Вакансии

В поисках опытного .NET-разработчика уровня Senior для работы над корпоративными приложениями: серверная часть (REST API, интеграции), SQL-скрипты и клиентские решения (WPF/WinForms/React). проектирование архитектуры приложения;

Задачи: анализ бизнес-потребностей и проектирование системных интеграций между банковским мобильным приложением, внутренними банковскими системами и сторонними сервисами; сбор и анализ бизнес- и системных требований к новым фичам и интеграциям от концепции до внедрения;

Full Stack Developer с опытом RFID/IoT-интеграций.

- PHP’da backend qismini ishlab chiqish va qoʻllab-quvvatlash. - REST API yaratish va integratsiya qilish.

-Разработка новых компонентов, модулей на сайтах компании. -Доработка существующего функционала на сайтах компании.

-Разработка и поддержка E2E-автотестов на Playwright + TypeScript. -Тестирование Frontend и пользовательских сценариев (включая работу с оборудованием: кассы, весы, сканеры, ККТ).

Сейчас ищем iOS Product Engineer, который умеет самостоятельно создавать приложения от идеи до релиза и активно использует AI-инструменты для ускорения разработки и проверки гипотез. - Главная задача работа над приложением от сбора требований до деплоя: Собирать и уточнять требования совместно с Product Manager.

Задачи: — Выполнение ручного и автоматизированного тестирования в равных долях. — Тестирование веб-приложений, включая backend и frontend. — Тестирование API с использованием протоколов SOAP и REST. — Разработка и обновление тест-кейсов и тестовой документации. — Создание автотестов на C# и доработка тестового фреймворка. — Подготовка тестовых данных. — Выявление, фиксация и приоритезация дефектов. — Написание SQL-запросов, работа с хранимыми процедурами и функциями в MSSQL и PostgreSQL. — Участие в Agile/Scrum процессах и согласование критериев приёмки. — Подготовка отчетности по качеству релиза. Требования: — Опыт ручного тестирования не менее 3 лет, включая опыт fullstack тестирования. — Опыт автоматизации тестирования на C# от 2 лет. — Опыт тестирования API. — Практические знания тест-дизайна. — Знание клиент-серверной архитектуры. — Уверенное владение SQL. — Опыт работы с SOAP и REST. — Навыки проектирования тест-кейсов и подготовки тестовых данных. — Уверенное использование Jira и Confluence. — Понимание жизненного цикла разработки ПО. — Опыт работы в Agile/Scrum. Будет преимуществом: — Знание BDD-подхода (SpecFlow). — Знание JavaScript. — Понимание работы брокеров сообщений Kafka и RabbitMQ. — Понимание работы оркестраторов Kubernetes. — Знание принципов работы СУБД MSSQL и PostgreSQL. — Опыт работы с CI/CD (Jenkins). — Опыт работы с микросервисной архитектурой. — Опыт в Fintech с сложными бизнес-процессами. — Навыки декомпозиции и оценки задач. Условия: — Оформление по ТК РФ, ИП или ГПХ. — Зарплата обсуждается на интервью. — Гибкий график работы. — Удалённая работа почти из любой точки мира с допуском по часовому поясу +- 2 часа от Москвы. — ДМС, включая стоматологию.

Твои будущие задачи: Разработка и развитие функционала корпоративной AI-платформы.

В связи с увеличением задач мы ищем в команду Flutter-разработчика уровень Senior. - Разрабатывать новые и поддерживать реализованные фичи мобильного приложения на Flutter.

