Systems/Software Engineer - Performance Test and Analysis

Systems/Software Engineer - Performance Test and Analysis This role has been designed as Onsite with an expectation that you will primarily work from an HPE office.
In the HPE Hybrid Cloud , we lead the innovation agenda and technology roadmap for all of HPE. This includes managing the design, development, and product portfolio of our next-generation cloud platform, Green Lake. Working with customers, we help them reimagine their information technology needs to deliver a simple, consumable solution that helps them drive their business results. Join us redefine what s next for you.
About the Role
What Youll Do

• Design, develop, automate and execute performance validation and benchmark test plans for HPE Alletra Object and File Storage solutions.
• Define performance metrics, KPIs, scalability targets, and release acceptance criteria.
• Analyze performance bottlenecks across compute, memory, storage, networking, operating system, and distributed software layers.
• Participate in root-cause investigations and partner with engineering teams to resolve performance issues.
• Drive workload characterization, capacity planning, and performance tuning initiatives.
• Develop automation, tooling, and analytics solutions using Python and JavaScript.
• Influence product architecture and design through performance insights and data-driven recommendations.

What You Need to Bring Education & Experience

• Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or related discipline.
• 5+ years of experience in performance engineering, storage systems, distributed systems, or related areas.
• Proven experience diagnosing and resolving complex system performance issues.

Technical Skills

• Deep knowledge of computer architecture , including CPU, memory hierarchy, NUMA, and I/O subsystems.
• Strong understanding of Linux and operating system internals , including scheduling, memory management, synchronization, and performance profiling.
• Experience with distributed systems, storage architectures, and networking fundamentals .
• Strong programming skills in Python and experience developing automation and performance analysis tools.
• Working knowledge of JavaScript and modern development practices.
• Understanding of parallel programming, concurrency, and scalability concepts .
• Experience with performance benchmarking, profiling, workload modeling, and root-cause analysis.

Desired Characteristics

• Strong analytical and problem-solving skills with a passion for performance engineering.
• Ability to identify issues and drive root-cause analysis across the entire storage and networking stack.
• Excellent communication and collaboration skills.
• Growth mindset, intellectual curiosity, and a customer-first approach.
• Demonstrates HPE values through ownership, innovation, inclusion, integrity, and teamwork.

Additional Skills

#india #hybridcloud Engineering TCP_03

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