Staff Software Engineer - Databases SRE | Ireland | Remote

Details

Grafana Labs is seeking a Staff Software Engineer - SRE to support high-value Grafana Cloud customers by increasing the reliability of cloud databases based on Mimir, Loki, Tempo, and Pyroscope. These databases are provided as a SaaS product across AWS, GCP, and Azure regions.

The SRE team is embedded within the Mimir, Loki, and Tempo squads and focuses on ensuring that Grafana Cloud's database products deliver exceptional reliability for high-SLA customers. This is a remote opportunity for candidates based in the UK, Sweden, Spain, Germany, or Ireland.

Responsibilities

• Partner closely with product engineering squads through an embedded model.
• Own production reliability for high-SLA and complex customer environments.
• Design and implement automation to scale reliability practices and eliminate toil.
• Ensure customers meet SLO targets and define and evolve per-tenant SLOs and reliability models.
• Proactively reduce SLO burn and prevent repeat incidents.
• Serve as a primary escalation point and participate in on-call rotations.
• Lead customer-impacting incident response and post-incident reviews.
• Contribute to design documents, code reviews, and technical designs.
• Influence feature design to ensure production scalability and operability.
• Improve alert quality and reduce noisy escalations.
• Investigate ways to reduce SLO budget burn through monitoring, automation, self-healing, and auto-scaling improvements.
• Improve customer observability within their environments.
• Design and implement fault-tolerant solutions for rapidly increasing demands.
• Collaborate with engineering leaders to define product strategy, roadmaps, and technical designs.
• Teach Site Reliability Engineering practices and communicate reliability best practices early in the development lifecycle.
• Participate in incident response from investigation through resolution, post-incident review, and customer communication through bridge calls when necessary.

Requirements

• 8+ years of engineering experience, including 4+ years in SRE, CRE, or production engineering. Formal customer reliability engineering experience is strongly preferred.
• Strong Kubernetes experience in AWS, GCP, or Azure.
• Familiarity with infrastructure-as-code tools such as Helm, Terraform, and Jsonnet.
• Strong technical leadership experience, including leading teams through projects, mentoring engineers, and acting as a force multiplier.
• Experience operating multi-tenant systems in production.
• Strong experience designing and implementing SLOs.
• Experience with one or more programming languages, such as Go, Python, or Java.
• Experience with Linux operating system internals and knowledge of networking, cloud storage, and scaling.
• Excellent problem-solving and troubleshooting skills.
• Experience participating calmly and actively in blame-free incident response, following up on actions, and writing high-quality PIRs or post-mortems.
• Ability to reason about performance, scaling, and failure modes.
• Ability to work autonomously and partner deeply with product engineering teams.
• Intellectual curiosity, transparency, bias toward action, and a collaborative and kind approach.

Developer Productivity

Grafana Labs supports the use of modern AI coding assistants within security guidelines and provides a company-funded usage budget. AI-assisted development may be used for prototyping, test generation, refactoring, documentation, and incident follow-ups, alongside strong code review and quality standards. Engineers also have access to frontier models including GPT-Codex 5/3, Claude Opus 4.6, and Gemini 3 Pro.

Benefits

• Equity and bonus, if applicable.
• 100% remote global culture.
• Career growth pathways.
• In-person onboarding.
• Global annual leave policy of 30 days per annum, including three Grafana Shutdown Days, subject to local legislation.
• Open, transparent, innovation-driven, and empowered working culture.

Compensation

In Ireland, the base compensation range is €117,600–€141,120. Actual compensation may vary based on level, experience, and skillset assessed during the interview process.