Для заказчика Первый Бит ищем специалиста для внедрения методологии DevOps и развития системы, используемой сотнями клиентов по всему миру. Проект высоконагруженный, работает на сотнях серверов, включает монолит и микросервисную архитектуру.
Задачи:
– сопровождение и развитие процесса CI/CD
– настройка мониторинга сервисов
– помощь разработчикам в организации тестовых и рабочих сред
– стандартизация решений и подходов
– участие в проработке архитектурных решений
– взаимодействие с командой разработчиков и ops
Требования:
– опыт построения CI/CD процессов
– опыт работы с дата-центрами
– опыт работы с Gitlab CI, Vault, Docker, Ansible
– опыт работы и сопровождения nginx, балансировщиков
– опыт работы с брокерами сообщений RabbitMq, Kafka
– опыт работы с S3 (minio)
– опыт администрирования Linux
– опыт настройки мониторинга сервисов (Zabbix / Prometheus+Grafana)
– понимание масштабирования и отказоустойчивой инфраструктуры
– понимание работы сетей, широкий технический кругозор
Задачи:
— Разработка высоконагруженных backend-сервисов и внутренних API на Go.
— Проектирование и развитие микросервисной и распределённой архитектуры: идемпотентность, консистентность, retries, deadlines, отказоустойчивость.
— Написание конкурентного кода на goroutines, channels и примитивах синхронизации.
— Проектирование REST/gRPC API и согласование контрактов с другими командами.
— Асинхронное взаимодействие сервисов через брокеры (Kafka, NATS, RabbitMQ).
— Работа с БД: проектирование схем, индексы, оптимизация запросов, транзакции; Redis для кэша и хранения.
— Профилирование и оптимизация: CPU, память, аллокации, GC, throughput и latency.
— Тестирование: unit- и integration-тесты.
— Docker и Kubernetes: деплой, ресурсы, health checks.
— Участие в построении CI/CD.
— Мониторинг, логирование, трейсинг, алерты и дашборды.
— Code review, участие в архитектурных решениях и техдизайне.
— Управление техдолгом и рефакторинг.
— Разбор production-инцидентов, повышение надёжности.
— Документирование технических решений.
Требования:
— Коммерческая разработка от 5 лет, из них опыт production-разработки на Go от 3-4 лет.
— Глубокое знание Go: goroutines, channels, примитивы синхронизации, паттерны конкурентности, memory model, GC, runtime.
— Опыт написания конкурентного кода без гонок данных.
— Умение профилировать и оптимизировать приложения с помощью pprof (CPU, память, аллокации).
— Опыт работы с generics.
— Понимание сетевого программирования.
— Опыт разработки высоконагруженных и распределённых систем.
— Опыт проектирования микросервисной архитектуры.
— Понимание event-driven архитектуры и асинхронного взаимодействия между сервисами.
— Сильные навыки System Design.
— Понимание принципов отказоустойчивости: retries, deadlines, идемпотентность, консистентность данных.
— Опыт проектирования и разработки HTTP / REST / gRPC API.
— Уверенное знание SQL и PostgreSQL или MySQL: сложные запросы, CTE, оконные функции, индексы, транзакции, оптимизация.
— Опыт работы с NoSQL-хранилищами.
— Практический опыт работы с Redis.
— Опыт работы с одним или несколькими брокерами сообщений: Kafka, NATS/JetStream, RabbitMQ.
— Опыт работы с Docker и Kubernetes: деплой, управление ресурсами, health checks, readiness/liveness probes.
— Опыт работы с Git и CI/CD (GitLab CI, GitHub Actions, TeamCity или аналоги).
— Хорошее понимание Linux, сетей и TCP/IP.
— Опыт написания unit- и integration-тестов.
— Опыт работы с мониторингом (Prometheus, Grafana), логированием и трейсингом.
— Опыт проведения code review и участия в принятии архитектурных решений.
— Умение документировать технические решения.
Будет плюсом:
— Опыт построения observability: OpenTelemetry, Jaeger, ELK.
— Опыт работы с CI/CD и GitOps: ArgoCD и аналоги.
— Опыт работы с распределёнными и NoSQL-базами данных: ClickHouse, MongoDB, YDB, CockroachDB.
— Опыт работы с IAM, OAuth2/OIDC, mTLS и безопасным межсервисным взаимодействием.
