бэкенд: Java, Spring Framework, Hibernate, Kafka — DevOps: Kubernetes, GitLab CI, IaC, Debezium (CDC), Elasticsearch, Logstash, Kibana, Kafka Mirror — Базы данных: PostgreSQL — QA: TestRail, Postman, AllureTestOps — Экосистема: YouTrack, Confluence, Nextcloud Продукт 2: — Бэкенд: Java, Spring Framework, Apache Kafka — Фронтенд: TypeScript, React, React Native — QA: Allure Framework, Postman, Apache JMeter — Хранилище: PostgreSQL, MinIO, Redis, Elasticsearch — DevOps: Kubernetes, Rancher, Logstash, Kibana, Grafana, Prometheus Продукт 3: — Язык программирования: C# (.NET) — Клиент: WPF — Базы данных: PostgreSQL — Реал-тайм: SignalR

Location: Москва Команда СФС (Справочник филиальной сети) отвечает за централизованное управление данными обо всех отделениях банка, включая режимы работы, контактную информацию и геолокацию. Система является критическим источником данных для десятков внутренних и внешних потребителей. Обязанности * проектирование и разработка бэкенда автоматизированной банковской системы, включая создание прототипов для валидации технических и бизнес-гипотез * проектирование API (REST/gRPC/OpenAPI) для обеспечения надежного взаимодействия фронтенд- и бэкенд-компонентов * планирование и декомпозиция задач: оценка трудоемкости, приоритизация в рамках спринтов * разработка архитектурных решений: выбор технологического стека, построение логических и физических моделей данных * проведение Code Review с акцентом на поддерживаемость, производительность и соблюдение внутренних стандартов качества * интеграция LLM и построение пайплайнов для автоматизации принятия решений; участие в исследовании и пилотировании AI-инструментов для оптимизации внутренних процессов. Требования * опыт коммерческой разработки на Java, Spring framework от 3-х лет * отличное понимание принципов разработки ПО и паттернов программирования, алгоритмов, структур данных * понимание смежных областей (БД, DevOps, Frontend, сети) * опыт работы с инструментами DevOps (Jenkins, Gradle и пр.) ### Будет плюсом: * JPA/JDBC/Hibernate/MyBatis * Kafka, IBM MQ, IBM MB * Linux, \*nix, PostgreSQL * методологии и фреймворки разработки ПО (Agile, Scrum, Kanban и др.) Условия * формат работы: офис на время адаптации и далее гибрид (2–3 дня в неделю в офисе) * 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 * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендации друзей в команду Сбера.

• Использовать AI-инструменты для разработки (Cursor/Copilot/ClaudeCode и аналоги) ежедневно для ускорения разработки, рефакторинга и генерации тестов — при этом проверяя результат и поддерживая чистоту кода.

Требования: — Опыт коммерческой разработки от 3 лет — Уверенное владение Java, REST API, SQL и Git — Опыт работы с современными frontend-технологиями — Понимание архитектуры frontend и backend О компании: Jana Post развивает новое направление.

Location: Москва Workplace: гибкий Одноклассники — это крупнейшая развлекательная социальная сеть в России. Недавно у нас было масштабное обновление: теперь ОК — это территория увлечений. Здесь можно найти много классного и качественного контента, посвящённого даже очень редкому хобби. А ещё ОК — это команда, получающая искренние эмоции и удовольствие от бренда, контента и цифровых технологий с 2006 года. Пул задач в ОК шире, чем в большинстве проектов. Это классный драйвер для изучения топовых технологий, подходов и решений в реальных условиях. Сейчас мы ищем Backend-разработчика в платформенную команду данных и интеграций. Команда занимается разработкой высоконагруженных сервисов общей инфраструктуры, таких как балансировщики, очереди сообщений, хранилища данных и интеграционные шлюзы. Наш стек: Java 8-17 включительно, Spring (DI Framework), Cassandra (и хранилища, построенные на её основе), SQL, Kafka, Git Gradle, Junit, Mockito. Задачи Настраивать и дорабатывать общие инфраструктурные компоненты всего продукта, рефакторить и оптимизировать архитектуру Повышать отказоустойчивость и надёжность общих компонентов, участвовать в выборе новых решений и модернизации существующих Проводить code review коллег, писать unit-тесты на свой код Требования Занимались разработкой на Java не менее пяти лет Имеете опыт разработки многопоточных приложений Уверенно знаете классические алгоритмы и структуры данных Имеете опыт работы с распределёнными системами Работали с NoSQL и SQL базами данных Будет плюсом Работа с middleware-компонентами между backend- и frontend-частями (авторизация, gateway, балансировка, статика, кеши) Опыт георезервирования хранилищ данных

