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DDN

QA Engineer II

DDN Raleigh, North Carolina, United States · $110K–$140K/yr

Software Development · 1,001-5,000 employees

4 d ago
qa Mid (2-5 yrs) Full-time United States
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About the role

The Performance Automation Engineer will build and maintain automated benchmarking infrastructure for distributed storage platforms. Responsibilities include writing Ansible playbooks, orchestrating I/O workloads, and analyzing performance metrics using Python and various benchmarking tools.

What they look for

Python Ansible Storage Performance Testing Automation System-level Benchmarking Linux PostgreSQL CI/CD FIO IOR Mdtest IO500 WARP Grafana Celery Distributed Storage

Requirements

Candidates must have at least 2 years of experience with Python and working knowledge of Ansible. A strong foundation in Linux, storage concepts, and SQL is required to effectively troubleshoot and report on system performance.

Full description

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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