Principal Sdet

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 Summary We are seeking a Lead SDET with deep experience in Distributed Storage and High-Performance Computing HPC to lead our system validation and test architecture efforts In this role you will be responsible for defining QA strategies that ensure the correctness performance and resilience of storage solutions designed for petabyte-scale data and HPC environments You ll work closely with engineering system architects and performance teams to validate functionality and optimize reliability in massively parallel workloads Key Responsibilities Define implement and own the end-to-end QA architecture for distributed storage systems in HPC environments Architect scalable test frameworks and automation pipelines to validate storage performance throughput IO behavior and system reliability at scale Design test plans that cover key areas such as metadata operations object lifecycle parallel IO file system consistency and failure scenarios Lead performance benchmarking using industry-standard tools and custom workloads e g IOR MDTest FIO Vdbench Validate integration with HPC compute clusters schedulers e g Lustre and storage tiers e g NVMe SSD HDD Simulate large-scale distributed environments and execute fault-injection and resilience testing Collaborate with product managers architects and DevOps teams to ensure test coverage across CI CD pipelines and production-like environments Mentor QA engineers in automation development performance validation and HPC-specific debugging techniques Analyze test data identify trends bottlenecks or regressions and communicate findings clearly to engineering stakeholders Design and implement automated test cases using BDD frameworks such as Cucumber Gherkin or similar Develop test automation scripts and test utilities in Rust Required Skills and Qualifications Bachelor s or Master s degree in Computer Science Electrical Engineering or related field 15 years of experience in software QA or systems testing with 5 years in a QA Architect or technical lead role Deep knowledge of distributed storage systems e g Lustre Ceph GPFS Spectrum Scale BeeGFS GlusterFS Experience with HPC workloads and environments including MPI high-throughput clusters InfiniBand and RDMA Strong understanding of POSIX file systems object storage interfaces e g S3 and parallel file systems Proficiency in automation and scripting Python Bash Rust Hands-on experience with storage benchmarking and profiling tools IOR MDTest FIO Vdbench Perf iostat collectl Familiarity with CI CD tools and infrastructure-as-code e g Jenkins GitLab CI Ansible Terraform Solid understanding of system-level debugging and analysis tools Strong communication skills and ability to lead cross-functional quality initiatives Cross-collaboration with Dev teams to understand specifications Preferred Qualifications Experience working with large-scale HPC clusters or supercomputing environments Exposure to data-intensive applications like AI ML pipelines genomics scientific simulations or real-time analytics Familiarity with Kubernetes container storage interfaces CSI and containerized HPC workflows Experience with hardware validation NVMe SSD HDD tiering network fabric performance tuning Certifications in storage e g SNIA or HPC systems Knowledge of Cloud Solutions GCP AWS DDN 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