[Remote] QA Engineer II

Note: The job is a remote job and is open to candidates in USA. DDN is hiring a Performance QE Engineer to support its distributed RED (Infinia) storage platform. The role focuses on building automated benchmarking infrastructure, executing storage performance tests across S3, POSIX/HPC, and block protocols, and developing tools for orchestration, results analysis, reporting, and dashboards.

Responsibilities

• 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

Skills

• 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)
• 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)

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