Senior QA Automation Engineer

Accylerate is seeking a Senior QA Automation Engineer responsible for providing advanced testing strategies and scalable automation frameworks for a modern, AWS-based platform. The role involves analyzing complex feature requirements, automating testing processes, and collaborating with cross-functional teams to improve the reliability and efficiency of assessment tools.

Responsibilities:

• 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

Requirements:

• 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
• 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
• 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