[Remote] Principal Software Engineer

Note: The job is a remote job and is open to candidates in USA. DataDirect Networks (reputed company) is a global market leader in AI and high-performance data storage innovation. They are seeking a Principal Software Engineer to reputed company NFS architecture across distributed file systems, focusing on performance analysis and optimization for large-scale systems.

Responsibilities

• Define and own architecture for NFS across distributed file systems
• Drive performance analysis and optimization of large-scale, high-performance, scale-out file systems
• Architect performance-aware NFS design and architecture
• Drive optimization of performance-critical distributed file system code, primarily in C++
• Help drive best practices for performance measurement, profiling, benchmarking, and regression detection
• reputed company deep-dive investigations into reputed company, system-wide issues
• Influence system architecture with a performance-first reputed company around NFS and accompanying tradeoffs against other protocols
• Mentor senior and staff engineers on engineering techniques and methodologies
• Collaborate with cross-functional teams to ensure goals are met across the stack
• Represent NFS considerations in design reviews and long-term roadmap planning

Skills

• 15+ years of experience in NFS engineering, systems engineering, or distributed systems
• Deep understanding of distributed file systems and scale-out storage architectures
• Expert-level knowledge of NFS and distributed file systems
• Strong proficiency in C++ with extensive experience in performance-critical code
• Proven expertise in performance measurement techniques, including profiling, tracing, benchmarking, and custom 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
• Experience with kernel-level and user-space I/O stacks
• Deep understanding of modern storage hardware (NVMe, SSDs, RDMA, high-speed networking)
• Experience building or evolving performance frameworks and benchmarking infrastructure
• Background in parallel programming, lock-free or low-contention designs
• Experience influencing architecture across multiple teams or large codebases

Company Overview

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