Вакансии

Задачи: — Разрабатывать backend-сервисы на Golang. — Создавать и поддерживать интеграции между внутренними сервисами и CRM-платформой. — Развивать событийную архитектуру и проектировать обмен данными между микросервисами. — Оптимизировать взаимодействие сервисов и участвовать в развитии технической архитектуры команды. Требования: — От 5 лет коммерческой разработки и уверенный опыт с Golang. — Практический опыт разработки микросервисов с использованием PostgreSQL, Kafka и HTTP/gRPC. — Понимание принципов построения асинхронных распределенных систем и интеграционных решений. — Опыт реализации надежной обработки сообщений (DLQ, Inbox/Outbox или аналогичные паттерны). — Будет преимуществом опыт работы с NATS, Tarantool или маркетинговыми CRM-платформами. Условия: — Полная занятость. — Долгосрочный проект в крупной продуктовой компании.

Location: Ontario, Canada; Toronto, Ontario, Canada Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365. To learn more, visit www.mattermost.com We are seeking a Senior Full Stack Engineer to help build and scale Mattermost's core web platform for teams operating in defense and critical infrastructure sectors. You will contribute across our Go backend and React/TypeScript web frontend, building features that hold up under strict security, compliance, and reliability requirements. Our engineering culture is AI-forward. We expect engineers to work fluently with AI coding agents such as Claude Code day-to-day — for scaffolding, refactors, code review, and test generation — and treat that as core craft rather than a shortcut. We would rather hire smart people who get stuff done than chase an exact tech-stack match. If you have a track record of shipping and owning complex software end-to-end, we want to hear from you. What You Will Do Architect and build full-stack features optimized for scalability and performance across Go, React, TypeScript, PostgreSQL, and Redis Leverage AI coding agents such as Claude Code and Cursor as a core part of your daily workflow while retaining full accountability for correctness, security, and design decisions Develop internal tooling and testing infrastructure to speed up the team's delivery, including agentic workflows and skills that make AI tooling more effective for the broader team Own testing strategy across frontend and backend code you ship Design and consume REST and WebSocket APIs with solid networking fundamentals Maintain the security and compliance standards required by our government and enterprise clients Contribute to Mattermost's open-source codebase What We Are Looking For Required: Strong full-stack development experience in Go and React, or a comparable stack Experience designing and consuming REST and WebSocket APIs with solid networking fundamentals Relational database experience including PostgreSQL, schema design, and query optimization Hands-on daily fluency directing AI coding agents such as Claude Code, Cursor, or Copilot for scaffolding, refactors, code review, and test generation — with the judgment to know when to trust the output and when to take the wheel yourself Bias toward shipping and owning complex software end-to-end without close supervision Nice to Have: Experience with distributed systems or high-availability service architecture Familiarity with enterprise or regulated-environment security requirements Background in defense, intelligence, or critical infrastructure products Open-source contributions Experience working on distributed or remote-first teams Experience building tools, skills, or workflows on top of AI coding agents including MCP servers, agent skills, or CI-integrated agents How Success Is Measured First 90 Days: Shipping full-stack features on the core platform using an AI-forward agentic development workflow and owning testing strategy across the code you ship. Why Mattermost Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration including the U.S. Department of War and critical infrastructure operators worldwide Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership AI-forward environment: We actively adopt and build AI-enabled workflows. Agentic development is core craft here, not a novelty End-to-end ownership: Ship and own complex software across the full stack with real accountability for what you build Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration Compensation Mattermost takes a market-based approach to pay. Actual compensation may vary based on location, skills, experience, qualifications, and market conditions. Target Salary Range: CAD $162,591–$195,000 Canada Eligibility & Compliance Candidates must be legally authorized to work in Canada without current or future sponsorship. This role may require obtaining and maintaining a government security clearance or equivalent designation (such as Reliability Status or Secret clearance under Canada's Controlled Goods Program), depending on customer engagement. Candidates must meet eligibility requirements to be considered. Given Mattermost's work with U.S. defense and government customers, some positions may also require compliance with U.S. export control laws, including EAR and ITAR, which can apply to non-U.S. based employees working on covered technical data. For more information, visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls. Mattermost is an EEO Employer, we are a remote-first, open-source company. We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time. Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics. If you require accommodations during the interview process, please let us know—we’re happy to assist.

