Sr. QA Engineer

Purple Squirrels; Town of Newark (WI); On-site; USD 100,000 - 150,000; Full time

Job summary

Purple Squirrels is seeking a QA engineer to design, build, and maintain automated test suites (UI, API, integration) with AI-assisted tools. You will own end-to-end QA for features, perform test planning, design test cases, and drive exploratory and regression testing.

You will triage defects with developers and help integrate AI tools into the QA pipeline. The role emphasizes API testing, CI/CD integration, and mentoring other QA engineers in using AI tooling without compromising test rigor.

Qualifications

• 6–9 years of QA engineering experience.
• 2+ years building and maintaining test automation frameworks.
• Hands-on with AI-assisted testing tools in production QA workflows.
• Experience with API testing and CI/CD pipelines.
• Ability to own full QA cycles including planning and defect management.
• Familiarity with AI-assisted code review and testing tools.

Responsibilities

• Own end-to-end QA for assigned feature areas, including test planning and design.
• Conduct exploratory testing and ensure regression coverage.
• Triage, log and track defects with developers for fixes.
• Build and maintain CI/CD test integration for reliable runs.
• Analyze results to identify quality risk areas before release.
• Mentor other QA engineers in applying AI tooling without sacrificing rigor.

Skills

QA engineering

Test planning

Exploratory testing

Defect management

Mentoring

Tools

Selenium

Playwright

Cypress

Postman

REST Assured

Jenkins

GitHub Actions

GitLab CI

GitHub Copilot

Cursor

Job description

Newark, United States | Posted on 11/05/2026

Design, build, and maintain automated test suites (UI, API, integration) using AI-assisted tools to accelerate test-case generation, maintenance, and self-healing of flaky tests

Own end-to-end QA for assigned feature areas — test planning, test-case design, exploratory testing, and regression coverage, not just automation

Evaluate and integrate AI/ML-based testing tools (e.g., AI test-generation copilots, visual-regression AI, anomaly detection in test results) into the existing QA pipeline

Triage, log, and track defects through resolution; collaborate directly with developers on root cause and fix verification

Build and maintain CI/CD test integration so automated suites run reliably on every build

Analyze test results and production signals to identify quality risk areas before they become customer-facing defects

Mentor other QA engineers on applying AI tooling effectively without sacrificing test rigor

Requirements

6–9 years of QA engineering experience, including at least 2+ years building and maintaining test automation frameworks (Selenium, Playwright, Cypress, or equivalent)

Hands-on experience using AI-assisted testing or development tools (e.g., GitHub Copilot, Cursor, AI test-generation platforms) in a production QA workflow

Experience with API testing (Postman, REST Assured, or similar) and CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI)

Comfortable owning full QA cycles beyond automation — test planning, defect management, exploratory testing, release sign-off

Familiarity with AI-assisted code review and automated testing/quality tools

Comfort using AI-enabled project management tools (e.g., Jira AI, Asana Intelligence) for sprint tracking and status reporting

Able to work onsite in Newark, CA

Preferred

QA experience in automotive, embedded systems, or another hardware-adjacent software environment

Experience with performance and load testing tools