Talablar:
— HTML, CSS, JavaScript
— React, Vue yoki Angular
— Python, Node.js yoki PHP
— REST API, SQL, Git
— PostgreSQL yoki MySQL
— Web xavfsizligi asoslari
Vazifalar:
— Kompaniya saytlari va web-platformalarini ishlab chiqish
— Frontend va backend qismlarini yaratish
— API va CRM/ERP tizimlari bilan integratsiya
— Telegram botlar va web-servislar bilan ishlash
— Ma’lumotlar bazasi, sayt tezligi va xavfsizligini optimallashtirish
Qo‘shimcha ustunliklar: Odoo, Django, FastAPI, Docker, Linux, Telegram Bot API va CRM/ERP tajribasi.
Задачи:
— Разработка и доработка backend на PHP (Symfony) и frontend на React/TypeScript.
— Проектирование и поддержка интеграций по REST API, работа с очередями сообщений RabbitMQ.
— Работа с данными в PostgreSQL: структура хранения, оптимизация запросов.
— Реализация механизмов автогенерации файлов (отчёты, протоколы, документы) и обработки транзакционных файлов.
— Оценка трудоёмкости задач, проектирование решений, написание тестов к своему коду.
— Работа по автоматизированному процессу сборки и деплоя на GitLab CI.
Требования:
— Высшее техническое образование (ИТ, прикладная математика или информатика, радиоэлектроника, физика).
— Опыт в ИТ от 3 лет, в том числе за последние 4 года.
— Уверенное владение PHP и/или JavaScript/TypeScript, опыт с Symfony и/или React.
— Знание PostgreSQL, RabbitMQ, Git, Linux на рабочем уровне, понимание ООП.
— Навыки кроссбраузерной и адаптивной вёрстки, если работаете с JavaScript/TypeScript.
— Отсутствие административного наказания в виде дисквалификации и конфликта интересов с заказчиком.
— Плюсом будет опыт с Zend, написание автотестов, опыт работы с YouTrack.
Условия:
— Рабочее время по графику заказчика: пн–пт с 9:00 до 18:00 по Москве, обед 13:00–14:00.
— Время работы по задачам фиксируется в трекере заказчика, учёт идёт с момента принятия задачи в работу.
— Заказчик вправе установить на рабочее оборудование ПО, контролирующее рабочие операции и скорость выполнения задач.
— Возможна необходимость присутствия на объектах ИТ-инфраструктуры заказчика и участия во встречах очно или онлайн.
— Работа по почасовой модели с прозрачным учётом времени.
Задачи:
— Проводить code review решений коллег и изменений, сделанных ИИ-агентами, объяснять замечания и показывать, как сделать лучше.
— Вводить в работу новых участников команды, включая стек, архитектуру проектов, принятые практики и приемы работы с ИИ-агентами.
— Быть наставником для коллег, в том числе нетехнических, консультировать по архитектуре и коду, разбирать их решения и готовить примеры.
— Выбирать стек, библиотеки и веб-фреймворки для Python и JavaScript с учетом требований, нагрузки, масштабирования и удобства сопровождения.
— Проектировать frontend и backend: REST API, модели данных, аутентификацию и авторизацию, интеграции.
— Декомпозировать задачи для ИИ-агентов, задавать технический контекст и критерии готовности, проверять изменения в Git.
— Вести debugging и рефакторинг, организовывать unit-, интеграционные и end-to-end тесты.
— Создавать переиспользуемые компоненты, шаблоны приложений и API-интеграции для разных компаний.
Требования:
— Желание регулярно заниматься code review, онбордингом и наставничеством.
— Умение объяснять технические решения простым языком, в том числе коллегам без опыта разработки.
— Готовность работать в офисе в Москве (м. Курская) минимум 4 дня в неделю.
— Базовое понимание ИИ, включая общее представление о работе LLM, промптах, контекстном окне, ошибках моделей и их проверке.
— Опыт использования ИИ-инструментов в работе, таких как чат-ассистенты, ассистенты в IDE или coding agents.
— Опыт fullstack-разработки и запуска веб-приложений в production.
— Уверенное владение Python и JavaScript, опыт разработки backend и frontend.
— Знание HTML/CSS, веб-фреймворков и клиент-серверной архитектуры.
— Практические навыки REST API, HTTP, SQL, Git, Docker и автоматизированного тестирования.
— Понимание проектирования API и баз данных, прав доступа, обработки ошибок и логирования.
— Умение проводить рефакторинг, разбирать зависимости и находить причины ошибок.
Дополнительные преимущества:
— Опыт в роли техлида, тимлида или ментора.
— Углубленное знание LLM (embeddings, RAG) и опыт настройки coding agents.
— Знание архитектуры корпоративных ИТ-систем и интеграций.
— Знание .NET.
Условия:
— Работа в офисе в Москве, м. Курская, минимум 4 дня в неделю.