Location: United States Mattermost is the leading collaborative workflow platform for defense, intelligence, security, and critical infrastructure. Trusted by the U.S. Department of War and Fortune 500s, our platform runs on-premises and in private clouds, delivering secure messaging, file sharing, workflow automation, audio/screenshare, and project management—all with full data and operational control. Mattermost powers high-stakes workflows across mission planning, real-time, real-world operations, DevSecOps, incident response, and cyber defense—enabling secure collaboration from tactical edge and DDIL environments to enterprise HQ. Teams operate across web, desktop, and mobile, with embedded interoperability for Microsoft Teams, Outlook, and Microsoft 365. To learn more, visit www.mattermost.com We are seeking a Senior Full Stack Engineer to help build and scale Mattermost's core web platform for teams operating in defense and critical infrastructure sectors. You will contribute across our Go backend and React/TypeScript web frontend, building features that hold up under strict security, compliance, and reliability requirements. Our engineering culture is AI-forward. We expect engineers to work fluently with AI coding agents such as Claude Code day-to-day — for scaffolding, refactors, code review, and test generation — and treat that as core craft rather than a shortcut. We would rather hire smart people who get stuff done than chase an exact tech-stack match. If you have a track record of shipping and owning complex software end-to-end, we want to hear from you. What You Will Do Architect and build full-stack features optimized for scalability and performance across Go, React, TypeScript, PostgreSQL, and Redis Leverage AI coding agents such as Claude Code and Cursor as a core part of your daily workflow while retaining full accountability for correctness, security, and design decisions Develop internal tooling and testing infrastructure to speed up the team's delivery, including agentic workflows and skills that make AI tooling more effective for the broader team Own testing strategy across frontend and backend code you ship Design and consume REST and WebSocket APIs with solid networking fundamentals Maintain the security and compliance standards required by our government and enterprise clients Contribute to Mattermost's open-source codebase What We Are Looking For Required: Strong full-stack development experience in Go and React, or a comparable stack Experience designing and consuming REST and WebSocket APIs with solid networking fundamentals Relational database experience including PostgreSQL, schema design, and query optimization Hands-on daily fluency directing AI coding agents such as Claude Code, Cursor, or Copilot for scaffolding, refactors, code review, and test generation — with the judgment to know when to trust the output and when to take the wheel yourself Bias toward shipping and owning complex software end-to-end without close supervision Nice to Have: Experience with distributed systems or high-availability service architecture Familiarity with enterprise or regulated-environment security requirements Background in defense, intelligence, or critical infrastructure products Open-source contributions Experience working on distributed or remote-first teams Experience building tools, skills, or workflows on top of AI coding agents including MCP servers, agent skills, or CI-integrated agents How Success Is Measured First 90 Days: Shipping full-stack features on the core platform using an AI-forward agentic development workflow and owning testing strategy across the code you ship. Why Mattermost Mission-driven work: Your contributions directly support the organizations and missions that depend on secure, reliable collaboration including the U.S. Department of War and critical infrastructure operators worldwide Remote-first culture: Work from anywhere with a globally distributed, high-trust team built for autonomy and ownership AI-forward environment: We actively adopt and build AI-enabled workflows. Agentic development is core craft here, not a novelty End-to-end ownership: Ship and own complex software across the full stack with real accountability for what you build Open source at the core: Be part of a vibrant developer community shaping the future of secure collaboration Target Salary Range: $142,723- $172,723 Mattermost takes a market-based approach to pay and pay may vary depending on your location. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. Mattermost offers a remote-first work environment with medical, dental, and vision coverage. You’ll also receive unlimited PTO plus company holidays, a work from home stipend, an annual learning and development budget for conferences, certifications, and courses, paid parental leave for all parents, and a 401(k) plan. U.S. Eligibility & Compliance This role may require obtaining and maintaining a U.S. government security clearance. Candidates must meet federal eligibility requirements to be considered. For more information visit Security Clearances — United States Department of State Applicants must meet eligibility requirements for access to export-controlled information as defined by U.S. export control laws, including EAR and ITAR. For more information visit the Bureau of Industry and Security and the Directorate of Defense Trade Controls . Mattermost is an EEO Employer, we are a remote-first, open-source company. We are continually working to expand our hiring in more countries and regions, ensuring compliance with local laws and regulations, which takes time. Mattermost values your unique perspective—we welcome all applicants. We encourage individuals from all backgrounds to apply and are committed to assessing candidates based on their skills and qualifications. We do not tolerate discrimination against staff or applicants based on race, religion, national origin, age, disability, pregnancy status, veteran status, or other personal characteristics. If you require accommodations during the interview process, please let us know—we’re happy to assist.

Задачи: • Разработка и развитие backend-сервисов на Python • Проектирование и реализация микросервисов в Event-Driven архитектуре • Разработка высоконагруженных асинхронных сервисов с использованием AsyncIO • Интеграция сервисов через Kafka и Redis Pub/Sub • Работа с PostgreSQL и оптимизация взаимодействия с базой данных через SQLAlchemy • Проектирование REST API и внутренних сервисных интерфейсов • Написание unit- и интеграционных тестов, обеспечение качества собственного кода • Настройка и поддержка логирования, метрик и трассировки для мониторинга сервисов • Участие в проектировании архитектурных решений и проведении code review • Взаимодействие с аналитиками, DevOps и другими разработчиками при реализации функциональности • Оптимизация производительности, отказоустойчивости и масштабируемости сервисов Требования: ✔️ Коммерческий опыт разработки на Python от 4 лет ✔️ Опыт разработки backend-сервисов на FastAPI или Litestar (Starlite) ✔️ Уверенное владение AsyncIO/concurrency/multiprocessing ✔️ Опыт работы с Kafka ✔️ Опыт использования Redis (желательно Redis Pub/Sub) ✔️ Уверенный опыт работы с PostgreSQL и SQLAlchemy ✔️ Понимание принципов наблюдаемости сервисов и опыт работы с логированием, метриками и трассировкой (Prometheus, Grafana, OpenTelemetry, Jaeger и др.) ✔️ Практический опыт разработки микросервисов ✔️ Опыт работы с Docker, Git, CI/CD ✔️ Опыт работы с Event-Driven системами; преимуществом будет опыт их проектирования и разработки с нуля ✔️ Опыт самостоятельного тестирования собственного кода (pytest или аналогичные инструменты) Будет преимуществом: ✔️ Понимание различных архитектурных подходов помимо Event-Driven ✔️ Опыт проектирования архитектуры сервисов с нуля ✔️ Опыт работы в высоконагруженных распределенных системах ✔️ Опыт использования AI Coding Agents (например, GitHub Copilot, Cursor, Windsurf, Claude Code и др.)