- Разработка и техническая поддержка сайта; - Работа с Django и Backend;

Задачи: — Создавать и улучшать REST API — Работать с SQL-запросами и миграциями баз данных — Писать unit-тесты — Обнаруживать и исправлять ошибки — Участвовать в процессе Code Review — Взаимодействовать с командами Frontend, Mobile и QA Требования: — Опыт 1–3 года, минимум 1 год с C#/.NET — Знание C#, .NET, ASP.NET Core — Понимание OOP, LINQ, async/await — Опыт работы с REST API и HTTP — Знание MySQL или PostgreSQL, SQL — Опыт с EF Core и/или Dapper — Знание принципов SOLID — Навыки unit-тестирования (xUnit/NUnit) — Базовые знания Git и Docker Условия: — Работа над современными fintech проектами — Поддержка ментора и команды — Уроки английского языка — Компенсация образовательных расходов — Медицинская страховка — Профессиональный и карьерный рост Дополнительные преимущества: Опыт с DDD, CQRS, Kafka, RabbitMQ, Redis, Kubernetes, CI/CD, Grafana и Sentry.

Location: Remote Workplace: Remote About Us Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. About the Team We build the AI agent that helps merchandisers, product managers, and executives grow their e-commerce business: it finds opportunities in their data, tailors insights to each person's role, and takes routine work off their plate by delivering answers where they already work. We are transforming how digital merchandising teams work: instead of digging through reports and configuring rules by hand, they ask in plain language, get answers grounded in their own data, and approve the changes the agent prepares. Customers already rely on the agent to save time and make better decisions. We own the agent end to end, from the first question a merchant asks to the answer they act on. We also own the analytics behind it: the pipelines and cubes for search, browse, and recommendation performance, and the metric definitions merchants rely on. That is why we build the agent and the Customer Dashboard as a platform that every Constructor team extends. We create the foundation that other teams build on: the agent framework, shared components, and infrastructure. On top of it, teams add their own data, tools, and skills, so the agent can answer questions in their domain and the dashboard can show their features without separate interfaces. Each new capability gives merchants more ways to grow their business. What you'll do - Build and own the batch pipelines and cubes behind dashboard analytics and agent insights - Model shopper, trend, and benchmark data so the agent can find opportunities across the shopping journey - Shape data for each role: a merchandiser's category, a product manager's funnel step, an executive's total - Own data quality and trust: freshness, monitoring, alerting, and metric definitions - Work with engineers, analysts, and product to find the data the agent is missing and turn merchant questions into data products - Ship your data into the product: simple analytics UIs, and the agent skills, tools, and prompts that use it Requirements Must-have - Proficiency in Python and SQL (any dialect) - Experience building and maintaining batch data pipelines with Spark (PySpark) - Familiarity with the big data stack: Databricks, ClickHouse and dbt - Experience with data modeling for analytics: aggregated tables and cubes that feed dashboards and APIs - Experience with data quality and pipeline monitoring: freshness checks, alerting, incident response - Ability to prototype fast and pick the metrics that matter in e-commerce - Ability to translate business questions into technical requirements, and back - Clear communication with engineers and non-technical stakeholders Nice-to-have - Experience building frontend UIs, or willingness to work across the full stack to ship data into product features - Experience with pandas, NumPy - Experience building AI agents: tools, skills, prompts, context, and evaluations - Experience with real-time analytics: ClickHouse, Cube.js - Experience with AWS - Familiarity with statistics for experimentation (A/B tests) Benefits - 🏝️ Unlimited vacation, with a recommended minimum of 3 weeks per year - 🌎 Fully remote team: choose where you live - 🛋️ Work-from-home stipend to set up your home office - 💻 Apple laptop for new employees - 🧑‍🎓 Annual training and development budget for every employee - 👪 Maternity and paternity leave for qualified employees - 🧠 Smart colleagues who help you grow and make a meaningful impact - 💵 Base salary: 80-120K USD, depending on knowledge, skills, experience, and interview results - 📈 Stock options, in addition to the base salary - 🎉 Regular team offsites to connect and collaborate Diversity, Equity, and Inclusion at Constructor At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don’t meet all of our listed qualifications. