Python automation

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. Data Direct 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 A3 I 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 SDET/Sr. 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 and manual test cases to validate product features Run automated and manual 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. 3+ years of component and system-level test experience 3+ years of experience working in Linux environments with Python languages; Experience with distributed filesystem storage environments Experience with file system, hardware fundamentals and common protocols (NFS / CIFS). Experience in storage systems troubleshooting and integration (NAS appliance a plus). Excellent time management skills, with the ability to independently prioritize, multitask, and work under deadlines in a fast paced environment Knowledge of Parallel File Systems, in particular Lustre, is highly preferred. Experience with git, JIRA, Jenkins and gerrit preferred Our team is highly motivated and focused on engineering excellence. We look for individuals who appreciate challenging themselves and thrive on curiosity. Engineers are encouraged to work across multiple areas of the company. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. Data Direct 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.