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 worlds most demanding AI data centers in industries ranging from life sciences and healthcare to financial services autonomous cars Government academia research and manufacturing.

DDNs 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 Summary:

We are looking for a Lead SDET to work for our team in India.

We are looking for a Lead SDET to work on validation of high-performance storage solutions for HPC and AI markets. The ideal candidate will have experience designing implementing debugging and running both automated and manual software-based tests in a Linux environment using shell tools and scripts.

Responsibilities for this role include but are not limited to:

• Design and develop both automated test cases to validate product features
• Run automated tests as needed to validate product defect fixes and functionality
• Work with the Engineering manager and a geographically distributed team to understand product requirements and features
• Triage test failures on a daily basis
• Contribute to QA reports and provide input on release metrics
• Contribute to and validate product documentation

Qualifications:

• BS/MS in Computer Science Computer Engineering or equivalent degree/experience.
• 10 years of experience in Storage QA software quality engineering and test automation.
• Strong Python programming skills .
• Proven experience in designing implementing debugging and running automated and manual tests in a Linux environment.
• Proficiency with Linux shell scripting (bash) and system-level debugging.
• Hands-on experience with storage access protocols such as S3 NFS and Samba .
• Familiarity with storage systems and distributed file systems (e.g. Lustre GPFS Ceph WAFL) is highly desirable.
• 5 years of experience working with enterprise-class or HPC storage systems and/or distributed systems.
• Attention to detail and commitment to delivering high-quality error-free results.
• Strong team player with excellent communication skills and a self-starter attitude.
• Excellent time management skills with the ability to independently prioritize multitask and meet deadlines in a fast-paced environment.
• Experience with git JIRA Jenkins and Gerrit preferred.

DataDirect Networks (DDN) 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.