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the US and Canada. The Opportunity: Grafana Enterprise is our composable observability platform focused on large-scale operators with security and regulatory requirements who need to self-operate their observability solutions. Grafana Enterprise features are also part of our Grafana Cloud service. Grafana Cloud is an integrated suite of observability applications offered as a service. It allows our customers to leverage the best open source observability software, including Prometheus, Mimir, Loki, and Tempo,  without the overhead of installing, maintaining, and scaling their own observability stack. The Grafana Enterprise team is a diverse team of expert technologists working remotely from around the globe. The team focuses on innovative solutions to large-scale customer challenges and developing solutions that improve security, robustness, flexibility, multitenancy, and interoperability on behalf of our customers. We work across the larger Grafana Labs organisation and directly with external customers, including major cloud service providers and global enterprises running observability and build infrastructure at massive scale, to solve their most demanding distributed systems challenges. Our customers include software engineers, site reliability engineers, and platform operators at medium, large, and global enterprises. As a company we are remote-only and global; we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our meetings tend to happen between 14:00 and 17:00 UTC, but we are flexible and responsive to the needs of our engineers and our customers. We measure ourselves by our openness, helpfulness, and our shared successes. We are looking for experienced software engineers who are passionate about distributed systems and building reliable, scalable backend infrastructure to join our growing team. Our backend is Go, and we build tools for people operating some of the world's largest observability and software delivery stacks. Backend Engineers at Grafana also contribute to open source communities. What You’ll Be Doing: Earning the trust of our large-scale operator customers to further Grafana's "big tent" philosophy of data accessibility and to meet clear business objectives Designing and leading the development of backend services, distributed systems, and enterprise features at scale Driving continuous improvement of our engineering culture through words and actions Driving projects from initial ideation through the development lifecycle to production Contributing to the scalability, reliability, security, and multi-tenancy of the Grafana platform trusted by some of the world's largest operators Owning the operational health of our platform by participating in weekday 12h x 5d and separate weekend 24h x 2d on-call rotations. (Yes, we prioritize ops load reduction.) Hiring and developing the best engineers to build the future of Grafana Developing your skills as a thought leader to drive continuous improvement of engineering and operational practices across Grafana Labs As we are remote-first, we provide guidance and meet regularly using video calls, so strong teamwork and excellent written and interpersonal communication skills are a must. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro). What Makes You a Great Fit: You work well as a communicative member of a team of engineering professionals. You earn trust by saying what you mean and doing what you say. You are customer focused and especially attuned to the needs of large-scale operators who rely on Grafana as critical infrastructure. You start with their needs and work backwards. You insist on the highest standards and work to develop the skills and knowledge of your fellow team members. You take on complex distributed systems challenges, break them down into digestible problems, and leverage your team and organization to deliver. You design modular solutions, deliver minimum loveable products, gather data and feedback, and then progress iteratively. What will you be doing? (Role specifics) As a Staff Backend Engineer, you will design and build the backend systems powering Grafana Enterprise — the platform trusted by the world's largest operators to run their observability and software delivery infrastructure. Hiring and developing the best engineers we can to deliver the future of Observability. Architecting and implementing distributed backend services in Go, with a focus on correctness, observability, and performance at scale Designing APIs and service contracts used by thousands of enterprise operators and cloud service providers Collaborating with Product and UX to shape features and partnering with frontend engineers to ship complete, end-to-end solutions Driving scalability and reliability improvements that matter to large-scale operators