Job Description
- Job Description:
- 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
- Requirements:
- 12+ 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
- Benefits:
- Health insurance
- Retirement plans
- Professional development opportunities
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