— Знание Python для скриптов, автоматизации и работы с legacy-кодом.
Условия:
— Поток действительно интересных проектов, релевантных твоему опыту и с учетом текущей загрузки.
— Формат работы 5/2, полная или частичная занятость.
— Оформление в удобном для тебя формате: ИП или самозанятость.
— Полная удаленка.
— Возможность менять проекты внутри компании — с учётом твоей экспертизы, интереса и текущей загрузки.
— Прозрачность условий и коммуникации, поддержка на всех этапах до выхода на проект и во время работы.
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.
The Opportunity:
Grafana Labs is looking for an
Majors Account Executive, Key Customers
who will be responsible for prospecting and growing existing business across the
West region
. You will identify, nurture and close opportunities with existing customers. You will manage forecasts and track customer data. We're strong proponents of a consultative sales approach - learn about the customer's needs first before talking about our products. Your expertise will be critical in helping articulate the value of our products, work with the customer during the trial phase and hand off a strong relationship to our Customer Success team.
What You’ll Be Doing:
Identify new opportunities to expand Grafana usage within 3-5 top existing accounts across multiple functions and business lines.
Develop and maintain strong relationships at Executive level in current customers
Create and execute strategic plans for defined account set
Meet and exceed individual quarterly and annual sales goals
Manage all aspects of the sales process (prospecting, sales meetings, product demos, proofs of concept, proposals, negotiations and account management)
Cultivate sales through outbound prospecting and inbound leads
Be able to understand and convey the value of both Grafana Cloud and Grafana Enterprise
Become an expert in managing your sales pipeline in Salesforce
Manage quote creation, order processing, and day-to-day customer requests
What Makes You a Great Fit:
8+ Years of Experience in Infrastructure Technology Sales
Demonstrated history of consistent goal achievement in a highly competitive environment (top 10% performer)
Energetic, upbeat, entrepreneurial, tenacious team player
Adaptable and with demonstrable experience in high velocity technology companies
You will need to be an excellent communicator in all channels (in person, online, in writing) and able to form strong working relationships both in person and virtually
Bonus Points For:
Experience using Salesforce
Familiarity with open source technology is a significant advantage
Experience using Command of the Message and MEDD(P)ICC is ideal
Compensation & Rewards:
In the USA, the OTE (On-Target Earnings) compensation range for this role is 360,000-380,000. 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
.
Задачи:
— Проектирование, внедрение и поддержка DevOps-инструментов для дата-пайплайнов и платформ.
— Поддержка и автоматизация ETL-воркфлоу (например, Spark, Airflow).
— Создание и управление мониторингом и наблюдаемостью качества данных (DBT), дата-пайплайнов и систем хранения.
— Внедрение и поддержка инфраструктуры хранения данных на AWS (S3, EC2, сеть).
— Интеграция и поддержка Project Nessie как транзакционного каталога для Data Lakes с семантикой, похожей на Git.
— Тесное взаимодействие с Data Engineers для обеспечения плавного деплоя, версионирования и масштабирования дата-задач и пайплайнов.
— Автоматизация деплоя и CI/CD процессов с использованием GitLab CI/CD.
— Обеспечение лучших практик безопасности при работе с чувствительными данными.
— Написание автоматизации инфраструктуры на Python, Bash, Ansible.
— Документирование систем, пайплайнов и DevOps-процессов.
Требования:
— Опыт 5+ лет в DevOps / IT Ops / DataOps с практическим опытом работы с инфраструктурой, связанной с данными.
— Глубокие знания Linux (сеть, настройка ядра, оптимизация производительности).
— Практический опыт работы с Airflow, ClickHouse, DBT, Spark и Project Nessie.
— Солидные знания AWS (S3, EC2, IAM, сеть).
— Владение скриптингом и автоматизацией (Python, Bash, Ansible).
— Опыт работы с CI/CD пайплайнами (GitLab).
— Опыт с мониторинговыми стеками (Prometheus, Grafana, ELK).
— Знакомство с контейнеризацией и оркестрацией (Docker, Kubernetes).
— Понимание концепций управления данными.
— Сильные коммуникативные навыки и проактивный подход.
Желательно:
— Опыт работы с потоковой обработкой данных в реальном времени.
