Define and own performance architecture for data path and I/O path components across distributed file systems
Lead performance analysis and optimization of large-scale, high-performance, scale-out file systems
Architect performance-aware designs across CPU, memory, storage, and network layers
Drive optimization of performance-critical file system code, primarily in C++
Establish best practices for performance measurement, profiling, benchmarking, and regression detection
Lead deep-dive investigations into complex, system-wide performance issues
Influence system architecture with a performance-first mindset
Mentor senior and staff engineers on performance engineering techniques and methodologies
Collaborate with cross-functional teams to ensure performance goals are met across the stack
Represent performance considerations in design reviews and long-term roadmap planning

15+ years of experience in performance engineering, systems engineering, or distributed systems
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++ 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

Principal Software Architect – Performance

Key skills