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Senior Full Stack Engineer | Database Observability, Grafana Cloud | Spain | Remote

AI Summary
Grafana Labs is hiring a senior full-stack engineer to develop Database Observability experiences within Grafana Cloud. The role is primarily frontend-focused, using React and TypeScript, while also contributing to Go services and APIs where needed. The engineer will own projects from discovery through production rollout, collaborate closely with product and design partners, and use customer feedback to iterate. Responsibilities include mentoring, code review, customer-escalation support, and an on-call rotation for production systems. The role values observability knowledge, reliable software delivery, asynchronous remote collaboration, and pragmatic use of AI coding tools.
Remote from
UK, Spain, Germany+1 more, Ireland
Salary
EUR 85k–107k / yr
Employment
Full Time
Experience
Senior
Published
Apply before
6 Dec 2026
Listing views
31
Application actions
2
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Opportunity details

About this role.

Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X.

We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.

You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.

This is a remote opportunity and we would be interested in applications from the UK, Ireland, Spain and Germany.

About Grafana Cloud Observability

Grafana Cloud is our fully managed observability platform that integrates metrics, logs, and traces with Grafana. It allows our customers to use the best open source observability software, including Prometheus, Mimir, Loki, and Tempo, without the overhead of installing, maintaining and scaling their own observability stack.

Within the Observability department, we build products that help customers understand and troubleshoot their applications and infrastructure. We work closely with product management, design and other engineering squads to provide seamless and highly curated experiences for our customers.

The squad: Database Observability

We build and evolve Grafana Cloud Database Observability. We want to help users understand the health and performance of their databases, identify slow queries and troubleshoot issues through clear, actionable insights.

As a frontend engineer on the squad, you’ll build experiences that make complex database telemetry easy to explore and understand. You’ll work closely with backend engineers, product management and design to take ideas from early exploration through to production and improve them based on customer feedback.

Our frontend stack is primarily TypeScript and React, interacting with backends written in Go. Your primary focus will be frontend engineering, with opportunities to work across the stack, contributing to APIs and backend functionality to deliver complete customer experiences. Frontend engineers at Grafana also have opportunities to contribute to open source communities.

The opportunity:

  • Own technical projects from problem framing through rollout, including getting user feedback and measuring whether what you shipped actually worked.
  • Collaborate with Product Management, Product Design and backend engineers to build intuitive user experiences using clean, reusable components, contributing to supporting APIs and backend functionality where needed.
  • Mentor and collaborate with other engineers. Raise the engineering bar through code review, design feedback, pairing on hard problems, and writing that leaves the team better than you found it.
  • Participate in on-call for the software you help build, contributing to incident response and learning from incidents.
  • Provide technical support in customer escalations and help us identify areas of high friction to address.
  • Collaborate with other squads on shared dependencies, contribute to design proposals, and share the team’s work through demos and technical discussions.

We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups, always with strong code review and quality standards. You’ll also have access to the latest frontier models from OpenAI, Anthropic, and Google.

What makes you a great fit:

  • We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind and enjoy working as a team.
  • Strong frontend engineering experience, with experience across the stack. You have experience building and maintaining production web applications with React and TypeScript, and are comfortable contributing to backend services and APIs. You value maintainability, readability, automated testing and secure development practices.
  • Technical ownership. You have solid experience delivering complex projects, mentoring other engineers and helping teammates work more effectively. You communicate clearly in a fully remote, asynchronous environment.
  • You take responsibility for operating the software you have built. You have experience being on-call, supporting software in production, ensuring reliability and responding to incidents as needed.
  • You enjoy working on complex solutions, building production software systems. You’re a self-starter, capable of tackling complex engineering problems with minimal supervision.
  • User focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate.
  • AI experience with a practical mindset. You use AI coding tools thoughtfully to improve productivity and quality, validate their output, and share useful practices with teammates.
  • You care about our community of users and contributors and are keen to be an active Grafana Community Contributor.

