> Markdown version of [/jobs/ext/2734032-staff-site-reliability-engineer](https://www.wearedevelopers.com/jobs/ext/2734032-staff-site-reliability-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Site Reliability Engineer - **Company:** Anduril Industries - **Location:** Costa Mesa, CA, United States - **Experience:** Expert - **Salary:** $191,000.0 - $253,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Information Systems, Distributed Systems, Fault Tolerance, Python (Programming Language), Reliability Engineering, Prometheus, Software Engineering, System Programming, Datadog, Data Logging, Enterprise Software Applications, Warehouse Management Systems, Grafana, Kubernetes, Information Technology, Data Pipelines, Dynatrace - **Published:** September 5, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9146597/staff-site-reliability-engineer ## About the Role * 10+ years of experience in site reliability engineering, production engineering, infrastructure engineering, or a closely related discipline, including experience operating at architecture or platform-wide scope. * Demonstrated experience designing and owning reliability infrastructure that multiple engineering teams depend on, including observability platforms, deployment systems, or incident management tooling at meaningful scale. * Deep technical fluency across distributed systems, container orchestration (Kubernetes), cloud platforms (AWS, GCP, or Azure), networking, storage, and the failure modes specific to each layer. * Proficiency in systems programming languages (Go, Python, Rust, or equivalent) used for building production infrastructure, tooling, and automation. * Demonstrated experience defining SRE standards, production-readiness frameworks, or operational maturity models and influencing adoption across engineering teams without formal authority. * Track record of leading incident response for complex, multi-system failures and converting post-incident findings into infrastructure investments that prevent recurrence. * Proven ability to work independently through ambiguity, define reliability strategy without top-down direction, and sequence investments against competing organizational demands. * Excellent written and verbal communication skills, with the ability to influence senior engineers, engineering leadership, and cross-functional partners on infrastructure and reliability decisions. * Degree in Computer Science, Information Systems, Engineering, or related technical field, or equivalent practical experience. * U.S. Person status is required as this position needs to access export controlled data., * 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. ## Description * 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. * Lead incident response for complex, multi-system failures and drive post-incident processes that produce durable systemic improvements rather than shallow fixes. * Develop reliability patterns for AI-enabled systems, including monitoring for model behavior drift, non-deterministic output degradation, and graceful fallback under novel failure modes. * Provide technical direction to SRE and infrastructure engineers, facilitate cross-team architecture decisions, and represent reliability concerns in platform-level planning and prioritization. * Drive capacity planning, cost optimization, and performance engineering for the platform's critical paths and shared infrastructure., To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: * No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. ## Related Videos - [Designing UX for SRE Agents in High-Stakes Incidents](https://www.wearedevelopers.com/videos/100003-designing-ux-for-sre-agents-in-high-stakes-incidents) - [The Power of Purpose: Unlocking Potential and Innovation](https://www.wearedevelopers.com/videos/1110-the-power-of-purpose-unlocking-potential-and-innovation) - [Debugging in the Dark](https://www.wearedevelopers.com/videos/1658-debugging-in-the-dark) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure](https://www.wearedevelopers.com/videos/1583-software-engineering-social-connection-yubo-s-lean-approach-to-scaling-an-80m-user-infrastructure) - [SRE Methods In an Agency Environment](https://www.wearedevelopers.com/videos/348-sre-methods-in-an-agency-environment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Trustworthy AI Starts at Deployment: 5 Checks Before You Ship](https://www.wearedevelopers.com/magazine/753-trustworthy-ai-starts-at-deployment-5-checks-before-you-ship) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)