Staff Engineer - Performance

Job details

Work model

On-site

Salary

Not listed by source

Location

Pune Office

Hiring context

How this role compares at DDN

DDN has 96 live roles in MeritLog’s catalog across 10 job families, and 59 of them are in engineering. 31 of those listings publish a pay range, a disclosure rate of 32%.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

Job description

We are seeking a Staff Engineer – Performance with strong expertise in data path and I/O performance for large-scale distributed file systems. This role focuses on analyzing, optimizing, and improving performance across the storage stack, from low-level code paths to system-wide behavior at scale. You will work closely with architects and cross-functional teams to investigate complex performance issues, implement optimizations, and ensure high throughput and low latency in distributed systems. This role emphasizes hands-on technical contributions, performance tuning, and data-driven decision-making to improve overall system efficiency and reliability. KEY RESPONSIBILITIES: - Contribute to the performance design of data path and I/O components in distributed file systems - Perform performance analysis, troubleshooting, and optimization of 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 best practices for performance measurement, profiling, benchmarking, and regression detection - Investigate and resolve complex system-level performance issues - Collaborate with architects and senior engineers to incorporate performance considerations into system design - Work with cross-functional teams to validate and meet performance goals across the stack - Participate in design reviews with a focus on performance implications - Share knowledge and support peers in adopting effective performance engineering practices REQUIREMENTS: - Accountable and highly motivated with solid people skills - 10+ years’ experience 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++ 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 WHAT SUCCESS LOOKS LIKE - Consistently delivers measurable improvements in throughput, latency, and scalability - Identifies and mitigates performance bottlenecks early in the development lifecycle - Produces reliable performance analysis that informs design and implementation decisions - Contributes to stable, repeatable performance testing and regression detection practices - Effectively collaborates with team members to meet performance goals across components - Builds and applies strong performance engineering expertise to improve code and system quality