Principal Software Test Engineer - Solution Engineering – Customer Solution Validation
Role Overview
HPE Networking seeks a Principal Solution Test & Automation Engineer for quality engineering across large-scale networking and distributed software solutions.
This is a highly technical individual-contributor role combining software testing, systems engineering, customer engagement, and technical leadership.
The role partners with engineering, architecture, product management, sales engineering, services, support, and customers.
Key Skills for This Role
Full Job Posting
Work arrangement
- The role is hybrid and requires working from an HPE office an average of two days per week.
- The posting identifies Sunnyvale, California as the hybrid location.
Role overview
HPE Networking seeks a Principal Solution Test & Automation Engineer for quality engineering across large-scale networking and distributed software solutions.
This is a highly technical individual-contributor role combining software testing, systems engineering, customer engagement, and technical leadership.
The role partners with engineering, architecture, product management, sales engineering, services, support, and customers.
Solution validation and customer engagement
- Understand customer deployments, business requirements, architectures, and large-scale operational environments to develop validation strategies.
- Lead validation of customer solutions and complex networking deployments; collaborate with customers and field, architecture, sales, and services teams.
- Participate in design workshops, architecture reviews, and strategic planning to improve reliability, scalability, observability, and serviceability.
- Translate customer requirements into repeatable validation frameworks; present technical findings, risk assessments, recommendations, and executive updates.
Automation and quality engineering
- Drive automation strategy and build scalable frameworks for functional, integration, system, resiliency, scale, performance, and solution validation.
- Establish continuous-validation practices in CI/CD and advance automation infrastructure, tooling, and AI-assisted engineering.
- Promote organization-wide quality engineering, simplify validation workflows, and reduce operational costs through automation.
Testing and technical leadership
- Validate distributed, multi-component software and networking platforms at scale; use telemetry and diagnostics to troubleshoot failures.
- Lead root-cause investigations, distinguish product defects from infrastructure or environmental issues, and influence designs for testability and diagnosability.
- Lead technical initiatives, align teams around quality objectives, and mentor engineers through reviews, coaching, and knowledge sharing.
- Contribute to patents, publications, standards, architectural proposals, and long-term technical capabilities.
Basic qualifications
- Expert-level Python, Go, or C++ programming, with deep proficiency in at least one language.
- Extensive experience building automation platforms and integrating large-scale automated testing into CI/CD.
- Strong knowledge of Linux/UNIX, networking, processes, memory management, and system internals.
- Experience validating distributed systems, configuring multi-vendor networking, and supporting service-provider, enterprise, and cloud deployments.
- Knowledge of performance testing and traffic-generation platforms such as Ixia and Spirent.
- Expertise in system and end-to-end testing, including resiliency, interoperability, scale, performance, fault injection, and recovery.
- Demonstrated technical impact, ability to influence engineering direction, and experience mentoring and contributing across teams.
Preferred qualifications
- 12+ years of industry experience; advanced networking knowledge across Layer 2, Layer 3, TCP/IP, routing, MPLS, EVPN, and data center technologies.
- Experience with network operating systems, cloud infrastructure, observability platforms, or distributed architectures; working knowledge of JUNOS.
- JNCIA, CCIA, or equivalent certification; experience using AI-assisted engineering tools; record of patents, publications, standards contributions, or architectural leadership.
Compensation
- Expected annual base salary in California is USD 172,000–349,000; actual offers may vary based on location, experience, education, training, and skills.
- Variable incentives may also be offered.
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