Senior Engineer - Solution Engineering – Customer Solution Validation

We are seeking a Senior Engineer - Solution Engineering – Customer Solution Validation to join our team in Bengaluru, Karnātaka, India. This role is designed as 'Onsite' with an expectation that you will primarily work from an HPE office.

As a Senior Engineer, you will be responsible for solution validation and customer engagement, automation and quality engineering, system-level testing and debugging, and technical leadership.

Responsibilities:

• Understand customer deployments, business requirements, architectures, and large-scale operational environments to develop comprehensive validation strategies.
• Drive 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 technical design workshops and architecture reviews 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.
• Participate in cross-functional initiatives that improve customer outcomes and product quality.

Automation & Quality Engineering:

• Contribute to automation strategy and implementation across products 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.
• Support innovation in automation infrastructure, tooling, and AI-assisted engineering practices.
• Promote 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.
• Perform root-cause investigations spanning multiple teams and technology domains.
• Differentiate product defects from infrastructure, automation, and environmental issues.
• Provide recommendations to improve product testability, diagnosability, and operational excellence.

Technical Leadership:

• Provide technical expertise for significant projects, releases, and engineering initiatives.
• Serve as a subject matter expert for solution validation, automation, and quality engineering.
• Partner with engineering teams across functions to align around quality objectives.
• Promote quality-first engineering practices throughout the development lifecycle.
• Mentor engineers through technical guidance, reviews, coaching, and knowledge sharing.
• Contribute to technical innovation through engineering improvements, knowledge sharing, and technical proposals.
• Support technical capabilities that create business value and customer impact.

Requirements:

• Strong programming expertise in Python, Go, or C++, with proficiency in at least one language.
• Experience designing and building automation frameworks and quality engineering solutions.
• Experience integrating large-scale automated testing into CI/CD environments.
• Experience delivering impactful automation initiatives.
• 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.

Preferred Qualifications:

• 10+ years of industry experience.
• Advanced networking expertise in Layer 2, Layer 3, TCP/IP, Routing, MPLS, EVPN, and data center technologies.
• Experience with network operating systems, cloud infrastructure, observability platforms, and distributed architectures.
• Working knowledge of JUNOS.
• Industry certifications such as JNCIE, CCIE, or equivalent.
• Experience leveraging AI-assisted engineering tools for automation development, test generation, diagnostics, failure analysis, and productivity improvements.
• Track record of innovation resulting in patents, publications, standards contributions, or architectural leadership.