Performance QE Engineer – distributed storage platform DDN is hiring a Performance Automation Engineer to help build and extend our automated benchmarking infrastructure for the RED (Infinia) storage platform — covering S3, Block/CSI, and POSIX/HPC I/O paths, from test orchestration through results collection and dashboards. The role requires knowledge & experience in storage performance testing, automation, and system‑level benchmarking, along with strong Python and Ansible skills to build scalable, repeatable test frameworks. What You’ll Do - Work upon performance testing for a large‑scale distributed storage platform supporting S3 object storage, POSIX file systems, and block‑level protocols. - Write and maintain Ansible playbooks/roles for cluster setup, health checks, and install/configuration - Contribute to Celery-based task orchestration for running I/O workloads in parallel - Execute and troubleshoot storage benchmarks: FIO, IOR, mdtest, IO500, WARP - Write Python scripts for parsing results, generating manifests, and normalizing metrics - Help maintain the PostgreSQL results schema and Grafana dashboards - Assist with test reporting integration - Debug test failures and flaky pipeline run across protocols - Contribute new benchmark profiles (YAML workload definitions) under review - Work closely with developers to validate fixes and feature performance impact. What You Bring - Python (2+ yrs): comfortable with scripting, basic async/task-queue concepts (Celery a plus) - Working knowledge of Ansible (writing/modifying playbooks and roles) - Basic SQL skills (PostgreSQL) - Linux fundamentals — filesystems, networking, processes - Exposure to CI/CD tools (GitHub Actions or similar) - Understanding of storage concepts (block/file/object) — willingness to learn benchmarking tools (FIO, IOR, mdtest) Nice to Have - Prior exposure to Redis/RabbitMQ or any message queue - Grafana or other dashboarding tool experience - Node.js basics - Internship/project experience with performance testing or storage systems - Familiarity with monitoring and metrics tools (Prometheus, Grafana).