Chief Test Automation Engineer - Java

[Applicants: Be among the first 25 applicants | Industry: Software Development and IT Services and IT Consulting | Type: Full-time | Level: Mid-Senior level] We are seeking aChief Test Automation Engineerspecializing in Java to lead our software test automation efforts.In this role, you will drive automation strategies, design scalable frameworks, and collaborate closely with scrum and business teams to enhance testing processes. Join us to innovate and elevate our test automation capabilities.ResponsibilitiesDrive test automation to ensure repeatable tests are automated and reduce test cycle timeParticipate in scrum teams to define and refine unit, integration, and performance testingCreate, execute, and maintain scripts and tools for various testing frameworksImplement, collect, analyze, and report team and project metrics demonstrating business valueDesign large-scale test automation solutions with detailed technical specificationsCollaborate with business teams to identify and understand project requirementsDesign maintainable, extensible, and modular test automation solutions following industry best practicesCreate and maintain test automation frameworks and shared formats for use across projectsDefine and implement comprehensive test automation strategies including roadmap, tools, and frameworksDevelop and maintain documentation for automation processes, workflows, and configurationsEvaluate and select appropriate test automation tools for different purposesRequirementsExtensive experience with Java programming and test automation for over 12 yearsProven leadership in driving test automation initiatives at a senior levelStrong expertise in UI automation and Web Service/API testingDeep knowledge of design patterns and clean coding principles such as SOLIDProficiency with test automation frameworks and continuous integration/continuous deployment (CI/CD) pipelinesExperience in defining and implementing testing strategies and quality gatesAbility to analyze and report test metrics effectivelyNice to haveExperience with AI implementation including GenAI tools, large language models (LLMs), retrieval-augmented generation (RAG), agents, and multi-cloud platforms (MCPs)