Systems/Software Engineer III

Hewlett Packard Enterprise • San Jose, CA

8d • Onsite

About The Position

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Role Overview We are looking for a System Test Automation Engineer who is a software engineer at heart, with strong systems knowledge, sharp analytical thinking, and a passion for building scalable, automated quality frameworks. This role focuses on validating complex, distributed software systems through automation, observability, and system‑level testing rather than manual or UI‑centric testing. You will analyze system behavior, reason about failure modes, and derive clear conclusions even when working with incomplete, ambiguous, or noisy data. You will work closely with development, architecture, and platform teams to embed quality early in the lifecycle, design robust test frameworks, apply data‑driven quality insights, and prevent defects from reaching customers.

Requirements

• Typically 8-10 years of work experience in Test Engineering
• Bachelor's degree
• Strong programming skills in Python, Go, or C++ (at least one at production depth).
• Proven experience building automation frameworks, not just test scripts.
• Solid understanding of Linux/UNIX fundamentals (processes, memory, networking).
• Familiarity with CI/CD systems and version control (Git‑based workflows).
• Experience testing complex, multi‑component, distributed systems.
• Strong analytical and logical thinking skills, with the ability to break down complex system behaviors and derive clear conclusions from incomplete or ambiguous data.
• Ability to apply data‑driven analysis to identify trends, detect regressions, prioritize quality risks, and influence engineering decisions.
• Deep understanding of system‑level testing concepts, including: Regression and longevity testing, Fault injection and recovery, Scale and performance testing
• Strong debugging skills across software layers.
• Experience using GenAI‑assisted development tools (e.g., VS Code, GitHub Copilot, or similar) to improve productivity in coding, test development, analysis, and debugging workflows.
• Ability to effectively leverage GenAI for: Rapid prototyping of test frameworks and utilities, Log analysis, test failure triage, and root‑cause exploration, Improving code quality, readability, and maintainability
• Strong judgment in using GenAI tools as engineering accelerators, with a clear understanding of their limitations, validation needs, and appropriate use in production‑quality workflows.

Nice To Haves

• Networking fundamentals (Firewall,L2/L3, TCP/IP, routing, congestion behavior).
• Experience with embedded systems, network operating systems, cloud infrastructure, or distributed systems.
• Familiarity with sanitizers, memory leak and corruption detection and diagnostic tools (ASAN, LSAN, TSAN, Valgrind, perf).
• Experience with observability stacks and telemetry systems.
• Prior SDET or platform quality engineering experience in large‑scale environments.

Responsibilities

• Design, develop, and maintain system‑level test automation frameworks for complex software platforms.
• Integrate automated tests into CI/CD pipelines to enable continuous validation.
• Own test infrastructure, frameworks, and tooling — not just individual test cases.
• Build and execute regression, scale, stress, soak, and fault‑injection tests.
• Validate system behavior under real‑world conditions including high load, failures, and degraded states.
• Identify issues related to timing, concurrency, memory leaks, performance, and resource exhaustion.
• Leverage and enhance observability signals (logs, metrics, traces, counters).
• Apply analytical and logical reasoning to break down complex behaviors and isolate root causes.
• Use data‑driven analysis to detect regressions, identify trends, and surface systemic quality risks.
• Diagnose failures by clearly distinguishing test issues vs product defects.
• Work with developers to add testability hooks, diagnostics, and observability into the product.
• Participate in design and architecture reviews with a strong testability and quality mindset.
• Influence design choices to enable deterministic, scalable, and measurable testing.
• Shift defect detection earlier in the development lifecycle through proactive quality engineering.
• Partner closely with development, release, and operations teams.
• Influence engineering decisions using clear data, analysis, and technical communication.
• Take end‑to‑end ownership of system quality for assigned features or platforms.

Benefits

• Health & Wellbeing: We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
• Personal & Professional Development: We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
• Unconditional Inclusion: We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior