Staff Database Site Reliability Engineer at Grafana Labs
Confirmed open
Improve reliability, SLOs and incident response for Grafana Cloud databases including Mimir, Loki, Tempo and Pyroscope. The employer lists Spain (Remote).
- Location
- Remote
- Advertised region
- Spain (Remote)
- Work arrangement
- remote
- Technologies
- AWS, Azure, GCP, Kubernetes, Linux
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Role overview
This staff SRE role supports Grafana Cloud customers with demanding service commitments. The team works with product squads on distributed databases delivered through AWS, GCP and Azure, and is responsible for production reliability, incidents and automation. Each posting states a remote hiring country.
Responsibilities
- Own production reliability for complex, high-SLA customers and define per-tenant service-level objectives.
- Investigate error-budget burn, improve alerts and build automation that removes repeated operational work.
- Serve on call, lead incident response and post-incident reviews, and communicate with affected customers.
- Partner with database engineering squads on scalable designs, code reviews and operability.
- Improve monitoring, self-healing and fault-tolerant patterns while mentoring colleagues in SRE practice.
Qualifications
- At least eight years in engineering, including four or more in SRE, customer reliability or production engineering.
- Strong Kubernetes experience on AWS, GCP or Azure and infrastructure-as-code tools such as Helm, Terraform or Jsonnet.
- Experience operating multi-tenant systems, defining SLOs, leading technical projects and mentoring engineers.
- Programming in Go, Python, Java or a similar language, plus Linux internals, networking and cloud storage.
- Calm, blame-free incident response, post-incident writing and an ability to reason about scaling and failure modes.
Technology in this role
- Python: Python Java AWS Azure GCP Kubernetes Linux .
- Java: Python Java AWS Azure GCP Kubernetes Linux .
- AWS: Python Java AWS Azure GCP Kubernetes Linux .
- Azure: Python Java AWS Azure GCP Kubernetes Linux .
- GCP: Python Java AWS Azure GCP Kubernetes Linux .
- Kubernetes: Python Java AWS Azure GCP Kubernetes Linux .
- Linux: Python Java AWS Azure GCP Kubernetes Linux .
- Go: Python Java AWS Azure GCP Kubernetes Linux .
- Terraform: Strong Kubernetes experience on AWS, GCP or Azure and infrastructure-as-code tools such as Helm, Terraform or .
- CAN: 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, .
- Salesforce: Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana .
- Grafana: This staff SRE role supports Grafana Cloud customers with demanding service .
Role-specific candidate guide
Preparation notes based on the employer’s stated responsibilities and qualifications.
Understanding the scope. This Staff Software Engineer - Databases SRE | Spain | Remote position at Grafana Labs is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “This staff SRE role supports Grafana Cloud customers with demanding service commitments. The team works with product squads on distributed databases delivered through AWS, GCP and Azure, and is responsible for…” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the platform and infrastructure area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting lines, product or team assignment, employment terms and any details that may have changed since this copy was checked. Where this page says a fact is not specified, treat it as an open question rather than an implied promise.
What the responsibilities signal. The posting specifically names “Own production reliability for complex, high-SLA customers and define per-tenant service-level objectives.”; “Investigate error-budget burn, improve alerts and build automation that removes repeated operational work.”; “Serve on call, lead incident response and post-incident reviews, and communicate with affected customers.”. For each duty, identify a project where you performed comparable work and be ready to describe the context, your own contribution, constraints, decisions, and measurable result. Explain how you moved from the initial need to implementation, review, release or operational follow-through, where those stages apply. If the work involved other teams or users, distinguish your decisions from the group’s contribution. Avoid presenting a technology keyword as proof by itself: connect it to the problem you solved, the scale or complexity involved, and what changed after your work. The source may contain additional duties; review it directly before preparing your application.
How to read the requirements. The listed qualifications include “At least eight years in engineering, including four or more in SRE, customer reliability or production engineering.”; “Strong Kubernetes experience on AWS, GCP or Azure and infrastructure-as-code tools such as Helm, Terraform or Jsonnet.”; “Experience operating multi-tenant systems, defining SLOs, leading technical projects and mentoring engineers.”. Mark each requirement as demonstrated, adjacent experience or a genuine gap, then use a concise example for the first two categories. A strong example explains what you personally owned, how you made trade-offs, how you validated the result and what you learned. If the posting specifies years of experience, language ability, certifications, location or eligibility, address those facts plainly in your CV or application rather than relying on the employer to infer them. Do not claim a qualification from exposure alone. For a requirement you do not meet, describe relevant transferable experience accurately and ask.
About Grafana Labs
Grafana Labs develops Grafana Cloud and open-source observability software that helps teams examine metrics, logs and traces. The employer describes itself as a fully remote company.
Employer websiteHow to apply
Review the original posting and apply through the employer’s careers page.
View source and applySource checked: 2026-10-17
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