Staff Software Engineer - Databases SRE | UK | Remote

As Staff Software Engineer - SRE, you will own the reliability of Grafana Cloud databases (Mimir, Loki, Tempo, Pyroscope) delivered as a SaaS across AWS, GCP, and Azure. You’ll partner with embedded product engineering squads to meet high-SLA requirements and drive automation to scale reliability. You’ll define and evolve tenant-specific SLOs, lead incident response, and influence design for production scalability. This role offers a chance to shape resilient, scalable observability platforms for a global customer base.

• equity
• bonus (if applicable)
• remote work
• 30 days annual leave
• Grafana Shutdown Days for disconnect

• Own production reliability for high-SLA and complex customer environments
• Design and implement automation to scale reliability practices
• Ensure customers meet SLO targets and evolve per-tenant SLOs
• Proactively reduce SLO burn to prevent repeat incidents
• Serve as primary escalation point and on-call for incidents
• Lead customer-impacting incident response and post-incident reviews
• Contribute to design docs and code reviews; influence feature design for scalability
• Build automation to eliminate toil and improve observability and alerting
• Collaborate with engineering leaders to define roadmaps and technical designs
• Mentor engineers, advocate for SRE best practices in development

• 8+ years of engineering experience, 4+ in SRE/production engineering
• Formal customer reliability engineering experience preferred
• Strong Kubernetes experience in AWS, GCP, or Azure
• Familiarity with infrastructure-as-code tools (Helm, Terraform, Jsonnet)
• Experience leading teams and mentoring engineers
• Experience operating multi-tenant systems in production
• Strong experience designing and implementing SLOs
• Proficiency in programming languages (Go, Python, Java, etc)
• Knowledge of Linux internals, networking, cloud storage, and scaling
• Excellent problem-solving and troubleshooting abilities
• Experience with blame-free incident response, PIRs, and post-mortems
• Ability to reason about performance, scaling, and failure modes
• Autonomy and self-direction within a collaborative engineering team
• Comfortable partnering with product engineering teams
• Curiosity, transparency, action bias, and kindness

• problem-solving mindset
• strong collaboration and teamwork
• transparency and openness
• Kubernetes (AWS/GCP/Azure)
• Cloud platforms (AWS, GCP, Azure)
• Infrastructure as code (Helm, Terraform, Jsonnet)