Senior Solution Test & Automation Engineer

HP Enterprise; Sunnyvale (CA); Hybrid; USD 170,000 - 230,000; Full time

Benefits offered by this job

Annual equity awards

Hybrid work model

Subsidized health insurance

Retirement programs

Paid time off with parental leave

Job summary

HP Enterprise's HPE Networking team seeks a Principal Solution Test & Automation Engineer to drive quality across large-scale networking and distributed software solutions. This role combines deep testing expertise with system-level engineering and mentorship for teams and customers.

You will lead validation efforts for complex networking deployments, develop scalable automation frameworks, and influence engineering decisions across functions.

Qualifications

• Extensive experience designing and building automation platforms and testing ecosystems.
• Proven ability to implement and scale automated validation in CI/CD pipelines.
• Hands-on expertise with Linux/UNIX, networking, and distributed systems.
• Strong knowledge of performance testing and traffic-generation platforms (e.g., Ixia/Spirent).
• Experience mentoring engineers and driving cross-functional initiatives.

Responsibilities

• Lead validation for customer solutions and complex networking deployments.
• Develop scalable automation frameworks for functional, integration, and system testing.
• Partner with engineering, architecture, product management, and customers to validate complex solutions.
• Present findings, risk assessments, and recommendations to stakeholders and executives.

Skills

Automation frameworks

CI/CD

Python/Go/C++

System-level validation

Mentoring engineers

Tools

Jenkins

Git

Ixia/Spirent

Job description

HP Enterprise's HPE Networking team seeks a Principal Solution Test & Automation Engineer to drive quality across large-scale networking and distributed software solutions. This role combines deep testing expertise with system-level engineering and mentorship for teams and customers.

You will lead validation efforts for complex networking deployments, develop scalable automation frameworks, and influence engineering decisions across functions.