Storage Systems Engineer

Overview

Develop and maintain core storage system components and scalable, distributed storage features for HPE HPC storage products supporting HPC and AI workloads, with a focus on performance, scalability and reliability.

What you'll do

• Develop and maintain core storage system components, including the data path, metadata, protocols and management services.
• Design and implement scalable, distributed storage features with focus on performance and reliability.
• Debug and resolve complex system-level issues across software, firmware and hardware interactions.
• Collaborate with cross-functional hardware, networking, performance and support teams.
• Contribute to system architecture, design reviews and feature planning.
• Ensure compliance with HPE secure development lifecycle and coding standards.
• Support testing, validation and release activities.
• Produce technical documentation and participate in code reviews.
• Work on features directly impacting system performance, scalability and reliability.
• Collaborate across global engineering teams.

What you'll need

• Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent.
• Typically 4-6 years experience.
• Strong programming skills in C/C++.
• Experience with Linux/Unix systems and system-level development.
• Knowledge of distributed systems and parallel computing concepts.
• Strong debugging and problem-solving skills.
• Understanding of networking fundamentals, including TCP/IP and high-speed interconnects.
• Experience with storage technologies, including file systems, block or object storage.
• Expertise in multiple software systems design tools and languages.
• Software engineering fundamentals and system design.
• Distributed systems and scalability.
• Security-first development mindset.
• Strong cross-team collaboration and communication.
• Ability to solve complex technical problems with measurable impact.

Nice to have

• Python programming skills.
• Experience with Lustre and/or HPC storage systems.
• Experience in performance tuning and large-scale distributed systems.
• Familiarity with cloud-native or microservices architectures.
• Experience with DevOps, CI/CD and automation tools.
• Exposure to hardware/software integration, including servers, SSD/HDD and networking.

Details

• Hybrid role requiring an average of 2 days per week from an HPE office.
• Location: Bengaluru, Karnātaka, India.