# Staff Engineer - Performance at DDN

Staff Engineer - Performance at DDN in Pune Office. On-site, full-time. Posted July 15, 2026.

- Company: DDN
- Location: Pune Office
- Workplace: On-site
- Job type: Full-time
- Experience: 10+ years
- Posted: 2026-07-15
- Apply: https://jobs.ashbyhq.com/ddn/700f325e-f73e-4a71-ac5f-f7476df8e5fa/application
- Source: https://jobmagic.ai/jobs/staff-engineer-performance-ddn-at077a

## 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

## 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