— Знание инфраструктуры как кода (Terraform).
— Знакомство с безопасностью в дата-инжиниринге (IAM, шифрование, контроль доступа).
— Опыт работы с высокопроизводительными системами или в торговой среде.
Описание проекта
Информационно-аналитическая веб-платформа для профессиональных участников финансового рынка (биржевые данные, аналитика, новости). Микросервисная архитектура, высокая цена ошибки в данных. Перестраиваем разработку под модель, где большую часть кода пишут AI-агенты, а инженер — постановщик задач, архитектор и контролёр качества.
Задачи:
— закрывать несколько ролей: системный анализ → проектирование → реализация → базовое QA → вывод в прод
— постановка задач с проверяемым результатом
— декомпозиция фичи: что делаем сами, что отдаём агенту, что согласуем
— лидирование разработки: планирование, код-ревью, менторинг
— end-to-end ownership: фича от идеи до прода
Требования:
— backend-разработка от 5 лет, из них часть на Python
— писать надо будет на Python
— микросервисы, понимание их слабых мест
— SQL, проектирование реляционных БД; PostgreSQL, MongoDB
— паттерны (Repository, Service, Unit of Work), DDD, CQRS
— Docker, Kubernetes (основы), CI/CD (GitLab CI), мониторинг (Prometheus, Grafana, ELK)
— работа с нечёткими требованиями: user stories, критерии приёмки, ТЗ
— опыт с AI-ассистентами (Claude Code, Cursor, Copilot): делегация задач, инженерия контекста, критическая верификация результата
— лидирование разработки от 2 лет
— быстрая обучаемость, системное мышление, самостоятельность
— готовность совмещать роли и работать в высоком темпе
— в резюме до отклика обязательно указать опыт с задачами СА и AI-инструментами (что, для чего, результат)
Будет плюсом:
— REST API (CRUD, пагинация), обратносовместимые API
— Kafka, RabbitMQ, потоковая обработка ETL, Apache Airflow
— PostgreSQL FTS, ElasticSearch, WebSocket
— OAuth/OpenID, Keycloak, RBAC/ABAC
— Yandex Cloud, Golang, Django
— опыт с финансовыми/биржевыми данными
Условия:
— грейд: Senior
— загрузка: 100%
— срок подключения: до конца года с продлением
— отпуск: не ранее чем через полгода
Location: Bangalore, India
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
As a Staff Site Reliability Engineer (SRE) at GitLab, you’ll help keep all user-facing services and production systems reliable, scalable, and efficient. Our SREs combine a pragmatic operations mindset with strong software engineering practices to drive automation, reduce toil, and improve resilience across our platform.
In the Environment Automation specialization, your focus is on operating and automating hundreds of GitLab environments—from initial provisioning to day-to-day maintenance tasks.
Unlike other SRE roles, this position centers on automating the lifecycle of many tenant environments, ensuring they remain secure, consistent, and reliable at scale.
Some examples of the projects you could work on:
Designing infrastructure automation that provisions and operates GitLab environments using Terraform, Ansible, and Kubernetes
Creating and maintaining deployment packages for GitLab, such as Helm Charts and omnibus-gitlab
Building and operating Dedicated GitLab instances integrated with cloud-native services (e.g., GCP, AWS)
Developing tools to orchestrate infrastructure-as-code workflows across multiple tenants
Deploying and managing microservices on Kubernetes clusters at scale
Enhancing GitLab’s observability stack (e.g., Prometheus, ELK) to support proactive monitoring and incident response
Integrating with and operating infrastructure in cloud provider ecosystems (e.g., IAM, networking, storage)
Championing and implementing cloud security best practices across automated infrastructure
What You’ll Do
Build & Scale Multi-Tenant Infrastructure:
Design and implement automation that provisions and manages hundreds of isolated GitLab environments using Terraform, Ansible, and Kubernetes. Manage complex state strategies and workspace configurations to support scale and maintainability.
Debug & Resolve Production Issues:
Troubleshoot issues across Kubernetes clusters, cloud services, and GitLab apps—identifying root causes of failed deployments, crash loops, and scheduling conflicts to ensure service continuity.
Automate Operations at Scale:
Replace manual workflows with infrastructure-as-code solutions, including automated version upgrades, configuration rollouts, and provisioning pipelines that operate reliably across all tenants.
