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# Staff Software Engineer – Databases SRE | Germany | 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[UK](https://jobicy.com/job-region/uk.md), [Spain](https://jobicy.com/job-region/spain.md), [Germany](https://jobicy.com/job-region/germany.md)+1 more, [Sweden](https://jobicy.com/job-region/sweden.md)SalaryEUR 109,709–131,651 / yrDepartment[DevOps & Infrastructure](https://jobicy.com/categories/admin.md)EmploymentFull TimeExperienceSeniorPublished1 Nov 2026Apply before1 Dec 2026Listing views35Application actions0Application 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 seeking a staff-level Database SRE to build and operate highly available multi-tenant SaaS database systems across AWS, GCP, and Azure. The role combines production software engineering with SRE ownership, including automation, SLO design, observability, capacity work, incident response, and customer escalations. The engineer will contribute to Mimir, Loki, and Tempo codebases, lead cross-team technical design, and mentor other engineers. Candidates need deep distributed-systems expertise, Kubernetes and infrastructure-as-code experience, and a proven record of operating critical production systems. Weekday on-call follows local European working hours, with a weekend rotation approximately every six to eight weeks.

## Role DNA

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

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a staff-level reliability role for critical, multi-cloud distributed databases serving high-SLA customers. It demands both deep hands-on engineering judgment and leadership during complex customer-impacting incidents.

## Salary analysis

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

Estimated job median (per year)Market rate€120,680EU market range (per year)€105k–€145k0€159.50k

AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a German base-compensation range of €109,709–€131,651. The annual cadence is inferred from the senior full-time engineering context because the posting does not explicitly state a pay period. The midpoint is €120,680 per year; the estimated German market range for a staff-level database SRE is €105,000–€145,000 per year.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Site Reliability Engineering](https://jobicy.com/jobs?search_keywords=Site%20Reliability%20Engineering.md)[Distributed Systems](https://jobicy.com/jobs?search_keywords=Distributed%20Systems.md)[Kubernetes](https://jobicy.com/jobs?search_keywords=Kubernetes.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Google Cloud Platform](https://jobicy.com/jobs?search_keywords=Google%20Cloud%20Platform.md)[Microsoft Azure](https://jobicy.com/jobs?search_keywords=Microsoft%20Azure.md)[Terraform](https://jobicy.com/jobs?search_keywords=Terraform.md)[Helm](https://jobicy.com/jobs?search_keywords=Helm.md)[Service Level Objectives](https://jobicy.com/jobs?search_keywords=Service%20Level%20Objectives.md)[Incident Response](https://jobicy.com/jobs?search_keywords=Incident%20Response.md)[Observability](https://jobicy.com/jobs?search_keywords=Observability.md)[Linux Internals](https://jobicy.com/jobs?search_keywords=Linux%20Internals.md)[Network Engineering](https://jobicy.com/jobs?search_keywords=Network%20Engineering.md)[Open Source Development](https://jobicy.com/jobs?search_keywords=Open%20Source%20Development.md)

Sample interview questionsHow would you design an SLO framework for a multi-tenant database platform with customers on different service tiers?I would define user-focused SLIs such as successful query rate, ingestion availability, latency, and data durability, then establish tier-specific objectives and error budgets. I would instrument these per tenant where feasible, aggregate them carefully to avoid noisy signals, and connect burn-rate alerts to documented escalation paths. I would review error-budget consumption with product and engineering teams to prioritize systemic reliability work.

Describe how you would investigate elevated query latency in a distributed, multi-tenant system.

I would first scope the impact by tenant, region, endpoint, and time window, then correlate latency with saturation, errors, deployments, traffic changes, and dependency health. I would inspect traces, logs, database metrics, Kubernetes scheduling, storage performance, and network indicators to isolate the dominant bottleneck. Once mitigated, I would document contributing factors and create a permanent fix, capacity adjustment, or automation improvement.

What practices help make an on-call rotation sustainable for a critical service?

Sustainable on-call requires actionable alerts tied to customer impact, clear ownership, strong runbooks, and regular removal of repetitive operational toil. I would track pages, response outcomes, and recurring failure modes, then reserve engineering capacity for reliability improvements. Blameless post-incident reviews should produce specific, owned follow-up actions rather than only documenting the event.

How would you make a large open-source service more resilient without creating unnecessary operational complexity?

