Вакансии

Location: Republic of Ireland (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building or working with agent frameworks or multi‑agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In the Republic of Ireland, the Base compensation range for this role is EUR 107,000 - EUR 134,000 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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 *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Sweden (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building or working with agent frameworks or multi‑agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Sweden, the Base compensation range for this role is SEK 878,578 - SEK 1,054,294 .  Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed here . *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 *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Spain (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany. The Opportunity: At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence. The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership. We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative. What You'll Be Doing: Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration. Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries. Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings. Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production. Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability. Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area. Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams. Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows. What Makes You a Great Fit: Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision. AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory. Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset. Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined. Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table. Experience with LLMs, prompt engineering, and building applications powered by GenAI. Proven track record of delivering software that made it into production and is actively used by users. Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure). Experience using observability tools to understand and troubleshoot system behavior. Bonus Points for: Experience building or working with agent frameworks or multi‑agent workflows. Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks) Experience building tools for data engineering. How we work: We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. Compensation & Rewards: In Spain, the Base compensation range for this role is EUR 94,025 - EUR 112,830 . 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 .

Задачи: — Верстка лендинга, карточек в Telegram Mini App и их связь с бэкендом на первой версии. — Помощь с бэкенд-логикой: разработка логики Telegram-бота для исполнителей. — После Нового года полный переход на фронтенд для разработки полноценной веб-платформы (вторая версия продукта). Условия: — Перспектива выхода на фиксированную зарплату через полгода после получения гранта. — Фиксированная доля в бизнесе (equity) по системе вестинга с клиффом в 3 месяца. — Стек: React + TypeScript на фронтенде, Node.js + Nest.js + TypeScript на бэкенде. Преимущества: — Обучение в топовом московском вузе (3–4 курс или магистратура) по профилю.

О проекте: Мы создаем программное обеспечение для автоматизации микробиологических лабораторий на фармацевтических предприятиях. Наша цель — гарантировать абсолютную целостность данных в соответствии со стандартами GMP. Задачи разработчика: Проектирование архитектуры: Разработка гибкой и масштабируемой архитектуры ПО с нуля. Автоматизация лабораторных процессов. Обеспечение целостности данных (Data Integrity): Разработка системы логирования всех действий, разграничения прав доступа и электронной цифровой подписи. Интеграция с оборудованием: Проектирование модулей для будущего подключения лабораторных приборов. Генерация отчетности: Создание конструктора валидных аналитических отчетов и протоколов испытаний. Что мы предлагаем: Быть у истоков создания продукта со сложной и интересной доменной зоной. Прямое влияние на технологический стек и архитектурные решения. Оклад+доля в компании.

Location: Erevan, Armenia; Canberra, Australia; Vienna, Austria; Brussells, Belgium; Sarajevo, Bosnia and Herzegovina; Sofia, Bulgaria; Zagreb, Croatia; Prague, Czechia; Berlin, Germany; Athens, Greece; Rome, Italy; Dublin, Ireland; Kishinev, Moldova, Republic of; Budva, Montenegro; Bucharest, Romania; Tbilisi, Georgia; Warsaw, Poland; Bratislava, Slovakia; Astana, Kazakhstan; Beograd, Serbia Workplace: remote Senior Full-Stack Engineer About the Role We are looking for Senior Full-Stack Engineer with strong experience across React/TypeScript frontend development and Node.js/TypeScript backend systems. This is a long-term, fully remote opportunity within a fast-moving fintech environment, working EST hours. The ideal candidate is proactive, asks thoughtful questions, and builds reliable, maintainable systems. The team actively uses AI coding tools such as Claude, so candidates must be comfortable using them and explaining their technical decisions. Responsibilities Build and maintain production-grade React, Node.js , and TypeScript applications. Develop backend services, APIs, integrations, and server-side validation. Manage PostgreSQL schemas, migrations, queries, indexes, and performance. Write unit, integration, and end-to-end tests. Design scalable systems using caching, queues, and background jobs. Improve legacy code and contribute to ongoing technical remediation. Collaborate with the team and clearly communicate technical decisions. 7+ years of professional software engineering experience. Strong, recent React, Node.js, and TypeScript experience. True full-stack expertise; primarily frontend candidates will not be considered. Hands-on PostgreSQL experience, including migrations and indexing. Production experience with AWS; ECS/Fargate, containers, S3, and CloudFront are preferred. Experience with system design, third-party integrations, and end-to-end testing. Comfortable using AI coding tools such as Claude. Strong English and Russian communication skills. Fintech or payments experience is preferred, including knowledge of ACH, reconciliation, compliance, and idempotency.

