Chief Test Automation Engineer - Java

We are seeking a Chief Test Automation Engineer specializing 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.

Responsibilities

• Drive test automation to ensure repeatable tests are automated and reduce test cycle time
• Participate in scrum teams to define and refine unit, integration, and performance testing
• Create, execute, and maintain scripts and tools for various testing frameworks
• Implement, collect, analyze, and report team and project metrics demonstrating business value
• Design large-scale test automation solutions with detailed technical specifications
• Collaborate with business teams to identify and understand project requirements
• Design maintainable, extensible, and modular test automation solutions following industry best practices
• Create and maintain test automation frameworks and shared formats for use across projects
• Define and implement comprehensive test automation strategies including roadmap, tools, and frameworks
• Develop and maintain documentation for automation processes, workflows, and configurations
• Evaluate and select appropriate test automation tools for different purposes

Requirements

• Extensive experience with Java programming and test automation for over 12 years
• Proven leadership in driving test automation initiatives at a senior level
• Strong expertise in UI automation and Web Service/API testing
• Deep knowledge of design patterns and clean coding principles such as SOLID
• Proficiency with test automation frameworks and continuous integration/continuous deployment (CI/CD) pipelines
• Experience in defining and implementing testing strategies and quality gates
• Ability to analyze and report test metrics effectively

Nice to have

• Experience with AI implementation including GenAI tools, large language models (LLMs), retrieval-augmented generation (RAG), agents, and multi-cloud platforms (MCPs)