Senior System Test Automation Engineer

Hewlett Packard Enterprise; San Jose (CA); On-site; USD 121,000 - 243,000; Full time

Job summary

Hewlett Packard Enterprise seeks a System Test Automation Engineer in California who will design and maintain system-level test automation frameworks, integrate tests into CI/CD, and own testing infrastructure. You will validate complex distributed systems, analyze failures, and work with developement to embed quality early in the lifecycle.

The role emphasizes observability, data-driven analysis, and GenAI-assisted engineering practices, with on-site in-office work.

Qualifications

• Typically 8–10 years of work experience in Test Engineering.
• Bachelor's degree required.
• Strong programming skills in Python, Go or C++ at production depth.
• Experience building automation frameworks, not just test scripts.

Responsibilities

• Design, develop, and maintain system-level test automation frameworks for complex software platforms.
• Integrate automated tests into CI/CD pipelines for continuous validation.
• Own test infrastructure, frameworks, and tooling.
• Build and execute regression, scale, stress, soak, and fault-injection tests.
• Validate system behavior under high load, failures, and degraded states.
• Diagnose failures and distinguish test issues from product defects.
• Collaborate with development to add testability hooks and observability.

Skills

Python

Go

C++

Automation frameworks

Linux/UNIX

CI/CD

Git

Distributed systems

GenAI

Observability

Networking fundamentals

Embedded systems

Valgrind

ASAN/LSAN/TSAN

Telemetry

Education

Bachelor's degree

Tools

Valgrind

ASAN/LSAN/TSAN

Job description

Hewlett Packard Enterprise seeks a System Test Automation Engineer in California who will design and maintain system-level test automation frameworks, integrate tests into CI/CD, and own testing infrastructure. You will validate complex distributed systems, analyze failures, and work with developement to embed quality early in the lifecycle.

The role emphasizes observability, data-driven analysis, and GenAI-assisted engineering practices, with on-site in-office work.