I would begin with failure-mode analysis and production evidence to identify the highest-value reliability gaps. I would propose a small, observable change with clear rollback behavior, tests, metrics, and an incremental rollout plan. I would also seek design review early, validate behavior under load or fault injection where possible, and ensure the operational team can understand and support the resulting system.

How do you lead technical direction across teams when reliability work competes with feature delivery?

I connect reliability investments to measurable customer and business outcomes, such as reduced incident frequency, protected SLOs, lower support burden, or improved delivery confidence. I make trade-offs visible through design documents, incident data, and roadmap discussions, then align teams on a sequenced plan with clear owners. I also coach engineers to include operability, capacity, and failure handling in feature design from the beginning.

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 are looking for candidates from the UK, Sweden, Spain or Germany.

### About the role:

Grafana Cloud runs Mimir, Loki, Tempo and Pyroscope as multi-tenant SaaS databases across AWS, GCP and Azure in regions worldwide. Our highest-SLA customers depend on them to run their businesses. We’re looking for a Staff Software Engineer to keep these systems reliable at scale.

The role combines building and operating. You’ll write the software, automation and product changes that make our databases more reliable, including changes to the Mimir, Loki and Tempo codebases where reliability calls for it. You’ll also be on call for our highest-SLA customers and handle the operational work that comes with it. You’ll bring a production mindset to product engineering and engineering rigor to reliability, and you’ll set technical direction across squads.

### What You’ll Do

* Build reliability into the product. Write production code in our services, tooling and the Mimir, Loki and Tempo codebases that makes our databases more resilient, self-healing and scalable as demand grows quickly.
* Build automation and platform tooling that removes toil and scales our reliability practices across regions and cloud providers.
* Lead technical design. Author design docs, review others’ designs and PRs, and shape feature design so it’s scalable and operable from day one.
* Own the SLO framework. Define and evolve per-tenant SLOs and reliability models. Use SLO burn and incident learnings to find and fix the causes of failure in the systems themselves.
* Improve observability and alerting so we find problems before customers do, and so escalations are actionable rather than noisy.
* Be on call for our highest-SLA customers. Act as a technical escalation point for complex customer environments. Lead customer-impacting incident response, including customer bridge calls when needed, and write blameless post-incident reviews that lead to engineering fixes.
* Handle the operational work that comes from on-call. This includes investigating customer escalations, following up on incident actions, tuning capacity and configuration, and turning recurring issues into permanent fixes or automation.
* Multiply the team. Mentor engineers, teach reliability practices that teams adopt early in development, and work with engineering leadership on roadmaps and product strategy.
* We highly value those who are intellectually curious, who default to transparency, possess a high bias towards action, and who are also kind (this is important!)

### On-Call

Weekday on-call is 12-hour shifts, Monday to Friday, split between North America and Europe so you cover your local working hours. Weekends are covered by a separate 24-hour rotation. You’ll take a weekend roughly once every six to eight weeks.

### What We’re Looking For:

* 8+ years of software engineering experience, including significant time building and owning distributed systems in production.
* Strong production software skills, ideally in at least one object-oriented language. You write clean, tested code and can make targeted changes in large open-source codebases you didn’t write.
* Deep understanding of distributed systems: performance, scaling and failure modes. You can reason about how a system will break before it does.
* Experience running multi-tenant systems at scale on Kubernetes in AWS, GCP or Azure, with infrastructure-as-code tools such as Terraform, Helm or Jsonnet.
* Hands-on experience designing and implementing SLOs.
* Experience being on call for production systems. You troubleshoot calmly and methodically under pressure, and you’ve taken part in blameless incident response and written high-quality post-incident reviews.
* Staff-level technical leadership: driving cross-team projects, setting technical direction and making the engineers around you better.
* Working knowledge of Linux internals, networking and cloud storage.

### Nice to Have:

*
Experience with Mimir, Loki, Tempo, Pyroscope, Prometheus or other observability and time-series databases.
* Open-source contributions.
* Customer reliability engineering (CRE) or customer-facing escalation experience.

In Germany, the Base compensation range for this role is €109,709 – €131,651. 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](https://grafana.com/about/careers/#jobs).#LI-Remote

#LI-Remote

*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/158315-staff-software-engineer-databases-sre-germany-remote.md)

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