running Grafana in regulated, high-availability environments Engaging directly with large enterprise customers and cloud service providers to understand their requirements and translate them into robust engineering solutions Advocating for our customers at every stage of the development lifecycle What technical competencies are we looking for? Deep professional experience writing production services, from ideation through to production operations at scale Strong distributed systems fundamentals: replication, consistency models, partitioning, fault tolerance, and the trade-offs that come with operating at scale Demonstrated experience designing and operating systems for large-scale, high-traffic, high-availability, or multi-tenant environments, ideally in the context of infrastructure, observability, or software delivery platforms Professional experience building and consuming gRPC/protobuf APIs and designing clean service contracts across service boundaries Strong database skills, such as PostgreSQL and/or MySQL; including schema design, query optimisation, and schema migrations at scale Experience with large-scale CI/CD systems and build tooling, designing, operating, or integrating with continuous delivery pipelines that serve large engineering organisations or external operators at scale Comfort working with Kubernetes and containerised deployment environments, including patterns for operating stateful workloads and multi-tenant clusters Experience with observability tooling: OpenTelemetry, Prometheus metrics, structured logging, and distributed tracing Familiarity with dependency injection patterns (e.g., Google Wire) and clean, testable service architecture What are your "nice to have" technical competencies? Experience with TypeScript and React for contributing to frontend features and collaborating closely with frontend engineers Experience with Grafana's LGTM+ observability stack (Loki, Mimir, Tempo, Pyroscope, Alloy) Prior experience at or building for large-scale cloud service providers, IaaS providers, or global enterprises with demanding SLA requirements Experience designing or operating large-scale build infrastructure artifact registries, distributed build caches, hermetic build systems (e.g., Bazel), or developer platform tooling In the United States, the compensation range for this role is $174,986 - $209,983 USD.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the US and Canada. The Opportunity: Grafana Enterprise is our composable observability platform focused on large-scale operators with security and regulatory requirements who need to self-operate their observability solutions. Grafana Enterprise features are also part of our Grafana Cloud service. Grafana Cloud is an integrated suite of observability applications offered as a service. It allows our customers to leverage the best open source observability software, including Prometheus, Mimir, Loki, and Tempo,  without the overhead of installing, maintaining, and scaling their own observability stack. The Grafana Enterprise team is a diverse team of expert technologists working remotely from around the globe. The team focuses on innovative solutions to large-scale customer challenges and developing solutions that improve security, robustness, flexibility, multitenancy, and interoperability on behalf of our customers. We work across the larger Grafana Labs organisation and directly with external customers, including major cloud service providers and global enterprises running observability and build infrastructure at massive scale, to solve their most demanding distributed systems challenges. Our customers include software engineers, site reliability engineers, and platform operators at medium, large, and global enterprises. As a company we are remote-only and global; we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. Our meetings tend to happen between 14:00 and 17:00 UTC, but we are flexible and responsive to the needs of our engineers and our customers. We measure ourselves by our openness, helpfulness, and our shared successes. We are looking for experienced software engineers who are passionate about distributed systems and building reliable, scalable backend infrastructure to join our growing team. Our backend is Go, and we build tools for people operating some of the world's largest observability and software delivery stacks. Backend Engineers at Grafana also contribute to open source communities. What You’ll Be Doing: Earning the trust of our large-scale operator customers to further Grafana's "big tent" philosophy of data accessibility and to meet clear business objectives Designing and leading the development of backend services, distributed systems, and enterprise features at scale Driving continuous improvement of our engineering culture through