Six Figure Work

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QA Engineer II

DDN

Company websiteddn.com (DDN, opens in new tab)

Base salary $110K  to $140K

Employer-published annual base salary, USD. Advertised base range in North Carolina

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  • LocationNorth Carolina
  • WorkplaceOn-site
  • Status at last checkSource accepting applications when checked
  • Last checked (34 min ago) · observed since

About this job

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).

Source: DDN on Ashby · View original posting (opens in new tab)

This range next to 6 other live DDN roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live DDN roles with the nearest advertised base floor
RolePublished base
QA Engineer II (this listing)$110K - $140K
Senior Revenue Accountant$110K - $125K
Senior Analytics Engineer$120K - $150K
Senior Accountant$130K - $165K
Senior Analyst/Manager, Product Finance$130K - $190K
Staff Salesforce Developer – Quote to Cash$150K - $175K
Global Head of Benefits$150K - $215K

Same $100K to $400K scale as every card. All DDN roles · How to read the bar

Observed changes

  1. Began meeting the published-salary criteria
  2. First observed on the employer's board
Observed since
Employer-stated posting date
2026-10-05
Where this pay comes from

Location as the employer wrote it: Remote - North Carolina

USD 110,000 – 140,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.