Задачи: — Проектировать и развивать модели компьютерного зрения и видеоаналитики (детекция, трекинг, распознавание лиц, анализ поведения); — Интегрировать ML-модели в production (backend, edge); — Обучать и дообучать модели (fine-tuning, transfer learning); — Работать над реальными AI-проектами с бизнес-применением; — Сопровождать полный цикл разработки: от исследования до деплоя; — Оптимизировать модели и повышать качество CV-решений. Требования: — Уверенные знания Computer Vision и современных DL-подходов; — Глубокое понимание машинного обучения и нейронных сетей (CNN, detection/segmentation); — Уверенное владение Python; — Опыт работы с OpenCV, NumPy, PyTorch и/или TensorFlow; — Опыт работы с Git; — Опыт оптимизации моделей (speed/accuracy trade-offs, inference); — Опыт решения задач детекции, трекинга и анализа поведения людей. Условия: — Формат работы: офис, Астана.

RELOCATION TO GERMANY adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we’ve become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Architecting Intelligence to Optimize 200M+ Daily Decisions As the intelligence core of our engineering organization, our Data Science team doesn’t just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time. Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren’t just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange. Engineered for performance, our stack leverages Tensorflow and PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem. The data infrastructure behind this runs at real scale: 2TB ingested in real time every day, 100+ Airflow jobs and data pipelines, and ML models handling p99 latency of 100ms across 100,000+ predictions per second. As a Data Engineer on this team – you’ll be building and maintaining the infrastructure that makes them possible: the Feature Store, the data pipelines, the data quality systems, and the data architecture that data scientists depend on to move fast. Your Mission & Who We Are Looking For: Data engineering at ML scale. You have 5+ years in data engineering on a modern stack, with proven experience handling systems that process several TB of data per day and thousands of events per second. Flink is your default for real-time. You have hands-on experience with Apache Flink for stateful stream processing and real-time feature computation. You’ll translate Data Science requirements into high-performance streams, enable Data Scientists to contribute new features and implement features yourself when needed. Pipeline bottlenecks don’t survive long around you. You know how to identify and eliminate inefficiencies in complex ETL jobs, whether handling high-volume batch processing or real-time streaming systems like Kafka. At adjoe, data velocity is critical: slow pipelines directly impact model freshness and prediction quality at sub-100ms inference. You think in layers, not tables. You move beyond raw data to design robust, multi-layered data architectures using dbt, and can reason confidently about storage formats, Data Lakehouse models, and what belongs where in a 1PB+ data lake. Familiarity with Medallion Architecture is a strong plus. The bridge between Data Science and Backend. You’ve worked closely with Data Scientists on online ML systems with low latency requirements, and understand what it takes to make experimental research production-ready. Strong Java required; Go or Python a plus. Owns quality, not just delivery. You implement data validation, monitoring, and governance processes in production, because in a system where model inputs directly drive advertiser ROI, data integrity isn’t optional. Experience with Airflow, Kubeflow, AWS, Terraform, and Kubernetes is a strong plus. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. Go Big. Own projects with impact on 770M users and push adtech boundaries. Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. Be Direct. Solve problems openly and collaborate across teams. Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.

About the company: Plurio builds AI agents for performance marketing, automating analysis and optimization for media buying teams managing $300K–$15M/month on Google, Meta, and TikTok. Their AI agents handle budget allocation, creative management, and automation rules based on historical data and ML models, managing over $500M/year in ad spend. The Role: The Senior Marketing Analyst owns marketing attribution and measurement, ensuring trustworthy and explainable performance metrics across channels with complex attribution models (first/last/multi-touch, custom windows, LTV-driven funnels). Responsibilities include cross-channel and funnel analysis integrating paid media, on-site behavior, CRM, and backend revenue to diagnose funnel leaks and unit economics issues. The role requires deep understanding of paid-channel analytics on Meta and Google platforms to inform reallocation and optimization decisions. The analyst builds AI-driven analytical workflows using AI agents (Claude Code, Cursor, Codex) to automate data preparation and analysis, designs repeatable pipelines, and creates clear dashboards and reports (Power BI, Looker, Tableau) with real-time anomaly detection. The analyst collaborates with product, data, and engineering teams to align analytical models with product development. Requirements: Excellent SQL skills with ability to write, debug, and optimize complex queries and teach AI agents to do so. Proven experience in marketing analytics and performance marketing, including attribution and management of Meta and Google Ads. Hands-on experience with AI coding agents to build workflows and automations. Systemic thinking focused on repeatable pipelines and automated analysis. Proficiency with Git for version control of queries and workflows. Strong communication skills to translate data into actionable decisions. Professional-level English and reliable overlap with US business hours. Preferred: Python for analysis beyond SQL, experience with dbt, modern data warehouses (BigQuery, Snowflake), ETL/pipeline work, web/measurement tools (GA4, GTM, server-side tracking), experience with complex funnels and LTV-driven models in sectors like EdTech, FinTech, Consumer Apps, B2C SaaS, Healthcare, Home Services. Independent project ownership and public samples of work. Red Flags: Creating dashboards without marketing or attribution understanding, SQL only via drag-and-drop BI tools, using AI agents only as chat without workflow building, theoretical marketing analytics without hands-on Meta/Google Ads experience. What to Expect: Competitive compensation aligned with senior experience, AI-first culture with advanced tooling, significant impact on client outcomes and AI product, remote work with US-hours overlap. Hiring Process: Application with CV and short answers, intro call, technical interview on SQL and marketing analytics, final culture fit conversation, paid trial period, then offer. How to Apply: Fill out the application form at the provided link; no cover letter required.

