about 3 hours ago
Responsibilities
- Partner closely with product engineering squads.
- Own production reliability for high-SLA and complex customer environments.
- Design and implement automation to scale reliability practices.
- Ensure customers meet 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 on-call for incidents.
- Lead customer-impacting incident response and post-incident reviews.
- Contribute to design docs and code reviews.
- Influence feature design for production scalability and operability.
- Build automation to eliminate toil.
- Improve alert quality and reduce noisy escalations.
Requirements
- 8+ years of engineering experience, with 4+ years in SRE/CRE/production engineering.
- Strong Kubernetes experience in AWS, GCP, or Azure.
- Familiarity with infrastructure-as-code tooling like Helm, Terraform, or Jsonnet.
- Experience in technical leadership and mentoring other engineers.
- Experience operating multi-tenant systems in production.
- Strong experience designing and implementing SLOs.
- Proficiency in one or more programming languages (e.g., Go, Python, Java).
- Knowledge of Linux internals, networking, and cloud storage.
- Excellent problem-solving and troubleshooting skills.
- Experience in blame-free incident response and writing high-quality post-incident reviews.
- Ability to reason about performance, scaling, and failure modes.
- Comfortable working in a self-directed engineering team.
- Ability to partner deeply with product engineering teams.
- Intellectual curiosity, transparency, and kindness are highly valued.
Benefits
- 100% remote work with a global culture.
- Opportunities for career growth and development.
- Transparent communication and open decision-making.
- In-person onboarding for new employees.
- Global annual leave policy of 30 days per year, including Grafana Shutdown Days.
Tech Stack
Categories
Data EngineeringDevOps