— Реальные задачи разных бизнесов, участие в выборе технологий, роль наставника в команде и совместная работа с аналитиками, преподавателем и специалистами по инфраструктуре.
Для отклика необходимо прислать резюме, при наличии портфолио или ссылок на проекты добавить их к отклику, а также в сопроводительном письме ответить на вопросы о опыте code review, онбординга или наставничества, используемых ИИ-инструментах и готовности работать в офисе.
Location: Remote Canada
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
The Auth Experiences team is looking for a passionate Staff Software Engineer to help set technical direction and build the next generation of web and mobile experiences for Affirm customers.
Auth Experiences owns key moments in Affirm’s checkout flow, allowing customers to access Affirm's services, while ensuring that fraud is kept to a minimum. Our systems power critical consumer journeys across thousands of merchants and multiple countries. We manage web and mobile experiences, building User Interfaces, as well as backend orchestration layers. We focus heavily on ensuring a great customer experience with high conversion and security. As a staff engineer, you will lead significant technical initiatives, drive the architecture and evolution of the product, and mentor the team to build highly reliable software.
What You'll Do
· You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
· You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
· You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
· You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
· You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
· You have 8+ years of experience of developing and architecting web applications using declarative UI frameworks like React or Vue.
· You are proficient in working with Javascript/Typescript.
· You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
· You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
· Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
Base Pay Grade
- P
Equity Grade
- 7
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
CAN base pay range per year:
CAD $181,000 - $241,000
Location - Remote Canada
This remote role is open only to candidates residing in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan.
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Location: Remote US
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
The Auth Experiences team is looking for a passionate Staff Software Engineer to help set technical direction and build the next generation of web and mobile experiences for Affirm customers.
Auth Experiences owns key moments in Affirm’s checkout flow, allowing customers to access Affirm's services, while ensuring that fraud is kept to a minimum. Our systems power critical consumer journeys across thousands of merchants and multiple countries. We manage web and mobile experiences, building User Interfaces, as well as backend orchestration layers. We focus heavily on ensuring a great customer experience with high conversion and security. As a staff engineer, you will lead significant technical initiatives, drive the architecture and evolution of the product, and mentor the team to build highly reliable software.
What You'll Do
· You will be responsible for setting technical strategy for your team on a year-long time scale, and help your team tie it together with critical, business-impacting projects.
· You will collaborate across teams in the product development lifecycle by collaborating with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
· You will act as a force-multiplier for your team through your definition and advocacy of technical solutions and operational processes.
· You take ownership of your team’s operations and availability by ensuring you have the right monitoring, triage rotations, playbooks, polcities, testing and alerting in place to support “keep the lights on” & on-call efforts.
· You will foster a culture of quality and ownership on your team by setting code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
· You will help develop talent on your team by providing feedback and guidance, and leading by example.
What We Look For
· You have 8+ years of experience of developing and architecting web applications using declarative UI frameworks like React or Vue.
· You are proficient in working with Javascript/Typescript.
· You have experience delivering major features, system components or deprecating existing functionality in a system through the definition of a technical and execution plan. You write high quality code that is easily understood and used by others.
· You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
· Your growth and impact trajectory demonstrates that you have mastered gathering and iterating on feedback from your engineering and cross-functional peers.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
· This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
Base Pay Grade
- P
Equity Grade
- 13
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)
USA Pacific base pay range (CA, WA, NY, NJ, CT):
$230,000 - $290,000
USA Sapphire base pay range (all other U.S. states):
$204,00 - $264,000
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
Задачи:
— Разработка fullstack-приложений с использованием Angular 17, TypeScript, Node.js и NestJS.
— Работа с базами данных PostgreSQL и Redis.
Требования:
— Опыт работы не менее 4 лет.
— Владение технологиями Angular 17, TypeScript, Node.js, NestJS, PostgreSQL, Redis.
Условия:
— Удалённая работа из России или Беларуси.
Обязанности: Разработка и сопровождение программных решений для автоматизированных систем, обеспечивающих обмен данными и управление различными компонентами. Создание модулей для формирования пользовательских алгоритмов в рамках системных процессов.
Location: Remote Spain
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
The International Accelerator Engineering team is growing, and we're looking for a Senior Software Engineer to join us! We're a full-stack team located entirely in Europe within the same time zone, but culturally rooted in Silicon Valley. We directly improve the financial lives of over 20 million people shaping how Affirm builds Direct-to-Consumer products for Canada, the UK, and future international markets. We build and own various products used by our consumers, like the Affirm App and other Direct to Consumer products across international markets. We are here to make sure we reach and provide useful tools to our users so they can experience honest financial products at their fullest.
