Principal Software Engineer - Solution Engineering

Principal Software Engineer - Solution Engineering - Customer Solution Validation

This role has been designed as Onsite with an expectation that you will primarily work from an HPE office.

What youll do:

Solution Validation Customer Engagement

• Understand customer deployments, business requirements, architectures, and large-scale operational environments to develop comprehensive validation strategies.
• Lead validation efforts for customer solutions and complex networking deployments.
• Collaborate with customers, field engineers, solution architects, sales engineers, and services teams to validate real-world networking solutions and operational readiness.
• Participate in and influence technical design workshops, architecture reviews, and strategic planning discussions to improve reliability, scalability, observability, and serviceability.
• Translate customer requirements into repeatable, solution-focused validation frameworks.
• Present technical findings, risk assessments, quality recommendations, and executive-level updates to customers and internal stakeholders.
• Drive cross-functional initiatives that improve customer outcomes and product quality.

Automation Quality Engineering

• Contribute to and help drive automation strategy across products, programs, and engineering teams.
• Architect, develop, and evolve scalable automation frameworks supporting functional, integration, system, resiliency, scale, performance, and solution validation.
• Establish engineering best practices and standards for continuous validation through CI/CD pipelines.
• Drive innovation in automation infrastructure, tooling, and AI-assisted engineering practices.
• Drive organization-wide adoption of quality engineering methodologies that improve time-to-market and engineering productivity.
• Identify opportunities to simplify validation workflows and reduce operational costs through automation.

System-Level Testing Debugging

• Validate distributed, multi-component software and networking platforms at scale.
• Utilize logs, metrics, traces, telemetry, observability platforms, and diagnostic frameworks to troubleshoot complex failures.
• Drive root-cause investigations spanning multiple teams and technology domains.
• Differentiate product defects from infrastructure, automation, and environmental issues.
• Influence architecture and design decisions to improve product testability, diagnosability, and operational excellence.

Technical Leadership

• Provide technical leadership for significant project and program initiatives.
• Serve as a recognized internal authority for solution validation, automation, and quality engineering.
• Lead and connect engineering teams across functions to align around common quality objectives.
• Drive quality-first engineering practices throughout the development lifecycle.
• Mentor engineers through technical guidance, reviews, coaching, and knowledge sharing.
• Contribute to technical innovation through patents, white papers, standards participation, publications, and architectural proposals.
• Contribute to long-term technical capabilities that create recurring business value and customer impact.

Required Qualifications

Software Engineering Automation

• Expert-level programming expertise in Python, Go, or C++, with deep proficiency in at least one language.
• Extensive experience designing and building automation platforms, frameworks, and quality engineering ecosystems.
• Experience integrating large-scale automated testing into CI/CD environments.
• Proven experience delivering impactful automation initiatives.

Systems Networking

• Strong understanding of Linux/UNIX operating systems, networking, processes, memory management, and system internals.
• Extensive experience validating distributed and multi-component systems.
• Deep hands-on expertise configuring and validating multi-vendor networking environments.
• Experience supporting service provider, enterprise, and cloud networking deployments.
• Strong knowledge of performance testing and traffic-generation platforms such as Ixia and Spirent.

Testing Quality Engineering

• Deep expertise in system-level and end-to-end validation.
• Multi-feature, longevity, resiliency, interoperability, scale, and performance testing.
• Fault injection and recovery validation.
• Root-cause analysis and complex defect investigation.
• Advanced troubleshooting across multiple software and infrastructure layers….