Monitor & Predict Capacity:
Build observability systems that detect bottlenecks, predict usage trends, and optimize resource consumption using tools like Prometheus, ELK, and Grafana.
Respond & Lead During Incidents:
Lead incident response and postmortem efforts, applying technical depth to resolve issues and establish operational standards that reduce future risk.
Architect & Collaborate:
Influence architectural decisions around automation, scalability, and operational excellence. Partner with engineering teams to improve automation, platform resilience, and production-readiness.
On Call Support:
Take part in on-call or operational support where your team’s ownership model requires it.
What You’ll Bring
Production-Scale Experience:
Proven ability to operate and troubleshoot production workloads across multiple tenants or environments. Deep understanding of how distributed systems fail at scale and how to build in resilience.
Terraform & IaC Mastery:
Strong hands-on experience with Terraform, including workspace strategies, state management, and automation patterns that scale. Comfortable solving state isolation issues and building reliable, reusable infrastructure code. Experience with Ansible and templating tools like Jsonnet is a plus.
Kubernetes in Production:
Skilled at diagnosing deployment failures, interpreting pod logs, and debugging scheduling issues and rollback scenarios in live environments. Understands how pods, ReplicaSets, and controllers interact in production.
Programming & Code Analysis:
Ability to read and debug code in Go and/or Ruby. Familiar with identifying performance issues, scalability concerns, and contributing to infrastructure tooling through thoughtful code analysis.
Large Scale Operations Background:
Experience supporting infrastructure for many customers or environments simultaneously. Comfortable managing isolation, scaling, monitoring, and incident response across diverse workloads.
Architecture & Incident Response:
Able to reason through complex systems and operational challenges. Brings on-call experience and can lead technical discussions and incident resolution efforts under pressure.
Customer-Focused Collaboration:
Proven ability to work across teams and with internal or external customers to solve technical problems while maintaining service commitments and clear communication.
GitLab Platform Proficiency:
Comfortable using GitLab as a daily tool for infrastructure automation, collaboration, and operational workflows.
About the team
GitLab’s Dedicated team, where the SRE Environment Automation role sits, is on a mission to deliver a fully managed, single-tenant GitLab experience through the GitLab Dedicated platform. Our goal is to eliminate manual operations across the entire lifecycle of customer environments, including provisioning, upgrades, security, and monitoring, so customers can focus on unlocking the full potential of The One DevOps Platform without managing the underlying infrastructure. We build scalable, automated systems that ensure each GitLab Dedicated instance is secure, consistent, and production-ready—whether we're managing 10 environments or hundreds.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Задачи:
— проектирование, масштабирование и автоматизация сред (Prod/Stage/Test) через IaC (Terraform, Ansible)
— развитие и поддержка кластеров Kubernetes и Docker
— развитие пайплайнов в GitLab CI/CD для ускорения доставки кода
— развитие мониторинга, логов и алертинга (Grafana, Loki, Sentry)
— расследование production-сбоев, разбор причин, повышение отказоустойчивости
— внедрение DevOps-стандартов, инфраструктурное ревью, помощь разработчикам
Требования:
— опыт от 4 лет в DevOps/SRE, опыт в качестве Team lead
— уверенный Linux, Docker, Kubernetes
— практический опыт с GitLab CI, Terraform и Ansible
— опыт работы со связкой Grafana, Loki, Sentry
— умение расследовать инциденты и выстраивать отказоустойчивую архитектуру
Будет плюсом:
— опыт в Highload / Fintech проектах
— знание практик SRE (SLI/SLO, error budget)
— знание Python, Go или Bash
Условия:
— официальное оформление по ТК РФ, полностью «белая» зарплата
— IT-аккредитация (право на IT-ипотеку и отсрочку)
— ДМС после испытательного срока
— гибридный формат работы (3 дня в офисе, 2 — удалённо)
— возможность собрать команду под себя, влиять на технические решения и развитие инфраструктуры
Задачи:
— Создание и развитие IT решения в рамках команды, сосредоточенной на выделенном проекте.
— Реализация интеграционных решений и сервисов взаимодействия между внутренними и внешними системами.
— Разработка и поддержка backend и frontend части продукта, активное участие в Fullstack-цикле.
