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Data Storage, High-Performance Computing (HPC), Enterprise Software, Hardware

QA Engineer II

United StatesOnsiteFull TimePosted 1 month agoVisa sponsorship available

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Required skills

  • quality assurance
  • software testing
  • test plans
  • test cases
  • validation procedures
  • functional testing
  • regression testing
  • integration testing
  • exploratory testing
  • defect lifecycle management

Nice to have

  • scripting
  • automation
  • test automation frameworks
  • CI/CD environments
  • performance testing
  • reliability testing

Role summary

We are seeking a detail-oriented QA Engineer II to ensure the quality, reliability, and performance of our products and platforms. This role involves designing and executing test strategies, identifying defects, validating fixes, and collaborating with engineering teams to enhance product quality throughout the development lifecycle. You will work cross-functionally with software engineers and product managers to validate new features, perform regression testing, and improve test coverage across manual and automated workflows. The ideal candidate is curious, methodical, and adept at investigating issues deeply.

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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