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Staff Engineer in Test

DDN
San Francisco, United StatesRemotefull_timeVerifiedPosted 22 Jun 2026
💰 $185,000/yr($145,000/yr$185,000/yr)

About the role

Overview

This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.

  

"DDN's A3I solutions are transforming the landscape of AI infrastructure." – IDC 

 

“The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments” - Marc Hamilton, VP, Solutions Architecture & Engineering | NVIDIA 

  

DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence. 

  

Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management. 

  

Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage. 

Job Description

We are seeking a highly skilled and technically strong Staff Engineer in Test to lead system level quality engineering efforts for networking, security and other enterprise readiness aspects of Infinia, DDN’s large-scale distributed data platform.

 

In this role, you will be a senior technical authority responsible for planning and implementing test strategies and test infrastructures to ensure correctness, stability, performance, and resilience of Infinia’s distributed architecture. You will work across core subsystems—including the I/O path, memory management, networking stack, scheduling layers, multi-tenant services, and NVMe-backed storage

patterns—to ensure platform quality at scale.

 

This is a hands-on, high-impact IC role for someone who can solve hard problems, automate at scale, leverage AI to improve velocity and elevate quality engineering across the organization.

 

Key Responsibilities:

 

Quality Engineering & System Validation

  • Design detailed test strategies and validation plans for networking and security features for distributed system
  • Create scalable, automated test suites that validate multi-tenant behavior, concurrency, data consistency, and system-level performance.

Automation Frameworks & Tooling

  • Build and maintain robust automation using tools such as Pytest and container-based environments leveraging Docker, Jenkins, Kubernetes.
  • Develop reusable automation templates, harnesses, and utilities to accelerate test creation and reduce engineering overhead.

Performance, Reliability & Scale Testing

  • Construct and execute performance tests covering I/O throughput, system latency, NVMe access patterns, concurrency limits, and long-running workload stability.
  • Use advanced tools (profilers, fuzzers, failure-injection frameworks, trace analyzers) to uncover issues in distributed workflows.
  • Analyze CPU, memory, disk, and network utilization to diagnose performance bottlenecks and identify regression risks.

Cross-Functional Quality Leadership

  • Work closely with architects, developers, release engineering, DevOps, and customer engineering to drive quality-first design decisions.
  • Participate in feature design reviews, ensuring testability, observability, and resilience are built into system components.
  • Lead root cause analysis (RCA) for complex issues and propose long-term improvements to engineering practices and platform stability.

Documentation & Quality Standards

  • Produce clear, detailed test plans, automation guides, design-review feedback, and quality metrics reports.
  • Contribute to the development and maintenance of internal QA standards, best practices, and. onboarding materials.

Required Qualifications

  • 10+ years of experience in software quality engineering, with strong focus on distributed systems, system-level testing, or infrastructure plat

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Company

DDN

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