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QA Engineer II

DdnRemote - North Carolina🇺🇸United StatesPosted Oct 5, 2026

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeOn Site
LocationRemote - North Carolina, United States
Posted2 weeks ago
SQLGitAnsibleGitHub ActionsGrafanaPrometheusPythonRabbitMQRedisNode.jsPostgreSQLCI/CDLinux

Job 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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