Responsibilities
- Own production reliability for high-SLA and complex customer environments.
- Define and evolve per-tenant SLOs and reliability models while reducing SLO burn and noisy escalations.
- Design and implement automation, self-healing, auto-scaling, and other solutions that improve reliability and eliminate toil.
- Lead customer-impacting incident response, on-call escalation, post-incident reviews, and customer communication when needed.
- Design fault-tolerant, scalable solutions and improve observability across customer environments.
- Influence product features, technical designs, roadmaps, and strategy to improve production scalability and operability.
- Review pull requests and design documents and teach Site Reliability Engineering practices to other engineers.
Requirements
- 8+ years of engineering experience, including 4+ years in SRE, CRE, or production engineering.
- Strong Kubernetes experience in AWS, GCP, or Azure, plus familiarity with Helm, Terraform, or Jsonnet.
- Experience operating multi-tenant production systems and designing and implementing SLOs.
- Experience with one or more programming languages such as Go, Python, or Java.
- Experience with Linux internals, networking, cloud storage, performance, scaling, and failure modes.
- Strong technical leadership experience, including leading projects, mentoring engineers, and serving as a force multiplier.
- Experience participating in incident response, conducting investigations, and writing high-quality post-incident reviews.
- Ability to partner deeply with product engineering teams and work autonomously.
- Formal customer reliability engineering experience is strongly preferred.
Benefits
- 100% remote role for candidates in the UK, Sweden, Spain, or Germany
- In-person onboarding
- 30 days of annual leave per year, including 3 Grafana Shutdown Days
- Career growth pathways and a transparent, collaborative global culture
Categories
About Grafana
Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions, while getting the visibility they need to run AI systems reliably and at scale. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,400+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital.