QA Engineer II

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).