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
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Work upon performance testing for a large‑scale distributed storage platform supporting S3 object storage, POSIX file systems, and block‑level protocols.
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Write and maintain Ansible playbooks/roles for cluster setup, health checks, and install/configuration
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Contribute to Celery-based task orchestration for running I/O workloads in parallel
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Execute and troubleshoot storage benchmarks: FIO, IOR, mdtest, IO500, WARP
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Write Python scripts for parsing results, generating manifests, and normalizing metrics
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Help maintain the PostgreSQL results schema and Grafana dashboards
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Assist with test reporting integration
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Debug test failures and flaky pipeline run across protocols
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Contribute new benchmark profiles (YAML workload definitions) under review
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Work closely with developers to validate fixes and feature performance impact.
What You Bring
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Python (2+ yrs): comfortable with scripting, basic async/task-queue concepts (Celery a plus)
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Working knowledge of Ansible (writing/modifying playbooks and roles)
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Basic SQL skills (PostgreSQL)
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Linux fundamentals — filesystems, networking, processes
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Exposure to CI/CD tools (GitHub Actions or similar)
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Understanding of storage concepts (block/file/object) — willingness to learn benchmarking tools (FIO, IOR, mdtest)
Nice to Have
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Prior exposure to Redis/RabbitMQ or any message queue
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Grafana or other dashboarding tool experience
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Node.js basics
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Internship/project experience with performance testing or storage systems
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Familiarity with monitoring and metrics tools (Prometheus, Grafana).
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