— Участие в выработке новых решений и вектора развития продукта, включая выбор оптимальных технологических стеков.
Требования:
— Высшее техническое образование.
— Опыт работы ведущим разработчиком (и выше) от 3-х лет.
— Опыт работы в Fullstack-роли (C# + React) приветствуется.
Технические навыки:
Backend (C# / .NET): уверенное знание C# dotnet ASP .NET Core, gRPC, EF Core; ООП, SOLID, паттерны проектирования; знание DDD, Onion/Clean/Vertical Slice архитектур, SOA, CQRS; опыт разработки микросервисной архитектуры.
Интеграции и API: опыт работы с REST API/gRPC; знание архитектуры REST API/gRPC/Web сервисов; опыт проработки архитектуры комплексных интеграционных решений.
Событийные архитектуры и брокеры сообщений: опыт работы с событийными архитектурами и брокерами сообщений; приветствуется опыт работы с библиотекой Rebus.
Базы данных: понимание архитектуры реляционных и векторных СУБД, опыт проектирования логической модели данных; уверенное знание T-SQL, опыт работы с MSSQL и PostgreSQL.
Frontend (React): опыт коммерческой разработки на React не менее 1 года; понимание современных подходов React (Hooks, Context, Suspense, React Query); приветствуется опыт работы с Module Federation для микрофронтендов; опыт использования UI-китов (Material-UI, Ant Design и аналоги) и кастомизации компонентов; знание стейт-менеджеров (Redux Toolkit, Zustand, MobX); опыт работы с TypeScript.
Контейнеризация и DevOps: опыт работы с Kubernetes, OpenShift, Docker; опыт построения мониторинга с Grafana stack/Otel; опыт работы с CI/CD процессами.
Методологии и инструменты: приветствуется опыт использования ИИ-инструментов, Spec-Driven Development, AI-агентов; ведение процесса с Jira, Confluence, GitLab; работа по Agile/Scrum.
Условия:
— Удалённый формат работы с возможностью гибрида в офисе в Москве.
— Гражданство РФ.
— Полная занятость, любой вид оформления (ТК РФ, ТД в приоритете).
Задачи:
— Разработка и поддержка backend-сервисов на Go;
— Развитие микросервисной архитектуры и REST/gRPC API;
— Работа с PostgreSQL, Redis и очередями сообщений;
— Разработка асинхронных процессов и интеграций;
— Написание тестов и участие в code review;
— Обеспечение надежности сервисов и разбор production-инцидентов.
Требования:
— Опыт в blockchain / crypto;
— Опыт работы с финансовыми транзакциями, балансами, ledger или billing;
— Опыт разработки wallet и deposit/withdrawal-сервисов;
— Знание OpenTelemetry, Prometheus, Grafana и других observability-инструментов;
— Понимание AML/KYC, PCI DSS или GDPR;
— Коммерческий опыт разработки на Go — от 3 лет;
— Опыт разработки и поддержки production backend-сервисов;
— Понимание микросервисной архитектуры;
— Опыт работы с PostgreSQL, Redis и Kafka / RabbitMQ / NATS или аналогами;
— Понимание транзакционности, идемпотентности и конкурентного доступа;
— Опыт написания тестов и работы с Docker;
— Базовое понимание Kubernetes;
— Знание HTTP, TLS, JWT/OAuth2, authentication/authorization;
— Умение писать читаемый, поддерживаемый и безопасный код.
Условия:
— Гибридный формат работы в Минске;
— Полная занятость;
— Оформление напрямую в штат;
— Долгосрочный проект.
Location: Paris; San Francisco
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
Mistral AI is building a new Compute Support team to ensure the reliability, performance, and scalability of our GPU clusters in a Kubernetes environment. As one of the founding members of this team, you will play a pivotal role in shaping its processes, standards, and culture.
In this hybrid L1/L2 support role, you will be the first point of contact for customers and internal teams, providing technical guidance, troubleshooting, and issue resolution for compute-related inquiries. You’ll also serve as the escalation point for complex issues, leveraging your deep systems knowledge, Kubernetes expertise, and operational debugging skills to ensure our AI workloads run smoothly at scale.
This is a support-focused role that blends system administration, customer-facing communication, and compute infrastructure expertise. While coding is not the primary focus, familiarity with Go for debugging and automation is a plus.