Задачи: — Разрабатывать mobile-first игровой интерфейс: live-плеер, ставки и cash-out в один тап, отрисовка раундов и множителей в реальном времени. — Реализовывать realtime-взаимодействие клиента и сервера через WebSocket / Socket.IO: синхронизация раундов, лидерборды, чат в лобби. — Писать серверную логику на Node.js + TypeScript + Express 5: betting engine, обработка исходов, история ставок. — Работать с PostgreSQL + Prisma, использовать Redis для кэширования и синхронизации состояния. — Покрывать код тестами на Vitest, участвовать в code review. — Поднимать и поддерживать локальное окружение через Docker Compose. Цели на первые 1–3 месяца: — Вместе с командой довести продукт до работающего прототипа и беты. — Возможность влиять на код, архитектуру, технические решения и развитие продукта. Требования: — 3+ года коммерческой разработки на TypeScript — Node.js на бэкенде и React на фронтенде. — Практический опыт с realtime-системами и WebSocket / Socket.IO. — Понимание синхронизации состояния, latency, reconnect-механик и других особенностей realtime. — Уверенная работа с PostgreSQL и Redis. — Опыт построения REST- и WebSocket API. — Понимание производительности и отзывчивости интерфейсов на мобильных устройствах. — Аккуратная работа с тестами (Vitest / Jest) и Git-flow. — Самостоятельность и уровень ответственности Middle+. — Опыт в iGaming / betting, понимание игровых механик и принципов provably fair. Будет большим плюсом: — Опыт работы с Kafka / KafkaJS. — Опыт с ClickHouse. — Работа с видеопотоками (HLS / .m3u8) или computer vision. — Опыт разработки PWA и мобильной оптимизации. — Опыт построения высоконагруженных realtime-систем. Условия: — Full-time. — Испытательный срок — 1 месяц. — Удаленная работа. — Конкурентный доход.

