2 months ago
Pune, IndiaStaff+
Responsibilities
- Design and implement high-performance data path components for the Data Ocean platform.
- Develop intelligent caching, cache quotas, eviction policies, lifecycle controls, and object storage capabilities.
- Build scalable services for data movement across object, file, and block storage environments.
- Implement metadata management, object tracking, lookup, and on-demand retrieval services.
- Optimize data transfer pipelines and storage services for throughput, latency, scalability, and reliability.
- Develop production-quality C/C++ multithreaded systems software on Linux.
- Debug complex issues involving performance, concurrency, data consistency, and large-scale storage workloads.
- Participate in architecture discussions, technical design reviews, and code reviews.
- Collaborate with senior engineers, architects, QA, performance engineering, release teams, and cross-functional global engineering groups.
- Contribute to engineering best practices, automation, and continuous improvement.
Requirements
- 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++ and production-grade software development.
- Strong Linux systems programming experience.
- Experience with multithreading, concurrency, synchronization, and performance tuning.
- Understanding of storage systems, filesystems, or distributed storage architectures.
- Experience with object storage concepts and APIs, including S3.
- Ability to debug complex software issues and optimize performance-critical systems.
- Preferred: experience with distributed storage systems or high-performance data platforms.
- Preferred: knowledge of filesystem internals, metadata management, and namespace services.
- Preferred: experience with intelligent caching, data tiering, replication, or data mobility solutions.
- Preferred: familiarity with storage protocols, networking technologies, cloud storage integration, AI infrastructure, HPC workloads, or large-scale data processing environments.
Benefits
- Opportunity to work on foundational storage technologies supporting next-generation AI, HPC, and enterprise workloads.
- Opportunity to design and build high-performance distributed systems software and solve challenging scalability and performance problems.
- Collaboration with a global engineering team delivering advanced data management solutions.
About DDN
DDN builds high-performance data storage and data management systems for AI, machine learning, and high-performance computing workloads used by enterprises, research institutions, and governments. It sells appliance hardware and software (including parallel file systems and AI data platforms) along with support and professional services. Founded in 1998 and headquartered in Chatsworth, California, the privately held company reports serving over 11,000 organizations worldwide.