Overview In this role you will anchor automated end-to-end testing across product lines and production-like environments, ensuring quality across complex, multi-system workflows. You'll work with cross-functional teams to shift quality upstream in design and acceptance. You'll leverage AI to accelerate test authoring and triage, and you'll drive fast, reliable release readiness with clear signals from observability and incident analysis. This is a strategic role inside CorpTech Platform aiming to scale Anduril's manufacturing and software systems.
Compensation / Benefits- equity grants
- comprehensive benefits package
- health and recovery support
- competitive compensation (base)
- top-tier benefits
- security clearable position availability
Responsibilities- Design, build, and own automated system integration tests across multiple systems end-to-end
- Simulate production workload and data to reflect factory operations and detect drift
- Leverage AI to write, maintain, and triage tests, enabling non-experts to verify quality
- Trace failures across service, network, and vendor boundaries to root causes
- Set test strategy, release readiness criteria, and quality gates for release trains
- Build observability and instrumentation to turn failures into actionable signals
- Collaborate with engineering and floor business partners to move quality upstream
- Contribute code, infrastructure, and tooling to improve feedback loops and stability
- Support launch readiness, post-incident analysis, and bug prevention
- Set technical standards for testing craft across Mission Control without bottlenecks
Key requirements- 8+ years in software engineering, SWE in test, SRE, QE, or related role in a fast-paced environment
- Experience building and operating automated integration or end-to-end test suites for production systems
- Strong fluency in modern software architectures, APIs, distributed systems, CI/CD, and cloud infrastructure
- Experience reasoning about cross-boundary failures with strong debugging and incident response instincts
- Experience with frontier AI tooling, AI coding assistants, or agentic systems
- Ability to balance hands-on implementation with systems-level quality strategy
- Excellent written and verbal communication with cross-functional influence
- Degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience
- U.S. Person status for access to export controlled data
- Excellent written and verbal communication
- Influence across senior engineers and business partners
- Problem solving and proactive risk reduction
- Automated end-to-end testing
- CI/CD and cloud infrastructure
- Distributed systems and APIs