Our work is agile and fast-paced, shipping new code to production for millions to use across geographies and rigorously measuring the impact it has on them. This role rewards curiosity, ownership, ability to zoom in and out, switch contexts often, also in an open contribution model, and a builder's mindset. You'll know exactly what your objectives are, you'll have what you need to hit them, and you'll choose your own path to get there, while constantly looking for ways to get AI to increase productivity on a daily basis. You'll learn quickly from experienced teammates and grow your craft on problems that matter at scale.
If you want to build something new and operate it at scale – come join us!
What You'll Do:
You will be responsible for owning and delivering quarterly goals for your team, leading engineers on your team through ambiguity to solve open-ended problems, and ensuring that everyone is supported throughout delivery.
You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
You will proactively identify project, process, technology or business issues, advocate for them, and lead in solving them.
You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
You will foster a culture of quality and ownership on your team by setting or improving code review and design standards for your team, and advocating for them beyond your team through your writing and tech talks.
You will help develop talent on your team by providing feedback and guidance, and leading by example.
On-Call Rotation - There would be an on-call rotation for this role as a requirement.
What We Look For:
· You have a total of 4+ years of experience as a software engineer.
· You are experienced in designing, developing and launching backend systems at scale technologies like Python, Kotlin, AWS, MySQL, and Kubernetes.
· You have experience shipping web apps using declarative UI frameworks like React or Vue.
- You efficiently use AI to assist you to deliver high quality products on a daily basis
· You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others.
· You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely.
· Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders.
· You have strong verbal and written communication skills that support effective collaboration with our global engineering team.
Compensation & Benefits
Pay Grade - N
Equity Grade - 4
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
ESP base pay range per year: €86,000 - €122,000
Additional benefits include:
• Flexible Spending Wallets for tech, food and lifestyle
• Away Days - wellness days to take off work and recharge
• Learning & Development programs
• Parental benefits
• Employee Resource & Community Groups
Location - Remote Spain
We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role.
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
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 applications from the UK, Ireland, Sweden, Spain and Germany.
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 Sweden, the Base compensation range for this role is SEK
814,000
- SEK
1,017,000
. 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.
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: Germany (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 applications from the UK, Ireland, Sweden, Spain and Germany.
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 Germany, the base compensation range for this role is €
100,000 - €125,000
. 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
.
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 applications from the UK, Ireland, Sweden, Spain and Germany.
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 Spain, the base compensation range for this role is €85
,000 - €107,000
. 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
.
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 applications from the UK, Ireland, Sweden, Spain and Germany.
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 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 throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: United Kingdom (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 applications from the UK, Ireland, Sweden, Spain and Germany.
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 the UK, the base compensation range for this role is £94
,000 - £118,000
. 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
.
-5-6+ years of software engineering experience with strong hands-on Python, FastAPI, PostgreSQL DB, and microservices. -Strong experience designing AI architecture and building scalable production AI systems using LangChain/LangGraf, RAG, embeddings, reranking, and multi-agent workflows.
• Build and maintain functionality in our React Native SDK, including brownfield integration into partners’ host apps. • Debug the full request path: mobile client, network, BFF, and external services.
Задачи:
— Поддержка существующего кода, создание нового функционала и интеграций на PHP, включая работу с маркетплейсами.
— Работа с легаси кодом и использованием Symfony.
— Реализация обмена с 1С и собственной CRM, оптимизация кода, повышение производительности и рефакторинг.
— Написание SQL-запросов и создание миграций.
— Работа с системами аналитики и метриками для сбора статистики.
— Верстка и реализация клиентской части на JavaScript, поддержка и улучшение существующего кода.
— В перспективе интеграция современных фронтовых технологий и фреймворков для обеспечения простоты, надежности и гибкости клиентской разработки.
Требования:
— Опыт коммерческой разработки на PHP (Symfony, Laravel или аналог) от 3 лет.
— Навыки командной разработки и поддержки общей кодовой базы.
— Опыт подготовки микросервисов к развертыванию (деплою).
— Практические знания MySQL, PostgreSQL, Doctrine, миграций.
— Опыт работы с JavaScript, jQuery и его библиотеками.
— Работа с Node.js, npm, gulp.
— Умение адаптивно и кроссбраузерно верстать с использованием flexbox.
— Знание и использование препроцессоров SCSS, LESS.
— Знакомство с Bootstrap 5.
— Умение работать с шаблонизатором Twig.
— Опыт работы с Git.
— Опыт работы с брокерами сообщений (RabbitMQ или аналоги).
— Навыки проектирования и разработки собственного API, интеграция со сторонними сервисами.
— Уверенное владение Docker и Docker Compose.
— Работа с макетами в Figma.
— Знание принципов работы серверов Apache, NGINX.
— Опыт работы с высоконагруженными сервисами.
— Опыт написания юнит-тестов.
Условия:
— Удаленный режим работы и гибкий график.
— Полный онбординг за 3 месяца.
— Работа по Kanban, поддержка agile coach.
— Соблюдение баланса жизни и работы.
УдалённоmiddleГеография найма не уточнена
Офис
lead
Москва
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