Staff Engineer - Performance

Posted 3 Days Ago
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Hiring Remotely in Office, Machaze, Manica, MOZ
Remote
Expert/Leader
Artificial Intelligence • Machine Learning • Software • Analytics
The Role
Develop and optimize data path and I/O performance for large-scale distributed file systems. Analyze bottlenecks, profile and benchmark systems, implement performance-critical C++ improvements, and address CPU, memory, storage, and network issues. Collaborate with architects and cross-functional teams on performance-focused design, testing, regression detection, and system reliability. The role requires deep distributed systems, storage architecture, concurrency, scalability, and fault-tolerance expertise, along with 10+ years of system software development experience.
Summary Generated by Built In

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

Skills Required

  • 10+ years of experience in 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
  • Expertise in performance measurement, profiling, tracing, benchmarking, and custom tooling
  • Strong foundation in distributed systems, including scalability, concurrency, and fault tolerance
  • Experience optimizing file system or storage system code for performance at scale
  • Experience with high-performance, high-scale-out file systems in production environments
  • Strong communication and collaboration skills
  • Accountability and motivation
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The Company
HQ: Chatsworth, CA
706 Employees
Year Founded: 1998

What We Do

DDN is the world’s largest private data storage company and the leading provider of intelligent technology and infrastructure solutions for Enterprise At Scale, AI and analytics, HPC, government and academia customers. Through its DDN and Tintri divisions, the company delivers AI, Data Management software and hardware solutions, and unified analytics frameworks to solve complex business challenges for data-intensive, global organizations. DDN provides its enterprise customers with the most flexible, efficient and reliable data storage solutions for on-premises and multi-cloud environments at any scale. Over the last two decades, DDN has established itself as the data management provider of choice for over 11,000 enterprises, government, and public-sector customers, including many of the world’s leading financial services firms, life science organizations, manufacturing and energy companies, research facilities, and web and cloud service providers.

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