KEY RESPONSIBILITIES
FIRST CUSTOMER’S POINT OF CONTACT
- Act as the first interlocutor for customers and internal teams, providing timely and effective responses to compute-related inquiries.
- Triage and prioritize incoming requests, ensuring SLAs are met for acknowledgment, first response, and resolution.
- Gather and analyze initial issue details (e.g., logs, error messages, system metrics) to diagnose problems efficiently.
- Provide clear, actionable guidance to customers and internal users, including temporary workarounds where applicable.
TECHNICAL SUPPORT
- Serve as the L2 escalation point for Linux, Kubernetes, and compute infrastructure issues, providing deep technical troubleshooting for:
- GPU/TPU workloads (e.g., CUDA errors, memory leaks, job failures).
- Kubernetes clusters (e.g., pod crashes, node failures, networking misconfigurations).
- Bare metal and cloud environments (e.g., AWS EC2, GCP VMs, HPC clusters).
- Diagnose and resolve performance bottlenecks, hardware failures, and resource contention in distributed systems.
- Analyze system metrics, logs, and traces (e.g., dmesg, journalctl, nvidia-smi, Prometheus, Grafana) to identify root causes of issues.
- Participate in on-call rotations to provide 24/7 support for critical compute systems
- Nice to have: Optimize system configurations (e.g., kernel parameters, filesystem tuning, network settings) for high-performance computing (HPC) and AI workloads.
KUBERNETES & CONTAINERIZATION
- Debug Kubernetes clusters with a focus on:
- Pod and node issues (e.g., CrashLoopBackOff, OOMKilled, ImagePullBackOff).
- Networking and storage (e.g., CNI plugins, PersistentVolumes, StorageClasses).
- Resource management (e.g., Requests/Limits, QOS classes, node affinity).
- Troubleshoot container runtime issues (Docker, containerd) such as image pull failures, OCI compliance, or runtime errors.
- Collaborate with SRE teams to understand and improve existing IaC (Terraform, Ansible) and Go-based tooling.
DOCUMENTATION & PROCESS IMPROVEMENT
- Create and maintain runbooks, playbooks, and internal documentation for common compute issues (e.g., GPU debugging, Kubernetes troubleshooting).
- Contribute to post-mortems with actionable follow-ups to prevent recurring incidents.
- Train internal teams on best practices for compute infrastructure and debugging.
- Help define and refine support processes as a founding member of the new Compute Support team.
What We’re Looking For
REQUIRED SKILLS & EXPERIENCE
- 5+ years of experience in system administration, technical support, or infrastructure operations, with a strong focus on compute-heavy environments (bare metal, cloud, HPC, or virtualization).
- Deep Linux/Unix expertise:
- Debugging kernel-level issues (e.g., OOM killer, I/O bottlenecks, CPU throttling).
- Performance tuning (e.g., sysctl, ulimit, filesystem optimizations).
- Networking troubleshooting (e.g., iptables, tcpdump, DNS, NFS, SSH).
- Storage management (e.g., LVM, RAID, NVMe, GPU-local storage).
- Hands-on Kubernetes experience is mandatory:
- Debugging pods, nodes, and clusters (e.g., kubectl describe, kubectl logs, crictl).
- Networking and storage (e.g., CNI plugins, PersistentVolumes).
- Resource management (e.g., Requests/Limits, QOS classes).
- Familiarity with containerization (Docker, containerd) and basic IaC awareness Proficiency with monitoring tools (Prometheus, Grafana, ELK, OpenTelemetry).
- Basic scripting/automation skills (preferably Go, but Bash or Python are acceptable for ad-hoc tasks).
- Experience with bare metal, virtualization, or HPC environments (e.g., Fluidstack, Coreweave, Vast) is a strong plus.
- Excellent problem-solving and communication skills, with the ability to explain technical issues clearly and patiently to both technical and non-technical stakeholders.
- Customer-focused mindset with a passion for resolving issues efficiently and improving system reliability.
- Ability to work in on-call rotations and handle high-pressure situations with a structured, calm approach.
