Staff Site Reliability EngineerNew

Anduril Industries
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The opportunity

CorpTech Platform is the internal engineering force multiplier behind Anduril's corporate systems. It drives CorpTech engineering forward through strategic investment in data platforms, software platforms, QA and release excellence, ERP engineering, and AI infrastructure.

What you'll do

  • Set the reliability architecture for CorpTech Platform's production: environment, including observability infrastructure, deployment systems, incident management, capacity planning, and failure-domain isolation.

  • Design and operate the observability platform, including metrics, distributed: tracing, structured logging, alerting, and dashboarding infrastructure that gives engineering teams real production visibility at scale.

  • Own deployment infrastructure and release-safety mechanisms, including: progressive rollout systems, canary analysis, automated rollback, and deployment gates that let the organization ship fast without gambling on production stability.

  • Define and govern SLO frameworks that make reliability measurable and: actionable, creating shared language between SRE, product engineering, and leadership for making trade-off decisions.

  • Identify systemic reliability risks across the platform and drive: infrastructure or automation investments that eliminate entire failure classes rather than patching individual symptoms.

  • Establish production-readiness standards and review processes that: engineering teams adopt during design and pre-launch, embedding reliability into the development lifecycle rather than bolting it on after release.

What they're looking for

  • Experience designing or operating observability platforms (Datadog, Grafana,: Prometheus, OpenTelemetry) at organizational scale, including decisions about instrumentation standards, data pipelines, retention, and cost management.
  • Experience building deployment and release-safety infrastructure, including: canary systems, progressive delivery, feature flagging, and automated rollback mechanisms.
  • Experience with reliability engineering for AI-enabled or ML-serving systems,: including monitoring non-deterministic behavior, building evaluation-driven alerts, and designing graceful degradation for model failures.
  • Familiarity with frontier AI tooling, AI coding assistants, and AI-enabled software development workflows.
  • Experience in hyper growth startup-like environments, with demonstrated: success scaling reliability practices alongside rapid engineering growth.
  • Familiarity with enterprise systems and business process domains such as ERP,: MES, WMS, CRM, finance systems, or manufacturing systems.
  • Eligible to obtain and maintain a U.S. Secret security clearance.