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Lead Automation Test Engineer - Java with Playwright

Office in India: Pune, & 4 others
Automated Testing in Java& 5 others
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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