Senior QA Automation Engineer

Pay Range: $75 - $85/hr. The pay rate may differ depending on your skills, education, experience, and other qualifications.

Featured Benefits:

·          Medical Insurance in compliance with the ACA.

·          401(k).

·          Sick leave in compliance with applicable state, federal, and local laws.

In this role, you will:

• Own application quality and release readiness for the Create domain, ensuring features meet agreed quality standards before deployment to content authors and program teams.
• Design, develop, and maintain comprehensive test plans, test cases, and scalable automated test suites across back-end services, front-end applications, and supporting infrastructure.
• Design and implement automated testing frameworks for content authoring tools and the workflows that move items and assessments through review, approval, and publication.
• Write modular, maintainable, refactor-safe test suites with the same rigor as application code.
• Integrate automated testing into CI/CD pipelines and maintain them as a core part of the delivery process.
• Conduct functional, regression, and security testing; partner with platform and performance engineers on load and performance testing as needed.
• Collaborate with product managers, designers, and developers to review requirements, ensure testability, and translate business needs into comprehensive test scenarios.
• Lead defect analysis and drive systemic quality improvements; define quality metrics and observability practices.
• Champion adherence to Accessibility Compliance Office guidance, engineering best practices, and accessibility standards across the team’s deliverables.
• Mentor engineers on left-shifting testing, shared responsibility for quality and reliability, and active consideration of product and user requirements.
• Act as a subject-matter expert for the engineering team on leveraging Claude Code to improve, scale, and ensure the quality of AI-generated tests and supporting code.
• Identify, recommend, and implement tools and practices that enhance testing efficiency.
• Support production issue resolution by troubleshooting and partnering with engineering teams to implement fixes.

About you, you have:

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or an analytical field (or equivalent experience).
• 7+ years of professional experience in software quality assurance, test automation, or quality engineering.
• Strong expertise in test automation frameworks and hands-on experience building scalable automated test suites.
• Proficiency with TypeScript, Node.js, and Playwright.
• Comfortable testing systems built on AWS (Lambda, S3, DynamoDB, CloudWatch); exposure to event-driven services like Step Functions / SNS / SQS a plus.
• Experience integrating automated testing into CI/CD pipelines.
• Experience creating QA strategy, identifying comprehensive test scenarios from business requirements, and building complex test data that covers edge cases.
• Experience owning features across the full software lifecycle and influencing system design and technical decisions across multiple teams.
• Experience participating in code review and giving feedback on both application and test PRs.
• Comfortable reading application source code to design targeted tests rather than relying solely on UI/black-box coverage.

Experience:

• Strong understanding of Agile methodology and willingness to work in a DevOps environment.
• A natural curiosity about the product — the kind of engineer who actively builds an understanding of business needs and find bugs before product or end users do.
• Sharp prioritization instincts: ability to weigh downstream impact, scale, and risk when deciding which quality issues to focus on.
• Excellent communication and collaboration skills across technical and business teams; able to mentor peers and work effectively with a diverse set of colleagues.
• Proactive, with a strong sense of ownership; comfortable analyzing, planning, and owning vaguely defined problems with little supervision.

Additional nice-to-have qualifications:

• Experience applying AI-driven test automation or predictive analytics for defect detection.
• Experience using Claude Code or similar AI coding tools in a production engineering workflow.
• Performance testing experience.