This role pays more than
80%
of similar roles. Most pay
$160,962–$219,012
— the shaded band above.
At the midpoint, this role pays about
$222k
versus about
$190k
for comparable roles.
Based on 240 similar postings.
Employer
About Anduril Industries
Anduril Industries is a defense technology company that builds advanced hardware and software systems for national security, including autonomous drones, surveillance systems, and the Lattice AI command platform.
Anduril Industries currently has
850 open roles
on FindRole.
Listed pay typically runs
$166,000–$220,000
across 821 roles with salary data.
Staff Site Reliability Engineer
As part of the CorpTech Platform team, you will establish the reliability architecture for systems powering business and manufacturing operations. You will not simply respond to tickets; instead, you will design and operate the observability platform, manage deployment infrastructure including canary analysis and automated rollbacks, and define SLO frameworks to make reliability measurable. Your work involves identifying systemic risks, establishing production-readiness standards, and developing reliability patterns for AI-enabled systems to monitor model behavior drift. You will utilize Go, Python, or Rust to build production tools while managing Kubernetes, cloud platforms like AWS, GCP, or Azure, and complex networking and storage layers. This role solves the challenge of scaling infrastructure for internal corporate systems, ensuring that high-growth business operations remain stable through automated mechanisms rather than manual intervention.
What does a Site Reliability Engineer earn in California?
Median $214000 from 56 postings across 13 companies.
Design the reliability architecture for production environments including observability, deployment systems, and incident management.
Build and operate an enterprise-scale observability platform featuring metrics, distributed tracing, and structured logging.
Develop release-safety mechanisms such as canary analysis, automated rollbacks, and progressive rollout systems.
Define and govern SLO frameworks to make reliability measurable for engineering teams and leadership.
Identify systemic risks and drive infrastructure investments to eliminate entire classes of failures.
Establish production-readiness standards and review processes for all software development lifecycles.
Lead incident response for complex multi-system failures and implement durable, systemic improvements.
Develop reliability patterns specifically for AI-enabled systems including monitoring for model behavior drift.
What we're looking for
10+ years of experience in site reliability, production engineering, infrastructure engineering, or a related discipline at an architecture or platform-wide scope.
Demonstrated experience designing and owning reliability infrastructure such as observability platforms, deployment systems, or incident management tooling at scale.
Deep technical fluency in distributed systems, Kubernetes, cloud platforms (AWS, GCP, or Azure), networking, and storage.
Proficiency in systems programming languages including Go, Python, Rust, or equivalent for building production infrastructure and automation.
Demonstrated experience defining SRE standards and influencing adoption across engineering teams without formal authority.
Track record of leading incident response for complex failures and converting findings into systemic infrastructure improvements.
Degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent practical experience.
U.S. Person status is required to access export controlled data; eligibility to obtain a U.S. Secret security clearance (preferred).
Site Reliability Engineering
AWS
CI/CD
Infrastructure as Code
Linux
Unix
Distributed Systems
Monitoring
Logging
Tracing
Azure
GCP
Oracle Cloud Infrastructure