Задачи: — Проектировать, разрабатывать и поддерживать современные frontend-приложения и функции с использованием React и TypeScript — Создавать переиспользуемые, масштабируемые и поддерживаемые UI-компоненты и архитектуру frontend — Разрабатывать новые интерфейсы, поддерживать и улучшать существующие продукты — Участвовать в обсуждениях архитектуры frontend, предлагать технические решения и вносить вклад в ключевые инженерные решения — Тесно сотрудничать с backend-разработчиками, менеджерами продуктов, дизайнерами и другими командами для обеспечения бесшовного пользовательского опыта — Решать сложные задачи frontend, связанные с управлением состоянием, производительностью, масштабируемостью и интерфейсами с интенсивной обработкой данных — Обеспечивать высокие стандарты качества кода через тестирование, код-ревью и поддерживаемые инженерные практики Требования: — Опыт профессиональной frontend-разработки не менее 5 лет, значительный опыт создания приложений на React — Глубокие знания современного React, включая хуки, композицию, управление состоянием и архитектуру компонентов — Уверенный опыт работы с TypeScript и построения типизированных, поддерживаемых frontend-кодовых баз — Хорошее понимание HTML, CSS и современных подходов к стилизации frontend — Знание оптимизации производительности frontend, включая рендеринг, контроль повторного рендера, размер бандла и интерфейсы с интенсивной обработкой данных Условия: — Гибкий график работы и гибридный формат — Хорошо оборудованные офисы для сосредоточенной и совместной работы — Глобальная распределённая команда из более 500 профессионалов — Обучение, наставничество и долгосрочный карьерный рост — Поддержка релокации и частная медицинская страховка — Бонусы, основанные на результатах работы — Доступ к TradingView Premium — Регулярные командные мероприятия и общекорпоративные встречи

Задачи: — Проектировать, создавать и поддерживать масштабируемое, качественное backend-программное обеспечение в соответствии с лучшими инженерными практиками. — Вести сложные технические инициативы от начала до конца: проектирование, реализация, мониторинг, отладка и постоянная оптимизация. — Улучшать инженерные стандарты для повышения качества и поддерживаемости кода. — Проектировать и оптимизировать распределённые системы, облачные сервисы и масштабируемые каналы обработки данных. — Повышать надёжность системы с помощью мониторинга, наблюдаемости, автоматических проверок состояния и оповещений. — Наставлять инженеров через код-ревью, технические рекомендации, адаптацию и обмен знаниями. Требования: — Опыт работы в EMEA с созданием и эксплуатацией программного обеспечения в современных продуктовых инженерных средах. — Глубокие знания и опыт проектирования масштабируемых распределённых систем. — Глубокое понимание архитектур данных и построения надёжных масштабируемых каналов обработки данных. — Опыт работы с облачной инфраструктурой и распределёнными системами (сообщения, распределённое хранилище, автоматизация инфраструктуры). — Сильные навыки наблюдаемости, мониторинга и отладки для эксплуатации производственных систем в масштабе. — Способность самостоятельно решать сложные задачи и принимать технические решения с учётом интересов клиентов и бизнеса. Условия: — Глобальная инклюзивная команда с поддерживающей, но ориентированной на результат культурой. — Возможность удалённой работы или работы из современного офиса в Риге. — Гибкий график работы (начало работы возможно до 11 утра). — Частная медицинская страховка и дополнительные оплачиваемые выходные (включая день рождения/праздник). — Возможности обучения, наставничества, внутренние встречи и хакатоны (как офлайн, так и онлайн). — Бесплатный и здоровый обед при работе из офиса в Риге. Процесс найма: — Рассмотрение резюме на английском языке. — Интервью для оценки технической глубины, ответственности и умения работать в команде. — Обсуждение соответствия роли и стиля работы.

