Performance QA Engineer – Distributed Storage Platform

DDN

North Carolina

Híbrido

USD 90 000 - 120 000

Tempo integral

Há 11 dias

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Resumo da oferta

DDN is seeking a Performance QE Engineer to drive performance testing for a distributed storage platform supporting S3 object storage, POSIX file systems, and block-level protocols. You will write Ansible playbooks, manage cluster setup, and orchestrate I/O workloads with Celery.

You will also develop Python scripts to parse results, maintain the PostgreSQL results schema, and tune Grafana dashboards while collaborating with developers to assess fixes and their impact on performance.

Qualificações

  • Proficient in Python scripting for parsing results and metrics.
  • Experience with Ansible for cluster setup and configuration.
  • Basics of PostgreSQL and SQL for results validation.
  • Strong Linux fundamentals: filesystems, networking, processes.
  • Familiarity with CI/CD tools and workflows (GitHub Actions).
  • Willingness to learn benchmarking tools (FIO/IOR/mdtest) and storage concepts.

Responsabilidades

  • Perform performance testing for a distributed storage platform.
  • Write and maintain Ansible playbooks and roles for cluster setup and health checks.
  • Contribute to Celery-based task orchestration for parallel I/O workloads.
  • Execute and troubleshoot benchmarks using FIO, IOR, mdtest, IO500, WARP.
  • Develop Python scripts to parse results and generate metrics manifests.
  • Maintain PostgreSQL results schema and Grafana dashboards.
  • Assist with test reporting integration and flaky-test troubleshooting.
  • Contribute new benchmark profiles (YAML workloads) under review.
  • Collaborate with developers to validate fixes and performance impact.

Conhecimentos

Python scripting
Linux fundamentals
PostgreSQL basics
CI/CD familiarity
Debugging/troubleshooting

Ferramentas

Ansible
Celery
PostgreSQL
FIO
IOR
mdtest
Grafana
Prometheus
GitHub Actions

Descrição da oferta de emprego

DDN is seeking a Performance QE Engineer to drive performance testing for a distributed storage platform supporting S3 object storage, POSIX file systems, and block-level protocols. You will write Ansible playbooks, manage cluster setup, and orchestrate I/O workloads with Celery.

You will also develop Python scripts to parse results, maintain the PostgreSQL results schema, and tune Grafana dashboards while collaborating with developers to assess fixes and their impact on performance.

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