- Commitment to meeting tight SLAs for issue acknowledgment, triage, and first response.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Задачи:
— Полный цикл тестирования веб-приложений (функциональное, интеграционное, регрессионное)
— Тестирование мобильных приложений для iOS и Android (созданных на Flutter)
— Тестирование интеграций между микросервисами и внешними системами
— Анализ логов с помощью Grafana, Kibana
— Работа с базами данных
— Разработка и поддержка тестовой документации (чек-листы, тест-кейсы, тест-планы, TRR)
— Тесное взаимодействие с разработчиками, аналитиками и продуктовой командой для выявления и устранения дефектов
— Улучшение качества продукта и процессов тестирования/разработки
— Соблюдение процессов отдела
Требования:
— Опыт работы QA Engineer от 3 лет
— Практический опыт мобильного тестирования обязателен (Android Studio для отладки и тестирования)
— Опыт тестирования backend обязателен (REST API, Postman/Swagger, клиент-серверная архитектура)
— Понимание и практический опыт Agile методологий
— Глубокие знания тестирования веб и мобильных приложений
— Опыт работы с баг-трекерами и системами управления тестированием
— Опыт работы с реляционными базами данных
— Сильные навыки в процессах тестирования и разработки (планирование, анализ требований, улучшение процессов)
— Опыт написания тестовой документации (чек-листы, тест-кейсы, тест-планы)
— Владение инструментами анализа логов (Grafana, Kibana и др.)
— Самостоятельность и ответственность
— Английский язык на уровне Intermediate и выше (письменно и устно)
Желательно:
— Базовое понимание CI/CD и DevOps инструментов
— Инструменты перехвата трафика (Charles Proxy, Fiddler, Wireshark)
— Автоматизированное тестирование (Selenium, Cypress, Appium)
— Инструменты нагрузочного тестирования (JMeter)
— Базовые знания программирования и желание развиваться в автоматизации тестирования
— Опыт работы в финтехе
Условия:
— Полностью удалённая работа
— Гибкий график
— Конкурентная зарплата (обсуждается индивидуально)
Location: Remote, Poland; Armenia; Agios Athanasios, Cyprus; Tbilisi, Georgia; Kazakhstan; Portugal; Bucharest, Romania; Serbia
Workplace: fully
Simple Life
is the #1 AI-powered health coaching app for adults who want to lose weight and enjoy a healthier lifestyle—without the stress or extremes. Our mission is to empower people to feel their best every day. By challenging traditional, restrictive approaches, Simple offers a more sustainable method grounded in ease, personalization, and real-life support.
Simple has had over 17 million downloads and more than 300,000 5-star reviews, having helped millions lose weight successfully and sustainably. Simple has earned recognition as Best Virtual Coach and one of the Top 100 AI companies — all thanks to a dedicated global team driving real impact.
With SIMPLE as a partner in their pocket, users feel cared for and empowered to embrace — and stick to — new healthy habits. To learn more, visit
simple.life
.
We are looking for an experienced
IT Systems Engineer
who will join our
Internal IT team.
Push the pace of innovation and build a future of a healthier world with us!
What we can offer you to work on:
Provide technical support for ~300 employees / contractors;
Ensure security and reliability of approximately 300 Apple devices and 20–30 Windows / Android devices.
Manage team members identity and access, including on / off boardings;
Participate in SaaS tools procurement and inventory;
Participate in hardware equipment procurement and inventory;
Help us build and maintain the knowledge base of Internal IT domain;
Address potential and actual security breaches, escalating and / or resolving upon discovery;
Develop automated solutions as we grow (on / off boarding, etc);
Help us shape the processes and form of internal IT;
What we look for:
3+ years experience with MDM for macOS on 300+ devices;
3+ years experience managing Google Workspaces, Slack, Entra ID, Jira, Confluence, Cloudflare Zerotrust or similar services;
Understanding of the identity and access management in a SaaS-heavy environments;
Network basics: static routing, switching, core protocols, wireless;
Experience working with infrastructure as code - Our VPN configuration is defined in Terraform;
Experience programming with JavaScript / TypeScript / Python;
Comfortable communicating with diverse groups of people across the company;
At least 6 hours overlap with the office timezone (Cyprus);
Beneficial skills:
Deep macOS knowledge: hardening, CLI tools, specific setups (always on VPN and so on);
Deep Windows knowledge: internals, enrollment methods, security hardening, strong troubleshooting skills;
Experience with EDR solutions;
Experience with RBI / VDI solutions;
Experience with distributed logging / tracing;
Experience with Grafana / Prometheus;
Previous experience in dynamic product IT companies;
Perks and benefits:
Competitive salary package commensurate with experience;
Open-minded teams, a welcoming and inclusive company culture, plus the opportunity to make a real difference with a game-changing health tech product;
Flexible hours. We focus on your results, not how long you spend at your desk.
