Staff SRE: Platform Reliability & AI Observability

Anduril Industries, Inc.; Costa Mesa, Northern (CA, KY); Hybrid; USD 191,000 - 253,000; Full time

Job summary

Anduril Industries, Inc. is seeking a Staff SRE to define the reliability architecture for CorpTech Platform. You will shape observability, deployment safety, incident response, and capacity planning for production systems powering corporate and manufacturing operations.

You will partner with engineering teams, set production-readiness standards, and drive investments to scale reliability as the platform grows, including AI-enabled workloads and cost optimization.

Qualifications

• 10+ years of experience in site reliability engineering, production engineering, infrastructure engineering, or a closely related discipline.
• Deep technical fluency across distributed systems, Kubernetes, cloud platforms (AWS/GCP/Azure) and networking.
• Proficiency in Go, Python, Rust or equivalent for building production tooling.
• Experience designing reliability infrastructure used by multiple teams.
• Proven ability to lead incident response for complex failures.

Responsibilities

• Set the reliability architecture for CorpTech Platform's production environment including observability, deployment, incident management and capacity planning.
• Design and operate the observability stack (metrics, tracing, logging, alerting, dashboards) at scale.
• Own deployment infrastructure and release-safety mechanisms (canaries, automated rollbacks, gates).
• Define and govern SLO frameworks for reliability as a shared language across teams.
• Identify systemic reliability risks and drive investments to prevent recurrence across the platform.

Job description

Anduril Industries, Inc. is seeking a Staff SRE to define the reliability architecture for CorpTech Platform. You will shape observability, deployment safety, incident response, and capacity planning for production systems powering corporate and manufacturing operations.

You will partner with engineering teams, set production-readiness standards, and drive investments to scale reliability as the platform grows, including AI-enabled workloads and cost optimization.