words and actions Driving projects from initial ideation through the development lifecycle to production Contributing to the scalability, reliability, security, and multi-tenancy of the Grafana platform trusted by some of the world's largest operators Owning the operational health of our platform by participating in weekday 12h x 5d and separate weekend 24h x 2d on-call rotations. (Yes, we prioritize ops load reduction.) Hiring and developing the best engineers to build the future of Grafana Developing your skills as a thought leader to drive continuous improvement of engineering and operational practices across Grafana Labs As we are remote-first, we provide guidance and meet regularly using video calls, so strong teamwork and excellent written and interpersonal communication skills are a must. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.7, Gemini 3 Pro). What Makes You a Great Fit: You work well as a communicative member of a team of engineering professionals. You earn trust by saying what you mean and doing what you say. You are customer focused and especially attuned to the needs of large-scale operators who rely on Grafana as critical infrastructure. You start with their needs and work backwards. You insist on the highest standards and work to develop the skills and knowledge of your fellow team members. You take on complex distributed systems challenges, break them down into digestible problems, and leverage your team and organization to deliver. You design modular solutions, deliver minimum loveable products, gather data and feedback, and then progress iteratively. What will you be doing? (Role specifics) As a Staff Backend Engineer, you will design and build the backend systems powering Grafana Enterprise — the platform trusted by the world's largest operators to run their observability and software delivery infrastructure. Hiring and developing the best engineers we can to deliver the future of Observability. Architecting and implementing distributed backend services in Go, with a focus on correctness, observability, and performance at scale Designing APIs and service contracts used by thousands of enterprise operators and cloud service providers Collaborating with Product and UX to shape features and partnering with frontend engineers to ship complete, end-to-end solutions Driving scalability and reliability improvements that matter to large-scale operators running Grafana in regulated, high-availability environments Engaging directly with large enterprise customers and cloud service providers to understand their requirements and translate them into robust engineering solutions Advocating for our customers at every stage of the development lifecycle What technical competencies are we looking for? Deep professional experience writing production services, from ideation through to production operations at scale Strong distributed systems fundamentals: replication, consistency models, partitioning, fault tolerance, and the trade-offs that come with operating at scale Demonstrated experience designing and operating systems for large-scale, high-traffic, high-availability, or multi-tenant environments, ideally in the context of infrastructure, observability, or software delivery platforms Professional experience building and consuming gRPC/protobuf APIs and designing clean service contracts across service boundaries Strong database skills, such as PostgreSQL and/or MySQL; including schema design, query optimisation, and schema migrations at scale Experience with large-scale CI/CD systems and build tooling, designing, operating, or integrating with continuous delivery pipelines that serve large engineering organisations or external operators at scale Comfort working with Kubernetes and containerised deployment environments, including patterns for operating stateful workloads and multi-tenant clusters Experience with observability tooling: OpenTelemetry, Prometheus metrics, structured logging, and distributed tracing Familiarity with dependency injection patterns (e.g., Google Wire) and clean, testable service architecture What are your "nice to have" technical competencies? Experience with TypeScript and React for contributing to frontend features and collaborating closely with frontend engineers Experience with Grafana's LGTM+ observability stack (Loki, Mimir, Tempo, Pyroscope, Alloy) Prior experience at or building for large-scale cloud service providers, IaaS providers, or global enterprises with demanding SLA requirements Experience designing or operating large-scale build infrastructure artifact registries, distributed build caches, hermetic build systems (e.g., Bazel), or developer platform tooling In Canada, the compensation range for this role is $186,368 - $223,642 CAD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

