Site Reliability Engineer

Role overview Build the operational foundations that keep a machine learning infrastructure platform reliable as it grows. You’ll work across engineering, product, and customer-facing teams to improve day-to-day operations, turning recurring incidents and team knowledge into clearer processes, better observability, and automated recovery.

Responsibilities - Own reliability for multi-cloud Kubernetes infrastructure, including incident response, post-incident reviews, and tracking fixes through completion. - Build and maintain metrics, logs, dashboards, and alerting as code. - Define and instrument service-level objectives and indicators for customer workloads and internal services. - Write and improve runbooks so recurring issues can be handled safely and with minimal context. - Identify repeated failures and develop automated mitigations or self-healing systems. - Investigate runtime problems involving latency, memory, GPU use, concurrency, and model lifecycle.

Requirements - Extensive hands-on Kubernetes experience; experience across multiple cloud providers is useful. - Experience building and operating scalable infrastructure. - A strong foundation in observability, including metrics, logging, dashboards, and alert pipelines. - Experience with infrastructure as code and GitOps workflows. - Experience writing runbooks, leading incident response, and conducting post-incident analysis. - Comfort combining software engineering with operational planning, escalation, and process improvement.

Nice to have - Observability-as-code experience or familiarity with incident management platforms. - Curiosity about how machine learning models are deployed and served; prior ML experience is not required.

Benefits and work setup Compensation includes equity. Benefits include flexible paid time off, a year-end company break, paid parental leave, and a family-building stipend. In the U.S., medical, dental, and vision coverage for employees and dependents is fully covered, and a 401(k) is available. The role also offers exposure to a range of machine learning startups.