QA Automation Engineer

BJAK is building AI-powered workflow systems for quotes, policy issuance, endorsements, claims, payments and customer follow-ups. These flows have many steps, edge cases and failure points.

We are looking for a QA Automation Engineer who can help us test these systems properly and improve release confidence.

The Mission

Build automated testing coverage for BJAK’s AI workflow and insurance automation systems.

What You’ll Own

• Build and maintain automated tests for web, API and workflow systems.

• Test quote, policy issuance, endorsement, claims and payment flows.

• Improve regression testing and release checks.

• Work with engineers and product teams to catch issues earlier.

• Track bugs clearly and help identify root causes.

• Support manual testing where automation is not ready.

• Improve QA standards, documentation and release confidence.

What We’re Looking For

• Experience in QA automation, software testing or test engineering.

• Able to build practical automated tests for real product flows.

• Good understanding of web, API and regression testing.

• Strong attention to detail and ability to spot edge cases.

• Clear communication when reporting bugs and risks.

• Comfortable working with engineers, product and operations.

• Low ego, high ownership and strong follow-through.

The Kind of Builder We Want

• Careful, disciplined and consistent.

• Thinks like both a user and system tester.

• Calm when releases are urgent.

• Good at finding patterns behind repeated bugs.

• Serious about making products more reliable.

This Role Is Not For

• People who only do checklist testing.

• People who report bugs unclearly.

• People who avoid automation.

• People who miss obvious edge cases.

• People who blame engineers instead of improving quality.

Success Looks Like

• Automated coverage improves for key workflows.

• Repeated bugs reduce.

• Releases become smoother.

• Critical flows are tested more consistently.

• Product teams trust QA feedback.

Interview Process

We assess candidates based on culture fit, working style, and QA automation judgment. The process begins with an application review, followed by three rounds of interviews, including a practical QA or test automation task.