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

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

Location: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a full-time remote opportunity. We are considering candidates from US and Canada only (EST time zone). The opportunity: Grafana Labs is building a native experimentation platform: a Grafana app that lets teams define A/B tests, connect them to feature flags and product telemetry, and get trustworthy, statistically sound answers about what their changes actually did. It started as a hackathon project and is now used by Grafana engineering and product teams in our internal environment to run real experiments. The next step is to make it a first-class product: one we rely on every day internally and, over time, one we offer to Grafana Cloud customers alongside Frontend Observability, Session Replay and our other user-experience capabilities. You'll join the Product Analytics team , a group of highly technical product analysts who help teams across Grafana understand how our products are used and run experiments on them. As the team's dedicated software engineer, you'll own the engineering of the experimentation app and have a lot of influence over where it goes. You'll partner closely with data scientists on the statistics, data engineers on event pipelines and the data warehouse, software engineers across Grafana on feature flags, Frontend Observability and the App Platform, and product stakeholders who rely on experiment results to make decisions. This is a hands-on engineering role that ships production code. It is not an analyst role. About the product: The experimentation app is built on the Grafana App Platform: Frontend: a TypeScript and React app plugin using @grafana/ui, plus a custom datasource plugin that powers experiment statistics panels. Backend: Go, built with the Grafana App SDK. Experiments are Kubernetes-style custom resources defined in CUE, with an operator, admission webhooks, and support for declarative, GitOps-style management. Feature flags: integration with OpenFeature and the OpenFeature Remote Evaluation Protocol (OFREP) , Grafana's multi-tenant feature toggle service, and an embedded GO Feature Flag evaluator. Statistics engine: a Bayesian analysis engine (TypeScript, with a Go port) that produces a direction-aware verdict per metric, probability to be best, credible intervals, expected loss and sample-size recommendations. Data: experiment exposure and outcome events flow from product instrumentation through RudderStack into BigQuery, or from Grafana Faro into Loki, and are queried live through Grafana datasources. AI: experiment authoring assisted by Grafana Assistant , which discovers relevant data and drafts the experiment configuration for a human to review. What You’ll be doing: Evolve the experimentation app from internal tool to product. Full ownership of features end to end across the React frontend and Go backend, from problem framing and design through rollout, measurement and iteration. Build the experimentation experience. Develop intuitive workflows for defining hypotheses, configuring experiments and metrics, managing their lifecycle, and exploring results. Make these experiences useful for product managers and analysts as well as engineers. Make instrumentation easier to adopt and trust . Evolve the experimentation SDK and its OpenFeature and Faro integrations. Help teams connect variant assignment, actual exposure, and outcome events with consistent identity and event contracts. Connect experiments to the rest of Grafana’s user-experience stack. Integrate with Grafana Faro and Frontend Observability so flag exposures and outcomes are captured automatically, and link experiment results to Session Replay and critical user journeys so teams can see why a variant won, not only that it won. Harden the statistics and analysis path. Work with our data analysts to extend the statistics engine, and make analysis scalable, cost-aware and correct. Examples include moving computation server-side, scheduled analysis, alerting on experiment health, and guardrails against misleading results. Use AI where it genuinely helps. Extend the Grafana Assistant integration for authoring, explaining and reporting on experiments. Raise the engineering bar. Mentor teammates, including analysts who contribute code, through code review, pairing and design docs. Write the architecture decision records (ADRs), docs and demos that help other teams adopt experimentation. Own what you ship. Take part in on-call for the services you build, and support the internal teams that run experiments on them. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google. What makes you a great fit: We highly value people who are intellectually curious, default to transparency, have a strong bias towards action, and are kind and enjoy working as a team. Strong full-stack engineering experience. You’ve built and operated production web applications with TypeScript and React, and backend services in Go (or a similar language, with willingness to work in Go). You value maintainability, automated testing and secure development practices. Experience building an in-house platform or integrating existing experimentation and A/B testing platform (for example Statsig, Eppo, GrowthBook, Optimizely, LaunchDarkly experiments, or an in-house platform). Product and data intuition. You care whether what you shipped actually moved the needle, and you’re comfortable working with event data, SQL and data warehouses such as BigQuery. Technical ownership. You’ve delivered complex projects with minimal supervision, broken them into short feedback loops (analyze, design, ship an MVP, learn, iterate), and helped teammates work more effectively. Operational responsibility. You’ve been on call, supported software in production, and know how to make systems observable and debuggable. Pragmatic AI usage. You use AI coding tools thoughtfully, validate their output, and share practices that improve the team’s speed and quality. Clear communication. You can explain technical and statistical tradeoffs to engineers, analysts and product managers in a fully remote, asynchronous environment. Bonus Points For: Hands-on experience with feature flags and OpenFeature. A working understanding of experiment statistics: Bayesian or frequentist testing, sample sizing, variance reduction, and common pitfalls such as peeking and sample ratio mismatch. Experience with Kubernetes concepts: custom resources, operators, admission webhooks, GitOps. Experience building Grafana plugins or apps, or with the Grafana App SDK or Scenes. Familiarity with frontend observability and product analytics tooling, such as Grafana Faro, RUM, session replay, RudderStack or Segment. Open source contribution or maintainership. Experience as a user of Grafana, Prometheus, Loki or Tempo, whether at work or on a homelab. Compensation & Rewards: In US, the base compensation range for this role is USD $167,000 - $209,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .