QA Engineer II

DDN · United States · FullTime · Remote · 10 days ago

Sign up to apply
Your first one is free
Posted October 05, 2026 · Read from DDN
Why a CV for this job?

94% of employers say their filters drop qualified candidates whose CV does not match the ad's exact criteria (Harvard Business School, 2021).

  • They see what they asked for, first. Your experience that matches the ad leads, in the ad's own words, so someone skimming finds it in seconds.
  • It gets past the software. Many larger employers use software that ranks CVs by how closely they match the ad, often before anyone reads them.
  • In the language of the ad. An ad written in Spanish gets a CV in Spanish, even when yours is in Portuguese.
  • Your facts, nothing invented. Your own experience, reordered and reworded. What the ad wants and your CV does not show is listed for you to add, only if it is true. You check it before you send it.
See an example

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).

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.

Employer
DDN
Location
United States · Remote
Contract
FullTime
Salary
110000–140000 USD 1 YEAR