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# Staff Backend Engineer – Grafana Alerting | Spain | Remote

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/grafana-labs.md)ShareRemote from[Spain](https://jobicy.com/job-region/spain.md)SalaryEUR 94,025–112,830 / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished30 Oct 2026Apply before29 Nov 2026Listing views21Application actions2Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

Grafana Labs is hiring a Staff Backend Engineer to develop and operate Grafana Alerting and SLO capabilities for its cloud and open-source products. The role centers on distributed systems for alert ingestion, delivery, and evaluation at production scale, with strong ownership for reliability, performance, and availability. The engineer will lead projects from discovery through operations, participate in on-call rotations, mentor teammates, and influence product direction. Candidates need strong backend engineering fundamentals, cloud or systems experience, and proficiency in Go or a comparable language. The position is remote for candidates in Spain, with an in-person onboarding component.

## Role DNA

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

### Job Complexity

5/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a staff-level role responsible for critical, high-scale distributed alerting systems where reliability failures can affect essential customer infrastructure. It requires technical leadership, end-to-end delivery, operational ownership, mentoring, and effective collaboration in a distributed team.

## Salary analysis

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

Estimated job median (per year)Market rate€103,427.50EU market range (per year)€90k–€125k0€137.50k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a compensation range of EUR 94,025 to EUR 112,830. The posting does not state a cadence, but yearly compensation is inferred from the senior full-time engineering role, Spanish location, and pay magnitude. The estimated Spanish market range for a staff backend engineer in this period is EUR 90,000 to EUR 125,000 per year; this is an AI estimate rather than verified salary research.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Backend Engineering](https://jobicy.com/jobs?search_keywords=Backend%20Engineering.md)[Distributed Systems](https://jobicy.com/jobs?search_keywords=Distributed%20Systems.md)[Go](https://jobicy.com/jobs?search_keywords=Go.md)[Cloud Computing](https://jobicy.com/jobs?search_keywords=Cloud%20Computing.md)[Systems Engineering](https://jobicy.com/jobs?search_keywords=Systems%20Engineering.md)[Prometheus](https://jobicy.com/jobs?search_keywords=Prometheus.md)[Alerting Systems](https://jobicy.com/jobs?search_keywords=Alerting%20Systems.md)[Site Reliability Engineering](https://jobicy.com/jobs?search_keywords=Site%20Reliability%20Engineering.md)[System Design](https://jobicy.com/jobs?search_keywords=System%20Design.md)[Performance Optimization](https://jobicy.com/jobs?search_keywords=Performance%20Optimization.md)[On-Call Operations](https://jobicy.com/jobs?search_keywords=On-Call%20Operations.md)[Open Source](https://jobicy.com/jobs?search_keywords=Open%20Source.md)[Technical Mentoring](https://jobicy.com/jobs?search_keywords=Technical%20Mentoring.md)[Remote Collaboration](https://jobicy.com/jobs?search_keywords=Remote%20Collaboration.md)

Sample interview questionsHow would you design a distributed alert-evaluation system that can reliably process more than 500 evaluations per second?I would begin by defining evaluation latency, correctness, availability, and consistency requirements. I would partition work by alert rule or tenant, use durable queues and idempotent workers, and build backpressure, retries, and dead-letter handling into the design. I would instrument the full path with metrics, tracing, and service-level objectives, then validate the design through load and failure testing.

Describe a time you took a backend service from an initial idea through production operations.

I would explain how I gathered requirements, identified the smallest valuable release, created a design with operational concerns included, and partnered with stakeholders through implementation and rollout. I would highlight observability, staged deployment, customer feedback, and the concrete improvements made after production usage.

What practices do you use to make critical backend services reliable and maintainable?

I use clear service boundaries, automated tests, code reviews, documented runbooks, structured logging, metrics, tracing, and meaningful alerts. I also establish SLOs and error budgets, design for graceful degradation, and regularly review incidents to turn lessons into engineering improvements.

How would your experience in Python, Java, C++, or Rust transfer to a Go-based codebase?

The core skills transfer directly: concurrency design, API design, testing, profiling, debugging, and distributed-systems principles. I would learn the team's Go conventions, tooling, and existing architecture quickly, contribute with small well-reviewed changes early, and deepen my Go expertise through production ownership.

How do you maintain alignment and make decisions while working in a fully remote engineering team?

I communicate decisions and context in writing, use design documents for significant changes, and raise risks early. I make meetings purposeful, seek feedback asynchronously where possible, and ensure ownership, timelines, and operational responsibilities are explicit. This approach supports both independent execution and strong team collaboration.

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](http://grafana.com) and follow us on [LinkedIn](https://www.linkedin.com/company/grafana-labs/) and [X](https://twitter.com/grafana).

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 Spain.

The Opportunity:

The Grafana Alerting squad operates at the core of the Grafana open-source project [(link)](https://github.com/grafana/grafana), and our mission is to provide the most in-depth way to let users manage their alerts. The backend-focused team works closely with customers and the Grafana Cloud teams to make Alerting work on-prem and at infinite scale in Cloud. The team’s scope spans both Grafana Alerting and the SLOs product, so engineers get to work across two products that are deeply connected in how they help users detect and respond to problems.

Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool.

Our domain is quite large, so to get an idea of the kind of work we do, here are some projects we recently worked on:

* Build distributed systems to scale alert ingestion and delivery of Prometheus-based alerts
* Unify Alerting setup and delivery to work the same for Grafana and Prometheus-based alerts
* Build distributed systems to scale alert evaluation of Grafana-managed alerts, reaching over 500 evaluations per second in production.

Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool.

What You’ll Be Doing:

* Take an active role in influencing our roadmap and your own career objectives
* Work with your team to deliver new features, then use the results to iterate and improve.
* Drive projects from initial ideation all the way to operations once it is in the hands of customers
* Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope
* Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability
* Be a part of your team’s on-call rotations and take ownership of the services you’re running
* Mentor and support other team members, participate in design discussions and collaborate with the team
* Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system

As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must.

What Makes You a Great Fit:

* You are a motivated self starter with a bias towards action
* You are customer focused
* We build everything with our users in mind.
* You have a passion for creating intuitive products that fit customers’ needs
* Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively
* Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must
* Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, Java, C++, Rust or similar then that translates well
* Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way
* Some experience with developing software that runs in the Cloud or some experience with systems engineering
* Experience writing clean, robust, and performant software that is easily maintained by others

Compensation & Rewards:

In Spain, the 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](https://grafana.com/legal/applicant-and-candidate-privacy-policy/).

Show more

[Apply now >](https://jobicy.com/jobs/157935-staff-backend-engineer-grafana-alerting-spain-remote.md)

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