DDN

Staff Engineer - Performance

DDN
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2 months ago
Pune, IndiaStaff+

Responsibilities

  • Contribute to the performance design of data path and I/O components in distributed file systems.
  • Analyze, troubleshoot, and optimize large-scale, high-performance file systems.
  • Implement performance-aware improvements across CPU, memory, storage, and network layers.
  • Optimize performance-critical file-system code primarily in C++.
  • Apply profiling, tracing, benchmarking, and custom tooling for performance measurement and regression detection.
  • Investigate and resolve complex system-level performance issues.
  • Collaborate with architects, senior engineers, and cross-functional teams to incorporate performance considerations into system design and meet performance goals.
  • Participate in performance-focused design reviews and share performance engineering practices with peers.

Requirements

  • 10+ years of experience in system software development and complex problem resolution.
  • Deep understanding of distributed file systems and scale-out storage architectures.
  • Expert-level knowledge of data path and I/O path design and optimization.
  • Strong proficiency in C++ and extensive experience with performance-critical code.
  • Proven expertise in profiling, tracing, benchmarking, and custom performance tooling.
  • Strong foundation in distributed systems principles, including scalability, concurrency, and fault tolerance.
  • Demonstrated experience optimizing file-system or storage-system code for performance at scale.
  • Experience with high-performance, high-scale-out file systems in production environments.
  • Strong accountability, motivation, and people skills.

Tech Stack

Categories

DDN

About DDN

1,001-5,000 employees

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.

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