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Tier-1 employer, Bengaluru location, mid-level experience, and popular backend title increase competition.
Specialized storage and HPC systems require domain-specific expertise, limiting cross-industry transferability.
Explicit 4-6 years and mandatory C/C++, Linux, and distributed systems create strict technical filters.
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Design and develop scalable, high-performance storage system software for HPE HPC Storage platforms such as HPE Cray ClusterStor and DAOS.
Contribute to core system functionality, focusing on performance, reliability, and distributed storage features supporting HPC and AI workloads.
Collaborate with cross-functional teams on system architecture, debugging complex system-level issues, and support testing, validation, and release activities.
Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent.
4-6 years of relevant work experience in system-level development.
Strong programming skills in C/C++, experience with Linux/Unix, distributed systems, and storage technologies (file systems, block or object storage).
Hybrid work model requiring approximately 2 days per week onsite at an HPE office.
Experienced in high-performance computing (HPC) and AI storage systems, preferably with knowledge of Lustre and HPC storage platforms.
Skilled in debugging and performance tuning of large-scale distributed storage systems with strong system design expertise.
Comfortable working in cross-functional and global engineering teams with exposure to hardware/software integration, DevOps, and cloud-native architectures.