Location: Remote Workplace: Remote ABOUT INJECTIVE LABS Injective Labs is trailblazing a new dawn for Web3 enabled finance. We are the core contributors to Injective, one of the fastest growing blockchains in the industry. Injective provides an interoperable smart contracts platform that is optimized for building decentralized finance applications. Interoperability is at the core of Injective, which is natively integrated with chains such as Ethereum, Cosmos and Solana. Developers can rapidly launch premier financial applications suited for mass adoption using Injective’s infrastructure and specialized DeFi primitives such as the world’s first fully on-chain order book. Our team has decades of experience spearheading the largest financial institutions and tech organizations. Injective is incubated by Binance and is backed by leading firms such as Jump Crypto, Pantera and Mark Cuban. ABOUT THE ROLE We are looking for an accomplished Golang/Blockchain Engineer who is able to fit into an existing highly-skilled global dev team. RESPONSIBILITIES: - Build, maintain and test core components on our Cosmos-SDK protocol including our decentralized orderbook, trade execution coordinator, order matcher, and Layer-2 execution environment. - Write open-source Golang clients that allow users to interact directly with our protocol and smart contracts. - Build high performance REST & WebSocket APIs to power our exchange frontend as well as programmatic traders WHO YOU ARE: - Worked on at least two production Golang codebases that are reasonably large and performant - Familiar with Geth or Erigon - Strong knowledge of Go idioms and libraries - Strong knowledge of CS fundamentals such as data structures and API design - Strong understanding of blockchain - Ability to communicate technical concepts with other technical and non-technical team members NICE TO HAVE - Experience with Cosmos-SDK/Tendermint - Experience with Ethereum/Solidity (bonus points if you've worked with Layer-2 before!) - Knowledge of financial instruments and markets WHY WORK WITH US? - Competitive salary and INJ token award - Unlimited PTO - Equipment - Home Office Stipend - Flexible working hours - Opportunity to work on cutting-edge blockchain technology in the finance industry - Collaborative team culture with opportunities for professional growth and development - Global team meet ups As an equal opportunity employer we don’t tolerate discrimination or harassment of any kind. Whether that’s 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. We will only contact candidates using emails from the @injectivelabs.org http://injectivelabs.org domain. If you are approached by any other account or domain regarding this position, it was not sent by us. Please stay cautious and report any suspicious communication.

Talablar: — HTML, CSS, JavaScript — React, Vue yoki Angular — Python, Node.js yoki PHP — REST API, SQL, Git — PostgreSQL yoki MySQL — Web xavfsizligi asoslari Vazifalar: — Kompaniya saytlari va web-platformalarini ishlab chiqish — Frontend va backend qismlarini yaratish — API va CRM/ERP tizimlari bilan integratsiya — Telegram botlar va web-servislar bilan ishlash — Ma’lumotlar bazasi, sayt tezligi va xavfsizligini optimallashtirish Qo‘shimcha ustunliklar: Odoo, Django, FastAPI, Docker, Linux, Telegram Bot API va CRM/ERP tajribasi.

