Automation QA Engineer, AI-Driven Testing (Remote)

SmartLight Analytics; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

SmartLight Analytics seeks an automation-first QA Engineer to design, build, and own a test framework across internal tools, carrier-facing APIs, and customer portals. This is a hands-on role focused on automation, not pure manual testing.

You will develop and maintain Playwright-based regression suites, integrate tests into CI/CD, and explore AI-enabled tooling to speed up test authoring while preserving clear human review. This is a remote US position.

Qualifications

• Hands-on experience building automated test suites with Playwright or a comparable modern framework.
• Experience testing both UI and API layers and reasoning about API contracts and data flows for integration testing.
• Experience integrating automated tests into a CI/CD pipeline.
• Practical experience using AI tooling to accelerate software testing work with good judgment about where AI output needs verification.
• Strong defect isolation and reproduction skills; writes bug reports engineers can act on without back-and-forth.
• Sound risk judgment - can distinguish a cosmetic issue from one that threatens data integrity, compliance posture, or customer/carrier trust.
• Comfortable being a release gatekeeper: can say "this isn't ready" and back it up with evidence.
• Self-directed and comfortable building and improving automation process independently.

Responsibilities

• Design, build, and maintain automated regression suites (Playwright or equivalent) covering internal tools, API and portals.
• Integrate automated tests into CI/CD so they run on every relevant change without manual triggering.
• Evaluate and apply AI-enabled testing tools to speed up authoring and maintenance while keeping a clear standard for human review.
• Act as the release quality gate for the toolsets you own: sign off on releases based on automated test results or document risk if not ready.
• Find, isolate, and document defects with reproducible steps, expected vs. actual behavior, and severity.
• Prioritize test coverage by risk—carrier- and customer-facing paths, compliance-relevant flows, and high-usage features.
• Partner with Software Engineering and Product throughout the development cycle so testing isn’t a bottleneck.
• Build and document repeatable QA practice—test architecture, coverage standards, release-gate criteria.
• Produce testing and change-management artifacts that hold up under compliance frameworks like SOC 2.

Job description

SmartLight Analytics seeks an automation-first QA Engineer to design, build, and own a test framework across internal tools, carrier-facing APIs, and customer portals. This is a hands-on role focused on automation, not pure manual testing.

You will develop and maintain Playwright-based regression suites, integrate tests into CI/CD, and explore AI-enabled tooling to speed up test authoring while preserving clear human review. This is a remote US position.