Staff SRE: Platform Reliability Architect

Anduril Industries

Costa Mesa (CA)

On-site

USD 191,000 - 253,000

Full time

14 days+

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Benefits offered by this job

Equity grants

Comprehensive benefits

Job summary

Anduril Industries is seeking a Staff Site Reliability Engineer to shape the reliability architecture for CorpTech Platform, covering production observability, deployment safety, and incident management across the portfolio.

You will lead the definition of SLOs, drive automation investments, and partner with software engineering teams to embed reliability considerations from design through release. This role demands deep systems expertise and strong communication across organizations.

Qualifications

10+ years in SRE or related discipline with architecture/platform scope.
Experience owning reliability infrastructure at scale across multiple teams.
Fluency in distributed systems, Kubernetes, and cloud platforms (AWS/GCP/Azure).
Proficiency in Go or Python for production tooling and automation.
Ability to define SRE standards and drive adoption without formal authority.
Proven incident-response leadership and post-incident improvements.
Ability to navigate ambiguity and set reliability strategy.
Strong written and verbal communication with senior engineers and leadership.
BS CS or related field, or equivalent practical experience.
U.S. Person status is required to access export controlled data.

Responsibilities

Set the reliability architecture for production environments, including observability, deployment, incident management, and capacity planning.
Design and operate the observability platform with metrics, tracing, logging, alerting, and dashboards.
Own deployment infrastructure and release-safety with canaries, rollbacks, and gates.
Define and govern SLO frameworks to guide decisions across teams and leadership.
Identify systemic risks and drive investments to prevent recurrence.
Establish production-readiness standards and embed reliability in design and pre-launch.
Lead incident response for complex failures and drive durable improvements.
Develop reliability patterns for AI-enabled systems and graceful degradation.
Provide technical direction to SRE and infrastructure engineers; enable cross-team decisions.
Drive capacity planning, cost optimization, and performance for shared infra.