Staff Software Engineer - Databases SRE

• Partner closely with product engineering squads in an embedded model
• Own production reliability for high-SLA and complex customer environments
• Design and implement automation to scale our reliability practices
• Ensure our customers meet our SLO targets
• Define and evolve per-tenant SLOs and reliability models
• Proactively reduce SLO burn to prevent repeat incidents
• Serve as a primary escalation point and participate in on-call for relevant incidents
• Lead customer-impacting incident response and post-incident reviews
• Contribute to design docs and code reviews
• Influence feature design to ensure production scalability and operability
• Build automation to eliminate toil where needed
• Improve alert quality and reduce noisy escalations
• Hold regular 1:1s with your manager and colleagues
• Review and create SLOs and investigate ways to reduce budget burn, including improvements to monitoring, automation, self-healing, and auto-scaling
• Improve observability of customers within their environments
• Design and implement solutions that ensure reliability and scalability as demands increase
• Develop fault-tolerant design patterns across the service lifecycle
• Collaborate with engineering leaders to define and influence product strategy, roadmaps, and technical designs
• Participate in PR reviews and collaborate on design docs
• Teach others about Site Reliability Engineering and share best practices early in feature development
• Participate in incident response through investigation, resolution, PIRs, and customer communication when needed

Technologies:

• AWS
• Azure
• Cloud
• Embedded
• GCP
• Grafana
• Helm
• Support
• Java
• Kubernetes
• Linux
• Python
• Terraform
• AI
• HTTP
• Salesforce

• 8+ years of engineering experience, including 4+ years in SRE, CRE, or production engineering
• Strong Kubernetes experience in AWS, GCP, or Azure, with familiarity in infrastructure-as-code tools such as Helm, Terraform, and Jsonnet
• Strong technical leadership experience, including leading 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, plus knowledge of networking, cloud storage, and scaling
• Excellent problem-solving and troubleshooting skills
• Experience participating in blame-free incident response, following up on action items, and writing high-quality post-incident reviews
• Ability to reason about performance, scaling, and failure modes
• Comfort working in an engineering team that values autonomy and self-direction
• Ability to partner deeply with product engineering teams
• Intellectual curiosity, transparency, a bias toward action, and kindness

We are Grafana Labs, the company behind the open observability cloud. We build Grafana Cloud, our fully managed observability platform, to help organizations see, understand, and act on their data at scale. We are a 100% remote company with more than 1,600 team members across 40+ countries, and we support 35 million+ users and 7,000+ customers worldwide. This remote role is open to candidates based in the UK, Sweden, Spain, or Germany. We offer a global, collaborative culture rooted in open source, transparency, autonomy, and trust, along with benefits including equity, bonus eligibility where applicable, 30 days of annual leave with shutdown days, and in-person onboarding. In the UK, the base compensation range for this role is £103,958 to £124,750, with compensation varying by location and experience.