Location: Berlin Workplace: OnSite ABOUT PEEC AI AI search is changing how brands are discovered and chosen. People now ask ChatGPT, Gemini, Claude and Google’s AI answers what they used to search for, and AI assistants increasingly shape the journey from discovery to purchase. Winning customers now means winning over the AI systems that influence their decisions. Peec AI is an AI search platform that helps marketing teams understand and improve how their brands are discovered, represented, and recommended. We show them where they stand, what’s shaping it, and where to act. Since launching in January 2025, Peec AI has passed $20M ARR and 4,000 paying customers. We’re a Series A company backed by 20VC and Singular, with 100+ people across our Berlin HQ and our New York office. ABOUT THE ROLE We are hiring a Fullstack Engineer for our Growth team. You will run experiments across the whole self-serve journey: from the moment someone first hears of Peec AI to the day they renew, refer a friend or leave. That covers the website, signup, pricing and checkout, the trial and onboarding. It also covers the moments in the product where we ask people to do something, like connect a tool, invite a teammate or upgrade. You can work on any of these, and we decide together where the focus goes each month or quarter. You come up with the hypothesis, design the experiment and discuss it with the team. Then you run the rest of the loop yourself: build it, instrument it, ship it behind a flag, read the result and write down what happened. You report to the VP of Growth and work with our Growth PM, our growth engineer, and the marketing and design teams. WHAT YOU'LL DO - Go after big swings. We size every idea first and look for changes that could move a funnel step by 30 to 40 percentage points. It is fine if most of them fail. - Build and improve the experimentation infrastructure. Feature flags, assignment at the account level, exposure logged when someone becomes eligible, outcomes recorded on the server, and holdouts we read. - Keep conversion data accurate. Event design, funnel definitions and readouts the team can rely on. - Own what you ship after launch. You watch it, read the result on the date you set, and decide whether we keep it, change it or remove it. - Build internal tools that let the team run more experiments with less manual work. WHAT WE'RE LOOKING FOR - You have run growth experiments end to end. You formed the hypothesis, designed the test, built it and read the result. Not advised on them, not analysed someone else's. - You write production code today. Strong React and TypeScript on the frontend, comfortable in Node.js and databases on the backend. Our stack is React, Node.js and Next.js. - You know what your volume can detect. You can size a test, say how long it needs to run, and tell us when a result is not readable. - SQL and analytics fluency. Funnels, cohorts, event design. - B2B SaaS experience. - You ship with Claude Code, Cursor or equivalent. - Product judgement. You can tell which changes need a test, which can ship without one, and which are not worth building. - Product taste. You care about how the things you ship look and feel. You can turn an idea into a screen that belongs in our product, and you know when to bring in our design team. BONUS POINTS - You set up an experimentation practice from scratch and grew it into a regular part of how the team works. - Product-led growth experience. Onboarding, activation, paywalls, pricing, checkout. - Acquisition experience. Website and signup experiments, SEO or paid funnels. - Experiments on low-volume B2B funnels, where only big changes are readable. - Experimentation platforms and feature flags. Statsig, GrowthBook, PostHog, or your own. - Billing and subscriptions. Stripe or similar. - You founded a company, or you were an early engineer at one. - Side projects and experiments you can show us. WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe's fastest-growing Series A startups - Regular team events and off-sites - Aggressive equity compensation package - Paid Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin

Задачи: — разработка Android-приложений в направлении iGaming с использованием WebView — работа с backend-частью приложений Требования: — свежий опыт с Android WebView iGaming-приложениями — опыт работы с cloak / anti-detect решениями — уверенные знания Android и backend стека — самостоятельность и умение быстро доводить приложения до продакшена Условия: — полная удалённая работа — гибкий график — работа над несколькими проектами одновременно — быстрые релизы и постоянный продакшн — оплата $2500–4000+ в USDT (TRC20)

Задачи: — Разработка масштабируемой цифровой медиаплатформы, предоставляющей разнообразный контент для глобальной аудитории. — Участие в инициативе по редизайну фронтенда. Требования: — Опыт профессиональной разработки ПО не менее 4.5 лет с сильным недавним опытом в Go и Angular/TypeScript. — Сильные навыки full-stack разработки, способность работать как с бэкендом, так и с фронтендом. — Опыт работы с Angular, TypeScript, HTML, CSS, RxJS, NgRx. — Практический опыт работы с Google Cloud Platform (GCP). — Понимание DevOps. — Опыт работы с MongoDB, PostgreSQL, SQL, Redis. — Практический опыт с Docker, Terraform, Ansible. — Опыт работы с WebSockets и технологиями обмена сообщениями, такими как Kafka или RabbitMQ. — Уровень английского языка от Upper-Intermediate и выше. Условия: — Работа только из стран ЕС. — Временная зона CET. — Требуется знание английского языка от B2.

Specific-Group — международная IT-компания, которая занимается разработкой заказного программного обеспечения и IT-консалтингом. Удалённая работа (Польша).