Location: Bangalore, India From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Our mission is to empower data practitioners to create and disseminate organizational knowledge. dbt Core is the open-source engine at the heart of this mission, used by tens of thousands of analysts and engineers to transform data with the rigor of software engineering. We are looking for a systems-oriented engineer to join the small, expert team that builds and maintains this foundational piece of the modern data stack. This is an opportunity to work on deeply technical, high-leverage problems where your contributions will improve the daily workflow of a massive and passionate open-source community. About The Team The dbt Core team are the stewards of the open-source engine that powers the modern data stack for tens of thousands of practitioners. This small, high-trust group of systems engineers tackles the most fundamental challenges in dbt: ensuring the performance, reliability, and architectural integrity of dbt itself. They not only own the core execution engine but also architect the crucial adapter framework that connects dbt to a growing ecosystem of databases and data platforms. As a Staff Software Engineer on the Core & Adapters team, you will be a steward of the performance, reliability, and architectural integrity of dbt. You will tackle ambiguous, open-ended problems and take ownership of critical systems. What You’ll Do Dive deep into the dbt-core execution engine, using your systems expertise to identify, debug, and eliminate performance bottlenecks in our Python codebase. Architect and implement improvements to our adapter interface, the crucial layer that connects dbt to a growing ecosystem of databases and data platforms, enabling the community to build more powerful and efficient integrations. Debug complex, system-level issues that span from Linux process management and concurrency models to database query planning and network protocols. Lead technical design discussions and contribute to the long-term architectural roadmap for dbt Core, making key decisions about what, how, and when we build to ensure its scalability and reliability for years to come. Mentor other engineers and review contributions from our vibrant open-source community, upholding our high standards for code quality, testing, and design while fostering a collaborative and inclusive environment. Take strong ownership of our distributed systems, troubleshoot complex production issues, and participate in an on-call rotation to maintain high availability and deliver a resilient platform experience. Skills We’re Looking For We are looking for an engineer with a strong performance and debugging mindset, excellent mental models for complex systems, and a deep curiosity for infrastructure and open-source software. Required Qualifications: 6+ years of professional software development experience, with a focus on building and operating backend systems in a production environment. Deep backend engineering experience and proficiency in Python. A systematic, first-principles approach to problem-solving, with comfort navigating and debugging in Linux environments (e.g., understanding process scheduling, memory management, file systems). Solid grasp of database internals, such as query execution engines, storage layers, indexing strategies, and transaction management. Excellent communication skills and a sense of ownership, with the ability to balance technical depth with fast, iterative delivery. Preferred Qualifications: A background in data warehousing, data engineering, or analytics engineering. Professional experience writing production code in Go or Rust. Experience contributing to or maintaining a popular open-source project. Experience building compilers, interpreters, or developer tooling. Familiarity with performance analysis tools like perf or strace . The Team & Our Culture You will join a small, high-trust team of senior and staff-level engineers who are passionate about building robust, well-crafted, and reliable software. We operate in a remote-first, asynchronous-friendly environment that values deep work, clear written communication, and a high degree of autonomy. We are deeply connected to our users and the open-source community, and we believe that the best solutions come from a rigorous, collaborative, and empathetic engineering process. #LI-REMOTE #LI-SA1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Задачи: — Автоматизированное тестирование микрофронтов, ролевых моделей и пользовательских интерфейсов; — Проверка контрактов между Frontend и Backend, а также между микросервисами; — Проверка корректности чтения операций из блокчейна и записи транзакций; — Тестирование механизмов off-chain-консенсуса и внутренней бизнес-логики микросервисов; — Разработка и поддержка автотестов на Java (TestNG). Требования: — Высшее техническое образование; — Опыт тестирования от 5 лет; — Опыт работы на блокчейн-проектах; — Уверенное владение SQL (JOIN, вложенные запросы, базовые команды); — Глубокое понимание REST API; — Опыт разработки автотестов на Java с использованием TestNG; — Опыт работы с инструментами мониторинга; — Базовое понимание принципов интеграции с блокчейн-сетями. Условия: — Оформление по ИП; — Полностью удалённый формат работы; — Интересные технические задачи; — Возможность влиять на процессы и качество продукта; — Гибкий график; — Оплата за фактически отработанное время; — Команда без лишнего микроменеджмента.

