DDN - Staff Software Engineer - Datapath in Pune, भारत

About the job:DDN is seeking a Staff Software Engineer to join the Data Ocean engineering team and develop high-performance data path software for next-generation AI and enterprise storage https://jobeax.com/link/ZjwtbDzaKMLhOuHB role focuses on designing, implementing, and optimizing core data path services that enable intelligent caching, object storage integration, metadata management, and efficient data movement across modern storage https://jobeax.com/link/m7FLZdCihDPQzn7w ideal candidate is a strong systems engineer with deep C/C++ development expertise, experience building high-performance Linux-based software, and a passion for solving complex storage and distributed systems https://jobeax.com/link/lVPOBqph6tw5KwjE is a hands-on engineering role requiring ownership of design, implementation, debugging, performance optimization, and delivery of production-quality software.Responsibilities:- Design and implement high-performance data path components for the Data Ocean platform.- Develop intelligent caching capabilities for object storage workloads.- Build scalable services for data movement across object, file, and block storage environments.- Implement metadata management services supporting efficient object tracking, lookup, and on-demand retrieval.- Develop cache management capabilities including quota management, eviction policies, and lifecycle controls.- Optimize data transfer pipelines for throughput, latency, scalability, and reliability.- Analyze, debug, and optimize system performance across large-scale storage workloads.- Develop production-quality C/C++ software for high-performance storage systems.- Design and implement multithreaded, concurrent systems software on Linux platforms.- Work on storage data path components involving caching, metadata handling, I/O processing, and distributed coordination.- Improve scalability, reliability, and performance of core storage services through profiling and optimization.- Troubleshoot complex system issues involving performance, concurrency, and data consistency.- Participate in architecture discussions, technical design reviews, and code reviews.- Collaborate with senior engineers, architects, and cross-functional teams across global engineering locations.- Work closely with QA, performance engineering, and release teams to deliver reliable production software.- Contribute to engineering best practices, automation, and continuous improvement https://jobeax.com/link/GTNZKF2kxpVUFhTn Qualifications:- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field.- 8+ years of experience developing systems software, storage software, or distributed systems.- Strong expertise in C/C++ programming with experience developing production-grade software.- Strong Linux systems programming experience.- Experience with multithreaded programming, concurrency, synchronization, and performance tuning.- Understanding of storage systems, filesystems, or distributed storage architectures.- Experience working with object storage concepts and APIs, including S3.- Ability to debug complex software issues and optimize performance-critical https://jobeax.com/link/tlR41OcrwRbSSvtb Qualifications:- Experience developing distributed storage systems or high-performance data platforms.- Knowledge of filesystem internals, metadata management, and namespace services.- Experience with intelligent caching, data tiering, replication, or data mobility solutions.- Familiarity with storage protocols and networking technologies.- Experience integrating cloud storage with enterprise storage platforms.- Familiarity with AI infrastructure, HPC workloads, or large-scale data processing https://jobeax.com/link/KOn4eruM62ilULzo Join DDN?:- As a Staff Software Engineer - Data Path, Data Ocean, you will work on foundational storage technologies powering next-generation AI, HPC, and enterprise workloads.- You will have the opportunity to design and build high-performance distributed systems software, solve challenging scalability and performance problems, and contribute to a global engineering team delivering advanced data management solutions for modern AI infrastructure. (ref:hirist.tech)