Задачи: — Проектирование части сервисов в backend-архитектуре облачной платформы; — Установление стандартов разработки; — Личное участие в разработке ключевых компонентов; — Работа на стыке архитектуры, разработки и продуктовых требований; — Оформление архитектурных артефактов прикладного дизайна компонентов; — Разработка и развитие GraphQL / REST API (high-load, multi-tenant); — Проектирование интеграций (auth, billing, внешние системы); — Обеспечение отказоустойчивости и масштабируемости; — Участие в разработке ключевых компонентов на Node.js / TypeScript / JavaScript / опционально Go; — Формирование стандартов разработки и применение лучших практик в команде; — Контроль выполнения требований технического дизайна в реализации кода компонентов; — Проведение code review (JS/TS, возможно Go); — Взаимодействие с командами Frontend, DevOps, аналитиками, Go-разработчиками и архитекторами решений; — Участие в декомпозиции задач и их техническом формировании. Требования: — Опыт работы на аналогичной должности от 3-х лет; — Опыт коммерческой backend разработки с основным стеком Node.js / TypeScript от 3-х лет; — Обязательный опыт frontend разработки React/JS/TS; — Отличное знание Node.js (Express / Fastify), TypeScript / JavaScript, GraphQL (design, schema, federation), Go; — Опыт работы с брокерами сообщений (NATS, RabbitMQ, Kafka); — Понимание и опыт реализации отказоустойчивости (retry, circuit breaker, idempotency), горизонтального масштабирования, безопасного кода. Будет плюсом: — Опыт разработки кросс-платформенных адаптивных интерфейсов приложений (electron, адаптив); — Опыт работы с Keycloak (OIDC, RBAC, multi-tenant auth); — Опыт проектирования control-plane систем; — Опыт fullstack разработки (frontend + backend); — Понимание основ CI/CD, контейнеризации, опыт с Docker, Linux. Условия: — Стабильный «белый» доход и полноценный социальный пакет; — Гибкое начало дня и гибридный формат работы (обсуждается индивидуально); — Корпоративный университет для внутреннего и внешнего профильного обучения; — Перспективы карьерного роста – горизонтального и вертикального; — Программа ДМС с обслуживанием в лучших клиниках города; — Корпоративные спортивные команды и скидки на фитнес-абонементы; — Программа корпоративных привилегий и скидок Primezone; — Корпоративная мобильная связь. Работа в компании РТК-ЦОД, которая является крупным ИТ сервис-провайдером с крупнейшей в России сетью дата-центров, предоставляющей виртуальную инфраструктуру банкам, ритейлу, промышленным предприятиям и госсектору. Компания реализует масштабные федеральные проекты и разрабатывает облачные решения и ИТ-сервисы.

