Job Overview

Hewlett Packard Enterprise is hiring a Storage Systems Engineer in Bengaluru for its High Performance Computing, AI and Labs organization. This onsite engineering role focuses on building high-performance and scalable storage software for HPE HPC storage platforms, including HPE Cray ClusterStor and DAOS.

The position is suited to an experienced systems engineer who enjoys working close to the operating system, storage stack, distributed systems, networking, and hardware. You will contribute to software used for demanding HPC and AI workloads, where performance, reliability, scalability, and efficient data access are critical. The work covers core storage functionality as well as debugging, architecture discussions, testing, release activities, documentation, and collaboration with global engineering teams.

Key Responsibilities

• Design, implement, and maintain core components of distributed storage systems supporting HPC and AI workloads.
• Work on storage data paths, metadata services, protocols, and management components.
• Develop scalable storage capabilities with a strong focus on performance, reliability, and system availability.
• Investigate complex system-level problems involving software, firmware, hardware, storage, and networking components.
• Analyze difficult failures and identify practical solutions that improve system stability and customer outcomes.
• Participate in system architecture discussions, technical design reviews, feature planning, and engineering decisions.
• Collaborate with hardware, networking, performance engineering, and technical support teams.
• Follow secure software development practices and applicable HPE coding standards.
• Contribute to software testing, validation, release preparation, and quality activities.
• Review code and provide technical feedback to improve maintainability and engineering quality.
• Prepare technical documentation covering designs, implementation details, troubleshooting information, and system behavior.
• Contribute to features that improve the performance, scalability, and reliability of HPE HPC storage platforms.

Required Skills

Strong C and C++ programming experience is required, with Python considered an additional advantage. Candidates should be comfortable with Linux or Unix environments and system-level software development.

A solid understanding of distributed systems and parallel computing is important because the role involves storage platforms designed to handle large-scale and data-intensive workloads. Knowledge of networking fundamentals, including TCP/IP and high-speed interconnects, is also expected.

Candidates should understand storage technologies such as file systems, block storage, and object storage. Strong debugging and problem-solving abilities are essential for diagnosing issues that can span multiple layers of a complex computing environment.

Preferred Skills

Experience with Lustre or other HPC storage technologies is highly relevant. Candidates with backgrounds in performance tuning, large distributed systems, cloud-native architectures, or microservices can also bring useful expertise to the role.

Experience with DevOps, CI/CD, automation, and hardware-software integration is desirable. Exposure to servers, SSDs, HDDs, and networking hardware can be helpful when troubleshooting system-level behavior.

Education

A Bachelor's or Master's degree in Computer Science, Information Systems, or an equivalent technical discipline is required.

Experience

The position typically requires 5 or more years of professional experience. The role is intended for engineers with practical experience in C or C++, Linux or Unix system development, distributed systems, storage technologies, and complex technical troubleshooting.

Required Technologies

• C
• C++
• Python
• Linux
• Unix
• Distributed Systems
• Parallel Computing
• TCP/IP
• High-Speed Interconnects
• File Systems
• Block Storage
• Object Storage
• HPE Cray ClusterStor
• DAOS
• Lustre
• HPC Storage
• Cloud-Native Architecture
• Microservices
• DevOps
• CI/CD
• Automation
• SSD
• HDD
• Firmware
• Networking

Soft Skills

The role requires strong analytical thinking and a structured approach to solving complex system problems. Clear communication is important because the engineer will work across software, hardware, networking, performance, and support functions.

Candidates should be comfortable participating in design reviews, code reviews, feature planning, and cross-team technical discussions. Attention to detail is particularly important when working on storage software where changes can affect performance, reliability, scalability, and data handling.

Benefits of Working in this Role

This opportunity provides hands-on exposure to advanced HPC and AI infrastructure and large-scale distributed storage systems. Engineers can strengthen their skills in systems programming, C/C++, Linux, storage architecture, performance engineering, distributed computing, networking, and hardware-software integration.

The role also offers experience contributing to core storage products where engineering decisions can directly influence system performance, scalability, and reliability. Collaboration with global engineering teams can provide broader exposure to complex infrastructure development and production-quality software practices.

Work Mode

This is an onsite role. The job description states that the position is designed with an expectation that the employee will primarily work from an HPE office.

Location

The position is based in Bengaluru, Karnataka, India. The listed location is Bengaluru, Karnataka, 560048.

Who Should Apply

This role is suitable for experienced Storage Engineers, Systems Software Engineers, C++ Developers, Linux Engineers, Distributed Systems Engineers, HPC Engineers, and infrastructure software professionals with 5 or more years of relevant experience.

Candidates with experience in file systems, HPC storage, distributed storage, parallel computing, Linux system programming, or high-performance infrastructure are especially relevant. Professionals who enjoy debugging problems across software and hardware boundaries may also find this role a strong fit.

Career Growth

Working on HPC storage platforms can help engineers build deeper expertise in systems programming, distributed storage, performance optimization, reliability engineering, and infrastructure architecture. Experience with HPE Cray ClusterStor and DAOS can also provide valuable exposure to technologies used for demanding HPC and AI workloads.

Over time, the combination of technical ownership, architecture participation, cross-functional collaboration, and large-scale systems experience can support progression toward senior systems engineering, storage architecture, performance engineering, or technical leadership roles.

Application Advice

Highlight practical C and C++ development experience, especially work involving Linux or Unix systems and large-scale software. Explain projects where you designed or maintained storage components, distributed systems, file systems, or performance-sensitive infrastructure.

Clearly mention experience with debugging, system architecture, networking, TCP/IP, storage protocols, parallel computing, and performance tuning. If you have worked with Lustre, HPC platforms, ClusterStor, DAOS, CI/CD, DevOps, automation, microservices, or cloud-native systems, make those skills easy to identify.

Use specific examples to demonstrate measurable improvements in performance, scalability, reliability, testing, or troubleshooting. Also highlight collaboration with hardware, networking, performance, and support teams.