QA Automation engineer

QA Automation engineer

Location: Memphis, TN

Duration: 12+ Months

Technical & Automation Responsibilities :

• Hands-on experience in Spring Boot based automation framework built on Selenium, Cucumber, REST Assured, and Java, covering Web UI, Mobile, and API test automation, ensuring high scalability, maintainability, robust architecture, and adherence to industry best practices
• Actively involve in enhancements and modernization of the framework, including reusable component design, optimized execution, and stronger reporting.
• Drive integration of automation suites into GitLab CI/CD pipelines, ensuring reliable, efficient, and automated build-test-deploy cycles across QA and Staging environments
• Leverage AI/ML-powered tools (such as Claude or other code-generation models) by integrating them into test-automation workflows to improve test coverage, script generation, defect prediction, and execution efficiency
• Guide the team to use Claude Code responsibly and effectively to auto-generate test scripts from user stories; define quality gates to ensure AI-generated scripts meet business requirements.
• Apply generative AI and LLM-based solutions to engineering workflows to boost productivity and automation maturity.
• Continuously evaluate emerging technologies across AI, Automation to enhance test coverage, execution speed, and engineering efficiency.
• Work with cloud platforms such as Google Cloud Platform, AWS, or Azure to support scalable and modern test infrastructure.
• Work with cloud-hosted databases, especially Google Alloy DB, for validating WMS (Warehouse Management System) application workflows, supporting for automation and test data management needs
• Validating event-driven workflows using Google Pub/Sub, including message publishing, subscription handling, and end-to-end integration validation

Mandatory skills :-

• Hands-on testing of Warehouse Management applications and its integrations with other warehouse systems
• Experience in testing of applications built on Microservices architecture

Preferred skills :-

• Prior hands-on experience in Java-based development, including designing and maintaining enterprise applications built on microservices architecture

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
• 9-11 years of experience in software development, automation, and engineering leadership.
• Strong hands-on expertise in Java development, OOP concepts, and design patterns.
• Experience with automation frameworks such as Selenium, Java, TestNG, Cucumber BDD, JUnit, or similar.
• Proven experience integrating AI/ML tools or models into QA or automation workflows (e.g., intelligent test generation, predictive quality analytics, AI code assistants).
• Solid knowledge of DevOps tools and CI/CD pipelines (Jenkins, GitLab, Azure DevOps, etc.).
• Excellent communication, stakeholder management, and leadership skills.