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. ABOUT THE ROLE We’re looking for a Software Engineer to join our AI Tooling team and help shape how developers and agents build with Supabase. You'll build and own our AI tooling, including agents, the MCP server, agent skills and the dashboard assistant, and as the space moves you'll build the tooling for new technologies too. You'll build it all eval-first: every tool ships with evals and metrics, so we know, with evidence, that it makes agents better rather than worse. You'll work closely with the Docs, CLI, Frontend and SDK teams, and with the AI Tooling Infrastructure engineers who run these services in production. Other teams contribute to AI Tooling to improve Supabase's agentic capabilities, and you'll help them do that while keeping the quality bar high. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. WHAT YOU’LL BE RESPONSIBLE FOR - Build and improve the AI tooling we run today, including the MCP server, agent skills, agents and the Assistant. - Make new Supabase products usable by agents from day one: tools, skills and evals for new product surfaces. Also build tooling for new AI technologies as they emerge: prototype quickly, evaluate honestly, and decide with the team what is worth taking to production. - Drive an eval-first approach: build and improve evals, instrumentation and feedback loops, measure tools against a no-tool baseline, and help define the quality KPIs and gates that stop regressions shipping. - Understand how customers and agents actually use what we ship, and turn that into improvements to our tooling, interfaces and documentation. - Design how documentation and product knowledge are exposed to agents, and measure whether it works. - Build patterns and tools that help customers add AI to their own apps, such as MCP on Edge Functions, vector embeddings and agents running on Edge Functions. - Enable teams to improve Supabase's agentic capabilities through contributions to AI Tooling: clear contribution paths, templates, documentation and review practice. - Centralise shared AI logic so teams reuse it rather than duplicate it. - Ship tools that are battle-tested, with strong tests, benchmarking and stress testing where it counts. - Work with the AI Tooling Infrastructure engineers on reliability, auth and hosting. - Work across Docs, CLI, Frontend, SDK and other teams to deliver one coherent developer experience, and stay close to the fast-moving AI ecosystem. YOU MIGHT BE A GOOD FIT IF YOU MUST HAVE: - Have 5+ years of experience in professional software engineering experience. - Write strong TypeScript and know the JavaScript ecosystem well: npm, ES modules, bundlers, compatibility. - Are deeply familiar with the AI ecosystem: current tools, agent patterns and practical trade-offs. You can tell a durable pattern from hype. - Have built developer tools, product interfaces or platform primitives used by other engineers. - Have designed or used evaluation frameworks to measure AI quality, reliability and task success, and understand baselines, variance and cost. - Have strong judgement about where AI improves workflows and how to avoid fragile or gimmicky experiences. - Write tests and validate reliability in real-world conditions. - Know Postgres and relational database practice. - Communicate clearly in writing, work across product, engineering and docs, and thrive in async, globally distributed teams. - Are comfortable navigating ambiguity and moving quickly. NICE TO HAVE: - Experience with vector databases and embeddings, ideally pgvector. - Examples of customer-facing AI features or agents you've shipped. - Examples of documentation or structured knowledge designed for developers or agents. - Experience with Braintrust or a similar eval and tracing platform, or setting up CI quality gates. - Open-source contributions or developer tooling you've maintained. - Experience across several product surfaces or teams. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Задачи: — Разработка и доработка backend на PHP (Symfony) и frontend на React/TypeScript. — Проектирование и поддержка интеграций по REST API, работа с очередями сообщений RabbitMQ. — Работа с данными в PostgreSQL: структура хранения, оптимизация запросов. — Реализация механизмов автогенерации файлов (отчёты, протоколы, документы) и обработки транзакционных файлов. — Оценка трудоёмкости задач, проектирование решений, написание тестов к своему коду. — Работа по автоматизированному процессу сборки и деплоя на GitLab CI. Требования: — Высшее техническое образование (ИТ, прикладная математика или информатика, радиоэлектроника, физика). — Опыт в ИТ от 3 лет, в том числе за последние 4 года. — Уверенное владение PHP и/или JavaScript/TypeScript, опыт с Symfony и/или React. — Знание PostgreSQL, RabbitMQ, Git, Linux на рабочем уровне, понимание ООП. — Навыки кроссбраузерной и адаптивной вёрстки, если работаете с JavaScript/TypeScript. — Отсутствие административного наказания в виде дисквалификации и конфликта интересов с заказчиком. — Плюсом будет опыт с Zend, написание автотестов, опыт работы с YouTrack. Условия: — Рабочее время по графику заказчика: пн–пт с 9:00 до 18:00 по Москве, обед 13:00–14:00. — Время работы по задачам фиксируется в трекере заказчика, учёт идёт с момента принятия задачи в работу. — Заказчик вправе установить на рабочее оборудование ПО, контролирующее рабочие операции и скорость выполнения задач. — Возможна необходимость присутствия на объектах ИТ-инфраструктуры заказчика и участия во встречах очно или онлайн. — Работа по почасовой модели с прозрачным учётом времени.