Location: Karachi, Pakistan; Lahore, Pakistan; Islamabad, Pakistan Top 3 Reasons To Join Us Competitive Salary International Environment Working on the latest tech for the Insurtech Market Leader About Us At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone. We are a leading global no-code insurance platform for health, life, and P&C We’re the winner of the Insurtech of the Year in all of Asia and other awards globally We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world We are fully funded and backed by reputable VC funds and strategic institutional investors We have a global presence in Asia, EMEA and the Americas We’ve grown our annualized revenue by over 30x since January 2021 We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world What You Will Do Design, implement and maintain new features and functionalities for the SAAS platform, understanding the requirements of insurance businesses and translating them into scalable and efficient software solutions Work on both the front-end and back-end of the application, demonstrating expertise in various technologies, frameworks, and programming languages Work collaboratively with product, design, engineering teams, and UX designers to understand end-user requirements, use cases, and technical concepts, translating them into a cohesive and effective solution while ensuring a seamless user experience. Optimize the performance of the application to handle large amounts of data and high user traffic, delivering a smooth user experience Participate in code reviews and enforce best coding practices, while also writing and executing unit tests and integration tests to maintain code quality Investigate and promptly fix bugs to maintain the reliability of the platform Ensure security and compliance by following best practices for securing web applications and adhering to relevant regulations in handling sensitive customer data Stay up-to-date with the latest technologies, frameworks, and best practices to ensure we remain competitive and innovative Design the platform with scalability and flexibility in mind, accommodating new features and changes as the number of clients and users grows Provide mentorship to junior developers, aiding in their technical growth and effective contribution to the team's goals What We Need Proven experience 6 years as a Full Stack Engineer, working on complex SAAS applications Strong technical background with proficiency in back-end technologies, such as .NET Core, C#, GraphQL, MongoDB, Docker Proficiency in front-end technologies such as Javascript, Vue.js and/or React.js Familiarity with cloud platforms like AWS, Azure, or Google Cloud for building scalable applications Experience with microservices and/or clean architecture Thorough understanding and practical experience with Test-Driven Development (TDD) to ensure robust and well-tested code Experience with unit, integration and function testing using front-end and back-end testing libraries Proficiency in Domain-Driven Design (DDD) principles to create a maintainable and modular architecture that aligns with business domains In-depth knowledge of web security best practices and experience in ensuring compliance with industry regulations Demonstrated experience in performance optimization for high-traffic web applications Experience with container technologies like docker and good understanding of cloud infrastructure and solutions. Experience with agile development methodologies and collaborating with cross-functional teams Excellent problem-solving skills and a proactive approach to troubleshooting and bug fixing Strong communication skills to effectively interact with both technical and non-technical team members with diverse backgrounds A passion for staying updated with the latest trends, technologies, and best practices in software development Why You'll Love Working Here Competitive renumeration package International Environment 15 days annual leave, 10 sick leaves, special leaves Annual Performance Bonus Stock Options after 6 months Company activities and events Learning and development plan CoverGo Company Video By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.

