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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