Site Reliability Engineer

Highlights

• Define gold standards for day-2 operations of mission-critical ML inference platform.
• Build AI-assisted tooling for incident triage and automated response.
• Turn recurring failures into self-healing automations to raise reliability at scale.

What they offer

• Meaningful equity (U.S. only)
• 100% coverage of medical, dental, and vision insurance for employee and dependents
• Flexible PTO including company-wide Winter Break
• Paid parental leave
• Fertility and family-building stipend through Carrot (U.S. only)
• Company-facilitated 401(k)

Ideal candidate

A reliability-minded engineer who thrives at the intersection of code and operations, turning ambiguity and tribal knowledge into simple, automated systems. Curious about ML serving and motivated by raising the operational bar for an entire company.

Requirements

• Extensive hands-on experience with Kubernetes, with multi-cloud experience across EKS, GKE or similar a strong plus
• Experience building and maintaining scalable infrastructure
• Strong foundation in observability tooling including metrics, logging, dashboards and alerting pipelines
• Experience with infrastructure-as-code (Terraform, Helm) and GitOps workflows (Flux CD, ArgoCD)
• Experience writing and improving runbooks, leading incident response and post-mortem analysis
• Comfort working at the intersection of engineering and operations with focus on process and operational leverage
• Familiarity with incident management platforms such as incident.io is a plus
• Curiosity about how ML models are deployed and served at scale; no prior ML experience required