Spatial Alphabet - Quality Assurance Engineer - Automation Testing

: QE Automation Engineer (UI & API Automation): TypeScript | Playwright | AI-Assisted Quality Engineering Role Overview: We are looking for a QE Automation Engineer to strengthen product quality across the testing lifecycle. The role focuses on AI-assisted test analysis and design, automated UI and API testing using TypeScript and Playwright, exploratory testing, defect management, and reliable quality validation within Agile sprints and release workflows. Key Responsibilities: - Analyze stories, acceptance criteria, and specifications using AI-assisted tooling to identify test scenarios, coverage gaps, and risks before development begins. - Design and author test cases with AI-assisted support, aligned with sprint deliverables and release scope. - Build and maintain automated UI and API test coverage in TypeScript and Playwright within each sprint, using AI-assisted workflows for test design, code authoring, and suite maintenance; apply hands-on exploratory testing where it adds coverage that automation alone cannot provide. - Report, track, and verify defects through resolution, coordinating with developers and product teams on priority and impact. - Keep test case management and automation results in sync, ensuring automated coverage reflects test design and that results accurately represent CI state. - Participate in sprint ceremonies as the QE voice for your team. - Contribute to release sign-off activities, including stage verification, Allure results review, and release readiness confirmation. - Participate in code reviews for automation contributions and contribute reusable components to the shared framework. - Monitor automation health and defect trends using AI-powered analysis and raise quality concerns proactively. Required Technical Skills: - Solid experience covering the full testing lifecycle: requirements analysis, test design, manual and exploratory testing, defect management, and test automation. - Proficiency in TypeScript and hands-on experience with Playwright for UI and API test automation. - Experience with test case management platforms such as TestRail or equivalent. - Familiarity with test reporting platforms such as Allure or equivalent. - Experience working in an AI-assisted development environment such as Cursor, GitHub Copilot, or equivalent. - Understanding of AI agent concepts and their practical application across the testing lifecycle. - Experience working within CI/CD pipelines and version control systems such as Git. - Experience in Agile delivery (Scrum or equivalent) as a QE team member. - Strong analytical and problem-solving skills, with the ability to define what needs testing, not just execute what is assigned. - Strong collaboration and communication skills across developers, product, and delivery. AI & Emerging QE Capabilities: - Use AI-assisted tooling to support test scenario identification, test design, automation code authoring, and suite maintenance. - Understand AI agent concepts and how they can be applied across the testing lifecycle. Good to Have: - Familiarity with cloud-based cross-browser testing platforms such as LambdaTest or equivalent. - Familiarity with cloud secrets management and infrastructure access, such as AWS Secrets Manager or equivalent. - Exposure to enterprise SaaS platforms such as ERP, CRM, CMS, or LMS systems in a QE context. - Experience with API testing tools such as Postman or equivalent. - Familiarity with performance or accessibility testing approaches. - Exposure to DevOps practices and automation pipelines. - Understanding of modern software architecture patterns such as microservices, REST, and GraphQL. What Success Looks Like: - Identify meaningful test scenarios, coverage gaps, and quality risks early in the development lifecycle. - Maintain automated UI and API coverage aligned with sprint scope and test design. - Keep test management records, automation results, and CI status consistent. - Support release readiness through stage verification and review of Allure results. - Improve automation health and proactively communicate defect trends and quality concerns.