Staff Engineer - Data Path

Responsibilities

• Data Path Software Development
• 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 initiatives.

Required 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 systems.

Preferred 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 environments.

Why Join DDN?