Location: Remote, Global 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 Senior Data Analyst, Marketing to join our Data Intelligence team and build the measurement foundation that tells us what's actually working across paid and PLG channels. You'll work closely with Marketing, Growth, and channel owners, helping us move past platform-reported metrics and vanity numbers into causal, trusted answers about what drives pipeline and revenue. This role is ideal for someone who thrives in async, fast-paced environments, is AI-forward in how they work, and is excited about building a measurement function from the ground up. WHAT YOU'LL BE RESPONSIBLE FOR Marketing Measurement Strategy - Own the end-to-end marketing measurement strategy across experimentation, media mix modeling, and attribution for paid and PLG channels - Establish and evolve the attribution framework: how platform data, multi-touch attribution, MMM, and experiments work together to inform decisions - Translate complex measurement outputs into clear recommendations on where to invest, what to cut, and how to hit pipeline, revenue, and efficiency targets (CAC, payback, LTV to CAC) - Serve as the subject matter expert for marketing measurement, educating stakeholders on causality, model uncertainty, and the limitations of platform-reported metrics Incrementality and Experimentation - Design and run always-on incrementality tests, user-level and geo-level, to quantify the causal impact of key channels, campaigns, and tactics - Calculate incremental lift, incrementality percent, and incremental ROAS/CPA, and use these to guide budget reallocation - Build repeatable analysis templates and playbooks for experiment design, analysis, and readouts so results are consistent across teams - Partner with channel owners (paid search, paid social, lifecycle, website/SEO) to build and prioritize a experimentation roadmap, embedding it into campaign planning, creative testing, and audience strategy Media Mix Modeling and Forecasting - Build and maintain media mix models using historical data to estimate channel contribution, marginal returns, and optimal budget allocation - Incorporate seasonality, adstock, and saturation effects, and continuously validate model performance through backtesting and reconciliation with experiment results - Turn MMM insights into budget scenarios and forecasts across channels and regions, communicated in a way non-technical stakeholders can act on Context, Tooling, and Data Integrity - Own and build the context and skills that let marketing teams run accurate self-serve analytics: metric definitions, model documentation, and reusable analysis patterns, not just dashboards - Use AI tools as a core part of daily work to accelerate analysis and go deeper than a traditional analyst workflow allows, and help establish AI-forward practices across the marketing org - Identify gaps and inconsistencies in marketing data (tracking, spend, platform exports) and work cross-functionally to fix them at the root rather than patching around them downstream You Might Be a Good Fit If You - Have 6+ years in marketing analytics, data science, or a related role, with a focus on performance marketing and/or PLG growth - Deeply understand marketing attribution, incrementality testing, and media mix modeling, and how they complement each other rather than compete - Are advanced in SQL and at least one statistical programming language (Python or R) for experiment analysis and modeling - Have hands-on experience designing, running, and interpreting experiments across digital marketing channels: search, social, display, email, in-product - Have built or worked closely with MMM and/or advanced attribution models, ideally in a consumption or BaaS environment - Have strong business acumen and fluency in growth metrics: CAC, LTV, payback period, conversion rates, funnel performance - Think in terms of self-service and scale: your instinct is to build tools and frameworks that make marketing teams independently capable, not to become the bottleneck for every "did this work" question - Can hold technical and strategic context at once: you're as comfortable in a model's residuals as you are in a conversation about budget tradeoffs - Are AI-forward in how you work: you use LLMs and AI tooling habitually and have a clear point of view on how it changes what an analyst can do - Communicate clearly to non-technical stakeholders and know how to make causal nuance land in a business conversation - Thrive in async, autonomous environments and are energized by building a measurement function from the ground up Nice to Haves - Experience in BaaS, DevRel or open source dev tool companies, connecting marketing spend to pipeline and revenue outcomes - Experience with applied econometrics, time-series modeling, or Bayesian methods for MMM and experimentation - Familiarity with common marketing and analytics tools (Google Ads, Meta, LinkedIn, web analytics, CDPs, BI/visualization tools) 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: — разрабатывать и поддерживать backend-сервисы на Node.js / TypeScript; — участвовать в развитии собственной игровой платформы; — работать с транзакционной логикой, игровыми сценариями и высоконагруженными частями системы; — обеспечивать стабильность и производительность backend-сервисов; — работать с SQL-базами данных, Kafka и Redis; — писать и поддерживать unit- и e2e-тесты на Jest; — участвовать в code review и улучшении качества кода; — участвовать в улучшении процессов разработки и CI/CD. Требования: — опыт backend-разработки от 5 лет; — уверенный опыт с Node.js; — опыт работы с TypeScript; — опыт работы с SQL-базами данных; — опыт работы с Kafka и Redis; — опыт написания unit- и e2e-тестов; — понимание принципов работы высоконагруженных систем; — опыт оптимизации производительности backend-сервисов; — русский язык для коммуникации с командой. Будет плюсом: — опыт в iGaming / FinTech / high-load продуктах; — опыт работы с финансовыми транзакциями; — опыт работы с платёжной логикой или критичными backend-сервисами; — опыт улучшения CI/CD-процессов. Условия: — формат работы: удалённо на период испытательного срока, далее офис в Лимассоле, Кипр; — занятость: full-time; — прямой найм в продуктовую компанию, не аутстафф / не субподряд; — позиция предполагает релокацию на Кипр после испытательного срока и дальнейшую работу из офиса в Лимассоле.

