QA Engineer II

DDN; North Carolina; Hybrid; USD 90,000 - 120,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python scripting

Linux fundamentals

PostgreSQL basics

CI/CD familiarity

Debugging/troubleshooting

Tools

Ansible

Celery

PostgreSQL

FIO

IOR

mdtest

Grafana

Prometheus

GitHub Actions

Job description

Performance QE Engineer – distributed storage platform

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).