Anduril
Staff Site Reliability Engineer
$209K–$278K
Costa Mesa, California, United States · Staff · Full-time · Posted Sep 24, 2026
- Experience
- 10+ years; site reliability engineering, production engineering, infrastructure engineering, or a closely related discipline.
- Education
- Degree in Computer Science, Information Systems, Engineering, or related technical field, or equivalent practical experience.
- Visa sponsorship
- U.S. Person status is required to access export-controlled data.
About the job
Sets reliability architecture and operational standards for CorpTech Platform’s business and manufacturing systems, enabling teams to deploy and operate production services safely at scale.
What you'll do
- Design and operate observability, deployment safety, incident management, capacity planning, and failure-isolation systems.
- Define SLOs and production-readiness standards; lead complex incident response and drive systemic reliability improvements.
- Provide technical direction across teams, including reliability patterns for AI-enabled systems, cost optimization, and performance engineering.
What they ask for
- 10+ years in site reliability, production, infrastructure engineering, or a closely related discipline, including architecture or platform-wide scope.
- Experience owning reliability infrastructure used by multiple engineering teams, and defining standards or readiness frameworks adopted across teams.
- Technical fluency in distributed systems, Kubernetes, cloud platforms (AWS, GCP, or Azure), networking, and storage; proficiency in Go, Python, Rust, or equivalent.
- Degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent practical experience; U.S. Person status required.
Nice to have
- Experience with observability platforms such as Datadog, Grafana, Prometheus, or OpenTelemetry, or deployment and release-safety infrastructure.
- AI/ML reliability experience, familiarity with frontier AI tooling or AI coding assistants, or experience with enterprise systems.
Pay
$209,000 — $278,000 USD (base salary)
Tools
Kubernetes, AWS, GCP, Azure, Go, Python, Rust, Datadog
AI focus
Develop reliability patterns for AI-enabled systems, including monitoring model behavior drift and non-deterministic output degradation, graceful fallback, and failure monitoring for ML-serving systems.
Model-written summary · the original posting is authoritative