Lead Automation Test Engineer - Java With Playwright
Talentmate
India
4th September 2026
2609-2598-484
Job Description
We are seeking a Lead Automation Test Engineer with strong expertise in Java-based test automation frameworks, API testing, and CI/CD integration. The ideal candidate will design scalable automation solutions, drive quality engineering practices, and mentor teams to accelerate software testing and delivery.
Responsibilities
Design, develop, enhance, and maintain scalable test automation frameworks using Java
Build robust automation solutions using Selenium
Lead framework architecture decisions focused on scalability, maintainability, and reusability
Implement parallel execution strategies and optimize execution times across browsers and platforms
Develop reusable libraries, utilities, and framework extensions
Design and implement API automation solutions for REST and SOAP services
Validate XML and JSON payloads through serialization and deserialization techniques
Handle session management and API integration testing
Conduct code reviews and enforce clean coding standards
Establish and govern coding standards, branching strategies, and version control best practices
Integrate automation suites with CI/CD pipelines using Jenkins and GitHub Actions
Configure static code analysis and quality gates, and publish automation reports and dashboards for stakeholders
Requirements
9 to 14 years of experience in IT
Expertise in Java, Object-Oriented Programming principles (Classes and Objects, Inheritance, Polymorphism, Encapsulation, Abstraction)
Proficiency in Selenium, API test automation, and CI/CD integration
Knowledge of authentication and authorization mechanisms including Basic Authentication, Bearer Tokens, OAuth, and NTLM
Familiarity with software design patterns including Singleton, Factory, Decorator, Page Object Model (POM), and Page Factory
Competency in Jenkins and GitHub Actions for CI/CD pipeline integration
Background in generating and utilizing embeddings for semantic search applications
Understanding of similarity search and retrieval mechanisms
Nice to have
Understanding of Transformer Architecture, Attention Mechanisms, and Transformer-based model architectures
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