Bonus Points for

  • Open-source contribution or maintainership, and comfort engaging a community in the open.
  • An active interest in observability (metrics, logs and traces) and experience with tools like Grafana, Prometheus or other observability platforms.
  • Experience with databases, SQL or database performance monitoring.
  • Experience building backend services in Go.
  • Experience as an on-call user of Grafana, Prometheus, Loki or Tempo in a previous role (or on a homelab).
  • Experience in a fully remote, globally distributed team.

Compensation & Rewards:

In Spain, the base compensation range for this role is €85,000 – €107,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs’ success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.

*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.

Why You’ll Thrive at Grafana Labs:

  • 100% Remote, Global Culture – As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
  • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment.
  • Transparent Communication – Expect open decision-making and regular company-wide updates.
  • Innovation-Driven – Autonomy and support to ship great work and try new things.
  • Open Source Roots – Built on community-driven values that shape how we work.
  • Empowered Teams – High trust, low ego culture that values outcomes over optics.
  • Career Growth Pathways – Defined opportunities to grow and develop your career.
  • Approachable Leadership – Transparent execs who are involved, visible, and human.
  • Passionate People – Join a team of smart, supportive folks who care deeply about what they do.
  • In-Person onboarding – We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
  • Balance is Key – We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable.

Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.

Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.

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Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightЭто senior-роль с ответственностью за сложные пользовательские интерфейсы для анализа телеметрии, участие в backend-разработке и эксплуатации production-систем. Требуются техническое лидерство, самостоятельное ведение проектов и готовность к on-call и инцидентам.

Salary analysis

Estimated compensation compared with the broader EU market for similar roles.

Estimated job median (per year)Market rate
€96,000
EU market range (per year)€80k–€115k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. Работодатель указывает базовый годовой диапазон €85,000–€107,000 для Испании; медиана диапазона составляет €96,000 в год. Оценочный рыночный диапазон для senior full-stack инженера с React, TypeScript, Go и опытом observability в Испании составляет €80,000–€115,000 в год. Годовой период оплаты выведен по масштабу указанной базовой компенсации и рыночной практике для штатной senior engineering-роли; в объявлении период явно не назван.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you design a React interface for investigating slow database queries in a high-volume telemetry product?

I would begin by identifying the key user questions, such as which queries are slow, when regressions began, and what dimensions explain the impact. I would create a progressive interface with summary health signals, filterable query tables, drill-down views, and clear loading and error states. I would also validate the data model and API contracts early, then instrument usage to assess whether the workflow helps users resolve issues.

Describe how you would contribute to a Go backend service while primarily working as a frontend engineer.

I would first understand the existing service boundaries, API conventions, observability, and test strategy. For a frontend need, I would propose a narrowly scoped contract, implement or pair on the endpoint, add unit and integration tests, and ensure metrics and structured logging support production troubleshooting. I would keep the change maintainable and review it with backend owners.

Tell us about your approach to owning a project from problem framing through rollout.

I clarify the customer problem, expected outcome, constraints, and success metrics before proposing a small deliverable. I work with stakeholders on an iterative design, deliver an MVP, gather qualitative and quantitative feedback, and adjust based on the evidence. After launch, I monitor reliability and adoption, document decisions, and identify follow-up work.

What is your approach when you are on call for a service you helped build?

I focus first on restoring customer impact safely, using dashboards, logs, traces, and recent-change context to narrow the issue. I communicate status clearly, mitigate or roll back when appropriate, and capture facts for a blameless follow-up. Afterward, I prioritize durable improvements such as tests, alerts, runbooks, capacity changes, or product safeguards.

How do you use AI coding assistants while maintaining engineering quality?

I use AI tools for tasks such as exploring alternatives, drafting tests, refactoring, documentation, and incident follow-ups, but I treat every output as untrusted. I validate generated code against requirements, security expectations, tests, and project conventions, then rely on peer review for meaningful changes. I also share effective patterns with the team while avoiding sensitive-data exposure and respecting security guidelines.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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