Remote QA Engineer - AI Decision-Support & Automation

redcellpartners; United States; Remote; USD 110,000 - 160,000; Full time

Job summary

Red Cell Partners is seeking an experienced QA Engineer to own quality for an AI-enabled decision-support system at DEFCON AI. You will lead the test strategy, automation, and evidence that requirements are met, reporting to the Product Lead with daily collaboration with engineering and platform teams.

You will build scalable automated tests, validate performance under expected load, and ensure release governance with clear acceptance criteria and traceable evidence for every deployment.

Qualifications

• 5+ years in software quality engineering or test automation.
• Strong coding ability for test automation (Python or JS/TS).

Responsibilities

• Own the system test plan covering functional, integration, performance and load testing.
• Translate product acceptance criteria into executable tests.
• Review acceptance criteria with product before development; flag ambiguities.
• Hold teams accountable to acceptance criteria and define required evidence.
• Work daily with engineering; test what is built and report findings.
• Plan and coordinate user acceptance testing with the customer.
• Build and maintain automated test suites and CI/CD gates.
• Establish automated coverage standards and report against them.
• Create performance/load tests to validate under expected load.
• Maintain regression coverage across releases.
• Create labeled evaluation sets with SMEs.
• Design and run audits to verify automated decisions.
• Measure misses vs hits and report trends.
• Document calculation methods and evidence for releases.
• Produce evidence independently of model builders.

Skills

QA ownership

Test automation

CI/CD

Python

JavaScript/TypeScript

Education

Bachelor's degree (or equivalent)

Tools

Playwright

Cypress

Selenium

pytest

Job description

Red Cell Partners is seeking an experienced QA Engineer to own quality for an AI-enabled decision-support system at DEFCON AI. You will lead the test strategy, automation, and evidence that requirements are met, reporting to the Product Lead with daily collaboration with engineering and platform teams.

You will build scalable automated tests, validate performance under expected load, and ensure release governance with clear acceptance criteria and traceable evidence for every deployment.