QA Engineer II

DDN · Remote

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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).

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