QA Engineer II

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. 

We are seeking a motivated and detail-oriented Software Engineer specializing in Test Automation to contribute to the quality engineering efforts for Infinia, DDN’s large-scale distributed data platform.

In this role, you will support the validation of distributed system components by executing test cases, contributing to automation, and learning to work with complex infrastructure systems. You will collaborate with experienced engineers to ensure product quality while building your technical expertise in testing, automation, and system-level validation.

This is an early-career role suited for individuals eager to grow in quality engineering and distributed systems.

Key Responsibilities

Test Execution & Validation

• Execute functional, integration, and system-level test cases for platform components such as scheduling, I/O paths, and services.
• Validate features against requirements and report defects with clear reproduction steps.
• Assist in verifying bug fixes and regression testing cycles.

Automation Contribution

• Contribute to automation by writing test scripts using tools such as Python or Pytest.
• Run automated test suites and report failures with relevant logs.
• Help maintain test scripts and ensure they are up to date.

Reliability & Scale Testing

• Support execution of stability & stress tests with predefined scenarios.
• Collect and analyze logs and metrics for identifying issues.
• Assist senior engineers in identifying system behavior under load.

Collaboration & Learning

• Work closely with team members to understand system architecture, features, and testing approaches.
• Participate in daily stand-ups, sprint activities, and test reviews.
• Continuously learn tools, frameworks, and testing methodologies used in the team.

Documentation & Reporting

• Document test cases, test execution results, and defect details.
• Maintain reports on test coverage and execution progress.
• Follow established QA processes and standards and suggest improvements.

Required Qualifications

• 1 – 5 years of experience in software test development or quality engineering.
• Programming or scripting knowledge (Python preferred).
• Good OS concepts.
• Understanding of software testing fundamentals (functional, regression, integration testing).
• Familiarity with version control tools (e.g., Git).
• Strong attention to detail and willingness to learn.
• Good communication and teamwork skills.

Preferred Qualifications

• Exposure to automation frameworks (e.g., Pytest) through coursework or projects.
• Basic knowledge of Linux/Unix environments and command-line tools.
• Familiarity with CI/CD concepts (Jenkins or similar).
• Introductory understanding of distributed systems, networking, or storage concepts.
• Experience in backend or infrastructure testing.

Join us to deliver the quality backbone of a world-class distributed platform—where scale, correctness, and reliability define success.

DataDirect Networks, Inc. is an Equal Opportunity/Affirmative Action employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, transgender, sex stereotyping, sexual orientation, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.