QA Engineer II
At DDN · Remote - North Carolina; Raleigh, North Carolina, United States
Salary: US$110,000–140,000 a year
- QA and testing
- Full-time
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- Posted
- 5 October 2026
- First seen by us
- 15 October 2026
- Last checked
- 10 hours ago
Job description
From DDN’s job post, as they wrote it.
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.
Read the full description
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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