QA Engineer: Mission-Critical Testing & AI-Driven Validation

American Society for Quality; Denver, Northern (CO, KY); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Unlimited PTO

Health insurance

401(k) with matching

4-day company offsite

Work-life balance

Job summary

Quindar is seeking a QA Engineer to own functional, integration, and exploratory testing for new features and evolving product workflows. You will craft test plans, execute tests, and regress coverage while collaborating with product managers and engineers to ensure robust software before release.

You will test mission‑critical workflows, APIs, and backend processes, using logs and developer tools to investigate issues. AI-assisted tooling helps accelerate validation without losing judgment.

Qualifications

• 2+ years in software quality assurance.
• Experience testing complex production software systems.
• Active U.S. Security Clearance preferred but not required.

Responsibilities

• Own functional, integration, and exploratory testing for new features and evolving product workflows.
• Develop and maintain test plans, test cases, and regression suites.
• Test mission‑critical workflows and APIs with backend validation.
• Identify, reproduce, and track defects through resolution.
• Collaborate with product and engineering to shape testing approaches.
• Use logs and browser tools to investigate unexpected behavior.
• Apply AI-assisted tools to improve testing depth and efficiency.

Skills

Manual testing

Test planning

Regression testing

Integration testing

Testing web applications

REST APIs testing

Git

Postman

Insomnia

cURL

Tools

Rally

Zephyr

TestRail

Xray

Job description

Quindar is seeking a QA Engineer to own functional, integration, and exploratory testing for new features and evolving product workflows. You will craft test plans, execute tests, and regress coverage while collaborating with product managers and engineers to ensure robust software before release.

You will test mission‑critical workflows, APIs, and backend processes, using logs and developer tools to investigate issues. AI-assisted tooling helps accelerate validation without losing judgment.