dreamwork_

We are looking for a Lead Java Automation Test Engineer to shape scalable Java automation frameworks, API testing, and CI/CD integration across releases. You will guide quality engineering practices, define framework direction, and help teams deliver faster with reliable automation; apply now.

Responsibilities

  • Design and maintain scalable Java-based test automation frameworks
  • Build resilient UI automation solutions with Selenium
  • Lead architecture choices for the framework with a focus on scalability, maintainability, and reusability
  • Implement parallel run approaches and reduce execution time across browsers and platforms
  • Develop reusable libraries, utilities, and extensions to strengthen the framework
  • Design and deliver API automation coverage for REST and SOAP services
  • Validate XML and JSON payloads using serialization and deserialization techniques
  • Manage session handling and execute API integration testing
  • Perform code reviews and uphold clean coding standards
  • Establish coding standards, branching strategies, and version control best practices
  • Integrate automation suites into CI/CD pipelines using Jenkins and GitHub Actions
  • Publish automation reports and dashboards for stakeholders

Requirements

  • Extensive IT experience of 9–14 years in software and testing environments
  • Strong knowledge of Object-Oriented Programming concepts such as classes and objects, inheritance, polymorphism, encapsulation, and abstraction
  • Deep expertise with API authentication and authorization approaches including Basic Authentication, Bearer Tokens, OAuth, and NTLM
  • Proven command of software design patterns such as Singleton, Factory, Decorator, Page Object Model, and Page Factory
  • Hands-on familiarity with static code analysis practices and quality gates configuration
  • Solid background in generating and using embeddings for semantic search applications
  • Clear understanding of similarity search methods and retrieval mechanisms

Nice to have

  • Familiarity with Attention Mechanisms and Transformer-based model architectures
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Posted yesterday