QA Automation Engineer — AI & Playwright Expert

BigBear.ai; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

BigBear.ai is seeking a QA Automation Engineer to translate nuanced product requirements into robust test coverage using Playwright and TypeScript/JavaScript. The role focuses on automating tests across browser, application, and backend surfaces, including AI-driven workflows, while ensuring security, auditability, and release readiness.

Collaboration with Product and Engineering is key. You will build risk-based coverage, integrate tests into CI/CD, and maintain evidence-backed regression

Qualifications

• 4+ years of QA automation engineering experience.
• Demonstrated experience building automated tests with Playwright, including fixtures, selectors, and assertions.
• Strong coding ability in TypeScript or JavaScript, with Git experience.
• Experience with API testing, CI/CD integration, and diagnosing failures across browser, application, and backend boundaries.
• Ability to reason about complex requirements and edge cases.

Responsibilities

• Translate product requirements into testable outcomes with acceptance criteria.
• Own automated test coverage across browser, application, and backend.
• Develop risk-based testing strategies prioritizing customer impact.
• Test AI workflows including streaming responses, conversation history, and tool execution.
• Evaluate AI response quality with evaluation datasets and scoring criteria.
• Integrate tests into CI/CD and maintain test data isolation.
• Report defects with reproducible evidence and assess release risk.

Skills

QA automation

Playwright

TypeScript/JavaScript

API testing

CI/CD

Git

Troubleshooting

Department of Defense clearance

Tools

Playwright

Python

SQL

PostgreSQL

Docker

Kubernetes

Job description

BigBear.ai is seeking a QA Automation Engineer to translate nuanced product requirements into robust test coverage using Playwright and TypeScript/JavaScript. The role focuses on automating tests across browser, application, and backend surfaces, including AI-driven workflows, while ensuring security, auditability, and release readiness.

Collaboration with Product and Engineering is key. You will build risk-based coverage, integrate tests into CI/CD, and maintain evidence-backed regression