Location: Helsinki, Finland About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. We are looking for a Senior Full-Stack Engineer to help build and evolve our new Common case-management system, powering support-case handling across DoorDash, Wolt, and Deliveroo. You will own significant end-to-end initiatives across backend services and agent-facing tools: case lifecycle, routing and assignment, queue management, case evidence and history, and migration from legacy systems. This is a hands-on product engineering role for someone who can turn ambiguous customer and operational problems into durable technical solutions. What you’ll do Lead one or more project-level Case Management initiatives from discovery and design through rollout, measurement, and operational ownership. Build scalable backend services and React-based internal tools used by support operators and administrators. Design reliable case-management capabilities, including case creation, routing, assignment, transfers, audit history, notes, attachments, and queue-management workflows. Help deliver feature parity with legacy platforms while safely migrating traffic across DoorDash, Wolt, and Deliveroo. Make and own technical decisions within your scope; write project-level design documents, identify dependencies and risks, and break work into parallelizable delivery plans. Partner closely with Product, Operations, Support, Data, and other engineering teams to define the right customer problems and improve the roadmap. Raise the quality bar through thoughtful design reviews, observability, testing, incident response, documentation, and reusable patterns. Mentor engineers through code reviews, technical guidance, and constructive feedback. Must-have qualifications Strong full-stack engineering experience, including production React and TypeScript experience. Strong backend engineering experience, including designing and operating backend services, APIs, asynchronous workflows, and data models at meaningful scale. Demonstrated ownership of complex, customer-facing or operations-critical projects from technical design through production rollout. Hands-on experience using AI development tools to improve engineering productivity, while validating generated output for correctness, security, privacy, maintainability, and reliability. Strong product judgment: able to translate ambiguous workflows and user needs into simple, maintainable technical solutions. Proven ability to collaborate across functions, drive alignment, and communicate trade-offs clearly to technical and non-technical stakeholders. Strong software-engineering craft: testing, code review, observability, incident response, security, and operational readiness. Comfortable working on systems with high correctness and auditability requirements, including traceability of decisions and changes. A proactive mentoring mindset and willingness to raise team-wide engineering standards. Nice-to-have qualifications Go experience. Experience with migration from legacy systems, gradual rollouts, traffic shadowing, and feature-parity programs. Experience building internal tools or operational user interfaces. Experience with high-volume, multi-region, or multi-tenant systems. What success looks like Delivers a major Case Management initiative with clear technical ownership, predictable execution, and measurable customer or business impact. Improves the Common system’s reliability, usability, and maintainability while enabling safe migration from legacy case-management systems. Helps move support traffic onto the Common system without reducing case-resolution quality. Builds solutions that other engineers and operators can confidently reuse and operate. Acts as a technical leader within the team: unblocks peers, improves engineering decisions, and strengthens cross-functional execution. Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Задачи: — разрабатывать и поддерживать backend-сервисы на Node.js / TypeScript; — участвовать в развитии собственной игровой платформы; — работать с транзакционной логикой, игровыми сценариями и высоконагруженными частями системы; — обеспечивать стабильность и производительность backend-сервисов; — работать с SQL-базами данных, Kafka и Redis; — писать и поддерживать unit- и e2e-тесты на Jest; — участвовать в code review и улучшении качества кода; — участвовать в улучшении процессов разработки и CI/CD. Требования: — опыт backend-разработки от 5 лет; — уверенный опыт с Node.js; — опыт работы с TypeScript; — опыт работы с SQL-базами данных; — опыт работы с Kafka и Redis; — опыт написания unit- и e2e-тестов; — понимание принципов работы высоконагруженных систем; — опыт оптимизации производительности backend-сервисов; — русский язык для коммуникации с командой. Будет плюсом: — опыт в iGaming / FinTech / high-load продуктах; — опыт работы с финансовыми транзакциями; — опыт работы с платёжной логикой или критичными backend-сервисами; — опыт улучшения CI/CD-процессов. Условия: — формат работы: удалённо на период испытательного срока, далее офис в Лимассоле, Кипр; — занятость: full-time; — прямой найм в продуктовую компанию, не аутстафф / не субподряд; — позиция предполагает релокацию на Кипр после испытательного срока и дальнейшую работу из офиса в Лимассоле.

Задачи: — Владение основным развитием и оптимизацией SDK adjoe Ads, работающего внутри сотен приложений издателей. — Разработка с использованием Kotlin с глубоким пониманием жизненных циклов Android, ProGuard/R8 и многопоточности для обеспечения стабильности на миллионах устройств. — Совместная работа с backend-командами для проектирования API и сбора поведенческих сигналов, поддержка строгой обратной совместимости для тысяч интеграторов. — Оптимизация SDK для минимального потребления ресурсов, включая влияние на батарею и использование памяти. — Мониторинг, отладка и поддержка надежности SDK в масштабе миллионов пользователей с использованием инструментов наблюдаемости и данных (Sentry, Kibana, AWS S3, QuickSight, Athena). — Поддержка и улучшение CI/CD пайплайнов с использованием Gradle и GitLab CI для автоматизации тестирования, сборки и упаковки мобильных библиотек. Требования: — Опыт работы с Android не менее 8 лет или 3+ года в разработке SDK/библиотек. — Глубокие знания Kotlin и Android internals. — Опыт проектирования API и работы с высокопроизводительными сетевыми протоколами (gRPC, Protobuf, Wire, OkHTTP). — Навыки оптимизации под ограниченные ресурсы устройств. — Опыт работы с инструментами наблюдаемости и анализа данных. — Опыт работы с Gradle и GitLab CI. — Приветствуется опыт в ad-tech или программной рекламе, а также опыт с NDK/JNI (C/C++ interop на Android) или параллельная разработка iOS. Условия: — Работа в офисе в Гамбурге, Германия. — Поддержка релокации для кандидатов из других стран. Компания adjoe занимается технологиями роста и монетизации мобильных приложений, их платформа adjoe Ads обеспечивает программную рекламу в приложениях с миллионами пользователей и миллиардами решений в день.