Location: Bangkok, Thailand
Workplace: hybrid
David Kennedy Recruitment
is working with a multinational financial services company specializing in online trading that is seeking to onboard a
Data Analyst
to join their team.
Position: Data Analyst
Location: Bangkok, Thailand
Work model: Hybrid
Employment type: full time.
RESPONSIBILITIES:
Analyze business data across deposits, withdrawals, trading volumes, customer behaviour, IB/partner structures, promotions, bonuses, and other key commercial areas
Identify anomalies, unusual trends, data discrepancies, and potential business risks and investigate their root causes
Reconcile data across CRM, trading platforms, internal ledgers, and other systems to ensure accuracy and consistency
Build, maintain, and automate recurring daily, weekly, and monthly reports for management and business teams
Translate complex datasets into clear findings, insights, and recommendations for non-technical stakeholders
Investigate business questions using data, including customer behaviour, churn, promotion performance, and the impact of operational or policy changes
Proactively identify growth opportunities and areas for business improvement through data analysis
Work closely with IT and AI teams to identify additional data requirements, queries, and datasets
Document data sources, methodologies, assumptions, and findings to ensure transparency and reproducibility
Continuously improve analytical processes and reduce reliance on manual reporting.
REQUIREMENTS:
Minimum 2 years of professional Data Analysis experience
Fluent in English both verbal and written
Strong SQL skills, including multi-table joins, window functions, and working efficiently with large datasets
Hands-on Python experience for data analysis using pandas, Polars, or similar tools
Strong analytical mindset with the ability to investigate anomalies and determine root causes
Ability to translate complex data into clear business insights and recommendations
Strong written and verbal communication skills, including presenting findings to non-technical stakeholders
Comfortable using AI tools such as ChatGPT, Claude, or similar solutions as part of analytical workflows
Strong ownership mentality with the ability to independently drive analytical tasks from question to conclusion
Experience within Forex/CFD, brokerage, fintech, payments, or another financial services environment is considered a strong advantage
Experience with financial reconciliation, dashboards, A/B testing, cohort analysis, or statistical analysis is considered an advantage
Knowledge of DuckDB, Polars, Grafana, Metabase, Looker Studio, or similar tools is considered an advantage.
OFFER:
Hybrid working model
Work with real business and trading data that directly influences company decisions
Modern analytics environment using SQL, Python, Polars, DuckDB, PostgreSQL, Grafana, and AI-powered analytical tools
Opportunity to automate and improve existing reporting and analytical processes
Direct exposure to commercial, trading, customer, and financial data within the Forex/CFD industry
Career development towards broader ownership of company analytics and data standards
And many more!
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 applicants located in Spain, Sweden, UK, Ireland or Germany.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
Compensation & Rewards:
In the United Kingdom, the Base compensation range for this role is GBP
103,958
- GBP
124,750
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: 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 applicants located in Spain, Sweden, UK, Ireland or Germany.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
Compensation & Rewards:
In Germany, the Base compensation range for this role is EUR
100,000
- EUR
125,000
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Republic of Ireland (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
Compensation & Rewards:
In the Republic of Ireland, the Base compensation range for this role is EUR
107,000
- EUR
134,000
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Sweden (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
Compensation & Rewards:
In Sweden, the Base compensation range for this role is SEK
878,578
- SEK
1,054,294
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Spain (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
Compensation & Rewards:
In Spain, the Base compensation range for this role is EUR
94,025
- EUR
112,830
. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
United States (Remote)
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Paris; San Francisco; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Remote, Poland; Armenia; Agios Athanasios, Cyprus; Tbilisi, Georgia; Kazakhstan; Portugal; Bucharest, Romania; Serbia; At least 6 hours overlap with the office timezone (Cyprus)
ГибридBangkok, Thailand
seniorUnited Kingdom (Remote); Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
seniorGermany (Remote); Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
seniorRepublic of Ireland (Remote); Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
seniorSweden (Remote); Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
seniorSpain (Remote); Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
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