Задачи: — Проектирование web-интерфейсов и пользовательских сценариев для широкой целевой аудитории — Участие в развитии дизайн-системы, обеспечение консистентности интерфейсов и соблюдение заданного стиля при разработке UI — Разработка дизайна коммуникационных и продуктовых лендингов — Создание качественных макетов, описание сценариев, состояний элементов и технических свойств для frontend-разработки — Участие в UX-исследованиях, анализ результатов и их учет в макетах — Выполнение базовых задач по подготовке графики (иногда) — Работа в команде с дизайнерами, копирайтерами, исследователями и проджект-менеджерами — Предложение и аргументация идей и вариантов решения поставленных задач, обсуждение их с командой Требования: — Высшее образование — Опыт работы от 3-х лет — Опыт проектирования удобных интерфейсов, проработка пользовательских сценариев и corner-кейсов — Знание базовых методов проведения качественных и количественных исследований — Умение работать с дизайн-системой и библиотеками компонентов, использование готовых стилей и токенов — Знание трендов современного UI/UX дизайна, умение проводить анализ рынка, желание развиваться и расти — Понимание дизайн-процесса, умение проводить этап преданализа, учитывать цели бизнеса и потребности пользователя — Знание принципов и ограничений HTML и CSS — Стремление к порядку в макетах и файлах, аккуратность и внимательность к деталям — Знание и умение применять теорию цвета, типографику, спейсинги и доступность — Умение мыслить системно, находить и применять UI/UX паттерны, задавать вопросы, выявлять проблемы и предлагать решения — Ответственное отношение к дедлайнам и умение быстро работать — Стрессоустойчивость, умение адекватно воспринимать критику и работать в команде с процессом дизайн-ревью — Продвинутое владение Figma: Auto Layout, прототипы, интерактивные компоненты — Опыт работы с Jira или аналогичными инструментами управления задачами Условия: — Оформление согласно ТК РФ — Достойный уровень заработной платы и премии — График работы: 5/2 с 9:15 до 18:00 — Дополнительный социальный пакет: телемедицина, полис для выезжающих за рубеж, страхование от несчастных случаев и рисковых заболеваний, доплата по больничным листам до 20 дней в году, частичная компенсация затрат на покупку путевок в летний детский лагерь — Комфортный офис в центре с тренажерным и спортивным залами, лаунж-зоной, микромаркетами, кухнями с чаем, кофе и снеками на каждом этаже

Задачи: — Проводить code review решений коллег и изменений, сделанных ИИ-агентами, объяснять замечания и показывать, как сделать лучше. — Вводить в работу новых участников команды, включая стек, архитектуру проектов, принятые практики и приемы работы с ИИ-агентами. — Быть наставником для коллег, в том числе нетехнических, консультировать по архитектуре и коду, разбирать их решения и готовить примеры. — Выбирать стек, библиотеки и веб-фреймворки для Python и JavaScript с учетом требований, нагрузки, масштабирования и удобства сопровождения. — Проектировать frontend и backend: REST API, модели данных, аутентификацию и авторизацию, интеграции. — Декомпозировать задачи для ИИ-агентов, задавать технический контекст и критерии готовности, проверять изменения в Git. — Вести debugging и рефакторинг, организовывать unit-, интеграционные и end-to-end тесты. — Создавать переиспользуемые компоненты, шаблоны приложений и API-интеграции для разных компаний. Требования: — Желание регулярно заниматься code review, онбордингом и наставничеством. — Умение объяснять технические решения простым языком, в том числе коллегам без опыта разработки. — Готовность работать в офисе в Москве (м. Курская) минимум 4 дня в неделю. — Базовое понимание ИИ, включая общее представление о работе LLM, промптах, контекстном окне, ошибках моделей и их проверке. — Опыт использования ИИ-инструментов в работе, таких как чат-ассистенты, ассистенты в IDE или coding agents. — Опыт fullstack-разработки и запуска веб-приложений в production. — Уверенное владение Python и JavaScript, опыт разработки backend и frontend. — Знание HTML/CSS, веб-фреймворков и клиент-серверной архитектуры. — Практические навыки REST API, HTTP, SQL, Git, Docker и автоматизированного тестирования. — Понимание проектирования API и баз данных, прав доступа, обработки ошибок и логирования. — Умение проводить рефакторинг, разбирать зависимости и находить причины ошибок. Дополнительные преимущества: — Опыт в роли техлида, тимлида или ментора. — Углубленное знание LLM (embeddings, RAG) и опыт настройки coding agents. — Знание архитектуры корпоративных ИТ-систем и интеграций. — Знание .NET. Условия: — Работа в офисе в Москве, м. Курская, минимум 4 дня в неделю. — Реальные задачи разных бизнесов, участие в выборе технологий, роль наставника в команде и совместная работа с аналитиками, преподавателем и специалистами по инфраструктуре. Для отклика необходимо прислать резюме, при наличии портфолио или ссылок на проекты добавить их к отклику, а также в сопроводительном письме ответить на вопросы о опыте code review, онбординга или наставничества, используемых ИИ-инструментах и готовности работать в офисе.

Проектирование и разработка скриптов и библиотек на TypeScript; Участие в проектировании и улучшении общесистемного функционала;