Location: Serbia; Spain; Poland; North Macedonia; Armenia; Tbilisi Workplace: remote Provectus is a consulting and professional services firm with a focus on AI/ML based solutions. Provectus is an AWS Premier Partner and an Anthropic partner, helping enterprise clients move from AI experimentation to AI running in production. We are changing how we deliver. Instead of handing a client a design and waiting for someone else to build it, our engineers embed directly inside the client's team and ship the system themselves. We call this Forward Deployed delivery. Before you design anything, you spend real time with the people who do the work the system is meant to change, so the architecture reflects how the work actually happens, not how a requirements document described it. We are looking for a Senior Software Engineer or Solutions Architect with deep Python and Generative AI experience who wants to work this way: deep in the code, close to the client, and directly accountable for whether the system gets used. Direct client communication sits at the center of this role. Prior presales experience is a strong plus. What You Will Do: Embed with the client team for the length of the engagement, working inside their environment rather than alongside it from a distance Spend time with the people who do the job the system is meant to change before you design anything, so the architecture is grounded in how the work actually happens Write clean, production grade Python across AI integrations, backend services, and RESTful APIs (Flask, Django, or FastAPI) Design, build, and optimize RAG systems and agentic AI solutions running in production, not demos or notebooks Own system design and architectural decisions across the engagement: microservices vs monolith, sync vs event driven, SQL vs NoSQL Own the technical direction of the engagement from discovery through delivery Act as the client's direct technical point of contact: present architecture, defend trade offs, and push back on scope when it does not match timeline or budget Support presales activities where relevant, including discovery calls, technical proposals, scoping, and client facing demos Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice Feed what you learn back into Provectus's blueprint library, so the next engagement starts further ahead Mentor engineers, lead code reviews, and share knowledge across the team What You Will Bring: 7+ years building and running production systems; hands on production experience is required, demo only or POC only backgrounds will not be considered Production experience with RAG systems and LLM based agentic workflows that are live and running, not prototypes Backend development experience with Flask, Django REST, or FastAPI Recent, hands on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered Experience with LLM APIs (OpenAI, Anthropic Claude, or AWS Bedrock) Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization Demonstrated experience making and defending system design and architectural trade off decisions Comfortable owning direct communication with client stakeholders, without a project manager relaying the conversation Genuine willingness to spend time close to the people who do the job before you design a system to change it, and comfort with an engagement that starts underspecified by design Strong testing practices: pytest, mocking, and integration tests for AI systems Experience with Docker and Kubernetes Understanding of LLM evaluation techniques and quality assurance approaches Experience deploying and maintaining AI/ML models in production environments Already using AI assisted development tools in your daily workflow (Claude Code, Copilot, or similar) Proactive and self directed; you own outcomes end to end and spot problems before they are handed to you B2+ English, comfortable collaborating across distributed, multicultural teams Nice to Have: Exposure to Financial Services or Healthcare and Life Sciences, our two primary practice verticals Presales experience: cost estimation, cloud architecture cost optimization, scoped and phased delivery plans Prior consulting, professional services, or other embedded client facing delivery Experience with React or Vue AWS or Claude Code certifications Experience with Streamlit or Gradio for AI prototyping Modern Python tooling (ruff, uv, pyproject.toml, pyright) CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, Node.js, or Rust) What We Offer: Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a full-time remote opportunity. We are considering candidates from US and Canada only (EST time zone). The Opportunity: The Grafana Cloud Observability department is focused on enabling developers to understand the health and performance of their applications and infrastructure in any environment by providing tools to instrument their code, ingest observability data into Grafana Cloud and visualize and explore it. In this role, you will be part of the Cloud Integrations team. We develop our portfolio of integrations that allow customers to collect, visualize and act on telemetry from various systems and applications. The software you will create is a core building block for the users of Grafana Cloud, and has direct impact on Grafana Cloud’s out of the box experience. Our work is built on Open Source technologies such as Prometheus and OpenTelemetry, which you will also have the opportunity to actively contribute to. What You’ll Be Doing: You will bring your software engineering expertise to develop the tooling that powers our portfolio of cloud integrations and observability apps; working to develop, maintain and scale our infrastructure observability features in Grafana Cloud. We’re looking for someone who can work across the full stack: Frontend - written in Typescript / React Backend - written in Golang Monitoring Mixins - written in Jsonnet Day to day, that looks like: Ship features end to end, from the UI a user clicks through to the backend services behind it and the dashboards and alerts that ship with each integration Move between parts of the stack as the work demands. Some weeks are a React panel, some weeks a Go service, some weeks a Jsonnet mixin Own projects from problem statement to production, including talking to users and checking whether what you shipped actually worked Represent the team's work outside the team: write the design proposals, run the demos, and make the case for our roadmap in cross-team discussions Contribute upstream to Prometheus, OpenTelemetry and Grafana Alloy where our work touches them Join the on-call rotation for the services you own 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. As we have embraced a remote-first approach and our engineering team is primarily remote, it is essential to possess strong communication skills and the ability to work independently. We provide support and hold regular meetings through video calls to ensure effective collaboration and alignment. What Makes You a Great Fit: Interest in working across the full stack, with a product-focused mindset. You start from the user problem and are comfortable deciding what to build, not only how to build it Experience on both the backend and the frontend. We use Go and TypeScript; solid experience with comparable languages translates well Fluency with AI-assisted development. You use coding agents and LLM tooling as part of how you work, and you have a clear view of where they speed things up and where they get in the way Comfort being visible. You raise concerns early, advocate for your team's work across the org, and turn quiet good work into decisions other people can see and act on Working knowledge of the observability ecosystem: Prometheus, Grafana dashboards, alerting, and what it takes to run these systems in production Strong written communication. Most of our decisions happen in docs, issues and pull requests across several time zones Bonus Points For: Experience contributing to or maintaining Open Source projects, with evidence of successful pull requests and community collaboration Experience working on Developer Tooling with a large user base Experience building Grafana plugins, apps or dashboards Familiarity with Grafana Alloy, the OpenTelemetry Collector, or similar telemetry pipeline tooling Experience writing Jsonnet, or another configuration-as-code language You have been on-call for the systems you instrument, so you know what a useful alert looks like In Canada, the OTE (On-Target Earnings)/Base compensation range for this role is CAD $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 .