Staff Site Reliability Engineer

Costa Mesa · Costa Mesa, CA (OC-00) · USD 191,000-253,000 · 10+ years experience · Posted Sep 24, 2026

At a glance

The Staff Site Reliability Engineer sets the reliability architecture for systems powering Anduril’s business and manufacturing operations.
This role involves defining production standards, observability, and deployment infrastructure to ensure reliability scales as the platform grows.
The position carries broad organizational reach, influencing software engineering teams across the CorpTech Platform.

Set the reliability architecture for CorpTech Platform’s production environment, including observability, deployment, incident management, and capacity planning.
Design and operate the observability platform, including metrics, distributed tracing, structured logging, alerting, and dashboarding.
Own deployment infrastructure and release-safety mechanisms like progressive rollouts, canary analysis, and automated rollbacks.
Define and govern SLO frameworks to create a shared language for reliability trade-offs.
Identify systemic reliability risks and drive infrastructure or automation investments to eliminate failure classes.
Establish production-readiness standards and review processes for engineering teams.
Lead incident response for complex, multi-system failures and drive post-incident processes for durable improvements.
Develop reliability patterns for AI-enabled systems, including monitoring for model behavior drift and graceful fallback.
Provide technical direction to SRE and infrastructure engineers and represent reliability concerns in platform-level planning.
Drive capacity planning, cost optimization, and performance engineering for critical paths.

10+ years of experience in site reliability engineering, production engineering, infrastructure engineering, or a related discipline.
Experience operating at architecture or platform-wide scope.
Demonstrated experience designing and owning reliability infrastructure used by multiple engineering teams.
Deep technical fluency across distributed systems, Kubernetes, cloud platforms (AWS, GCP, or Azure), networking, and storage.
Proficiency in systems programming languages such as Go, Python, or Rust.
Experience defining SRE standards, production-readiness frameworks, or operational maturity models.
Track record of leading incident response for complex, multi-system failures.
Proven ability to work independently through ambiguity and define reliability strategy.
Excellent written and verbal communication skills.
U.S. Person status is required to access export controlled data.

Experience designing or operating observability platforms like Datadog, Grafana, Prometheus, or OpenTelemetry.
Experience building deployment and release-safety infrastructure.
Experience with reliability engineering for AI-enabled or ML-serving systems.
Familiarity with frontier AI tooling and AI-enabled software development workflows.
Experience in hyper growth startup-like environments.
Familiarity with enterprise systems such as ERP, MES, WMS, CRM, or finance systems.
Eligible to obtain and maintain a U.S. Secret security clearance.