QA Engineer

KEY RESPONSIBILITIES Test Automation Design, develop, and maintain robust automated test frameworks for web and application testing. Create reusable, scalable, and maintainable automation components. Develop automated regression, smoke, functional, integration, and end-to-end test suites. Analyze automation results, troubleshoot failures, and identify application defects versus test/environment issues. Integrate automated tests into CI/CD pipelines and support continuous testing. Continuously improve automation coverage, reliability, execution time, and maintainability. API Testing Design and execute automated and manual API tests for RESTful and/or SOAP services. Validate API functionality, data integrity, error handling, authentication, and response performance. Develop reusable API automation frameworks and integrate API tests into CI/CD pipelines. Collaborate with developers to identify API-level defects early in the development lifecycle. Performance Testing Support performance, load, stress, and scalability testing activities. Develop and execute performance test scenarios based on business and technical requirements. Analyze performance results and identify bottlenecks across application, API, database, and infrastructure layers. Partner with development and engineering teams to investigate and resolve performance issues. Experience with tools such as JMeter, LoadRunner, Gatling, k6, or similar performance-testing tools is preferred. Shift-Left Quality Engineering Promote a shift-left testing approach by incorporating testing earlier in the SDLC. Collaborate with developers, product managers, architects, and DevOps teams to identify quality risks early. Participate in requirements, design, and code-review discussions to improve testability and prevent defects. Establish appropriate levels of unit, API, integration, and UI testing within the overall quality strategy. Help identify opportunities to move testing from later-stage validation toward continuous testing. AI-Assisted Testing & Engineering Explore and apply AI-powered tools and techniques to improve software testing and engineering productivity. Use AI to accelerate test-case generation, automation development, test-data creation, defect analysis, root-cause analysis, and test maintenance. Evaluate emerging AI testing capabilities and identify opportunities to improve automation efficiency and coverage. Experience using AI coding assistants such as Claude Code, GitHub Copilot, or similar tools is a plus. Experience with AI-native testing platforms is highly desirable. Test Management – Zephyr Create and maintain test plans, test cycles, test cases, and test executions using Zephyr. Maintain traceability between requirements, test cases, defects, and releases. Support test planning and execution for major releases and production deployments. Ensure test cases are well documented, reusable, and aligned with business and technical requirements. Provide testing status, coverage, execution results, and quality metrics to stakeholders. Functionize / AI-Based Test Automation Experience with Functionize is a major plus. Develop and maintain automated tests using Functionize’s AI-powered testing capabilities. Help evaluate and expand the use of AI-based test automation across applications. Contribute to reducing automation maintenance overhead through intelligent test automation approaches. REQUIRED SKILLS & QUALIFICATIONS Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience. 4+ years of experience in software quality assurance/test automation. Strong hands-on experience developing and maintaining automated test frameworks. Proficiency in at least one programming language such as Java, Python, JavaScript, or TypeScript. Experience with web application automation tools such as Playwright, Selenium, Cypress, or similar. Strong experience with API testing and automation, including REST APIs, JSON, HTTP methods, authentication, and API validation. Experience with CI/CD pipelines, continuous testing, and integrating automated tests into CI/CD workflows. Experience with Git and source-control practices. Experience with test management tools, preferably Zephyr. Strong understanding of software testing methodologies, test design techniques, and defect lifecycle. Ability to troubleshoot complex automation failures and analyze test results. Experience with Functionize is a major plus. Experience with Claude Code or other AI coding assistants; hands-on experience with AI-assisted software testing is a plus. Experience implementing shift-left testing practices. Performance testing experience using JMeter, LoadRunner, Gatling, k6, or equivalent. Experience with cloud platforms such as AWS, Azure, or GCP. Experience with SQL and database validation. Experience working in Agile/Scrum environments. Experience testing microservices and distributed systems. Experience with containerized environments such as Docker/Kubernetes. Exostar is an Equal Employment Employer. The company provides equal employment opportunity to all applicants without regard to race, color, religion, sex, national origin, age, marital status, disability status or genetic information. Exostar is committed in providing equal employment opportunity for all person in all facets of employment including recruiting, hiring, compensation, promotion, training, benefits, transfers and working conditions.