Location: Toronto; Canada; United States; New York; Vancouver; Ottawa; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? This role is for people who love building tools for their coworkers. The Internal Applications team creates tools that help us create better models. In this role you will collaborate with internal stakeholders, which include annotators, ML researchers, product managers and more. Join our team of builders who create tooling that will pave the way for the next generation of large language models! AS A FULL-STACK SOFTWARE ENGINEER ON THE INTERNAL APPLICATIONS TEAM, YOU WILL: - Work with a small talented and enthusiastic team of software engineers - Contribute to delightful experiences for our user-facing products, meticulously crafting code for browsers and servers - Collaborate and grow with your engineering colleagues of all levels through direct pairing sessions, architectural designs, documentation and talks - Identify and remove roadblocks to enable your team to increase its engineering velocity. - Build resilient systems that are mission-critical - Keep up with the cutting edge and adopt new technologies to improve performance and reliability YOU MAY BE A GOOD FIT IF: - You have experience shipping products with a large number of stakeholders - You’re comfortable with the front and back end of the stack, and have previously worked with Next.js, TypeScript, React, and Python - You have hands-on experience with complex SQL queries - You have excellent communication skills and believe that documentation is a great way to get feedback and discuss technical implementations and designs - You’re excited to add new technologies to your toolbox and use them where it makes sense - You have the ability to take complex needs and goals and develop easy to understand explanations for all audiences - You’re excited about AI and have the motivation to scale a company FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Задачи: — Поддержка команды инженеров в написании качественного, хорошо протестированного кода для новых функций и исправления ошибок. — Совместная работа над проектированием, реализацией, тестированием и обзором новых функций и исправлений. — Ревью кода и предоставление обратной связи для улучшения качества, читаемости и тестируемости кода. — Архитектура, проектирование, разработка, развертывание и эксплуатация сервисов для тысяч пользователей AccuLynx. — Использование Agile-процессов для экспериментов и улучшения практик разработки ПО. Примеры задач: — Реализация инструментов для коммуникации в реальном времени. — Создание быстрого и отзывчивого приложения для планирования работы в полевых условиях. — Разработка платформы автоматизации для настройки рабочих процессов клиентов. — Решение задач по картографии и геолокации. — Разработка публичного RESTful API. — Ревью работы младших инженеров, коучинг и обратная связь. — Выполнение других связанных обязанностей. Требования: — Отличные навыки программирования. — 7-10 лет опыта разработки ПО. — Более 7 лет опыта full-stack веб-разработки: фронтенд, бэкенд и базы данных. — Умение эффективно работать и добиваться результатов. — Отличные письменные, устные и межличностные коммуникационные навыки. — Убеждение, что производительность — это важная характеристика. — Опыт с технологическим стеком: Vue.js, C#, Sql Server, Redis, ElasticSearch, Git. — Уверенность в способности влиять на продукт. — Использование AI-инструментов разработки (GitHub Copilot, Claude Code) для ускорения кодирования, тестирования и отладки при сохранении высокого качества кода. — Активная оценка и интеграция новых AI-помощников в процесс разработки, обмен лучшими практиками для повышения эффективности команды. Плюсы: — Знакомство с Agile-методологиями. — Понимание HTML5 и адаптивной мобильной разработки. — Вклад в OSS-проекты или Stackoverflow. — Готовность к поддержке вне рабочего времени (работа 40 часов в неделю, но возможны ночные инциденты). Условия: — Конкурентная компенсация. — Гибкий оплачиваемый отпуск — 3 недели в первый год. — Медицинское, стоматологическое и офтальмологическое страхование. — 401K с матчингом и безопасными взносами. Процесс интервью: — Рассмотрение резюме, открытого кода или портфолио. — Телефонное интервью с HR. — Личное собеседование с членами команды. Требование: — Возможность легально работать в США. AccuLynx — работодатель с равными возможностями, поддерживающий разнообразие и инклюзию.

Задачи: — Разработка программного обеспечения для Модуля Гиперспектральной съемки и Модуля 3D-сканирования. — Интеграция ПО с аппаратной частью (ПЛК, сенсоры, камеры). — Разработка frontend (интерфейсы управления) и backend (алгоритмы обработки данных). — Тестирование и отладка работы системы. — Взаимодействие с инженерами и специалистами по электронике. Требования: — Высшее образование. — Опыт разработки на C#, C++, Python. — Навыки fullstack-разработки (frontend + backend). — Умение работать с ПЛК (программируемые логические контроллеры) и сенсорами. — Понимание основ компьютерного зрения и обработки изображений (желательно). — Опыт работы с гиперспектральными данными или 3D-сканированием будет плюсом. — Знание алгоритмов обработки сигналов и математического моделирования. — Базовые ботанические знания (морфология растений, спектральные характеристики растительности) – желательно. — Личностные качества: внимательность и педантичность, умение работать в коллективе. Условия: — Работа над инновационными проектами в области спектроскопии и 3D-сканирования. — Возможность участия в полном цикле разработки – от проектирования до внедрения. — Гибкий график работы с обязательным присутствием в офисе (5/2 по 8ч). — Офис - ст. м. «Новослободская». — Заработная плата (оклад + ежемесячные премии) обсуждается на собеседовании. — ДМС.