We are hiring a Lead Automation Test Engineer to drive Java automation framework design, API testing depth, and CI/CD integration for dependable delivery. You will own architecture decisions, improve cross-browser execution with parallelism, and mentor quality practices—apply now

Responsibilities

Design, enhance, and maintain scalable Java-based test automation frameworks
Implement dependable automation solutions using Selenium
Guide framework architecture decisions with a focus on scalability, maintainability, and reusability
Optimize execution time by introducing parallel execution across browsers and platforms
Create reusable libraries, utilities, and framework extensions for broader adoption
Develop and implement API automation coverage for REST and SOAP services
Verify XML and JSON payloads via serialization and deserialization techniques
Manage sessions and execute API integration testing end to end
Perform code reviews and uphold clean coding standards
Define and govern coding standards, branching strategies, and version control practices
Automate execution through CI/CD integration using Jenkins and GitHub Actions
Set up static code analysis and quality gates, and publish automation reports and dashboards for stakeholders

Requirements

Significant IT experience, typically in the 9–14 years range
Advanced Java expertise and strong command of Object-Oriented Programming concepts (Classes and Objects, Inheritance, Polymorphism, Encapsulation, Abstraction)
Demonstrated proficiency in Selenium, API test automation, and CI/CD integration
Clear understanding of authentication and authorization mechanisms including Basic Authentication, Bearer Tokens, OAuth, and NTLM
Strong knowledge of design patterns such as Singleton, Factory, Decorator, Page Object Model (POM), and Page Factory
Hands-on competency with Jenkins and GitHub Actions for CI/CD pipeline integration
Background in creating and applying embeddings to support semantic search applications
Understanding of similarity search and retrieval mechanisms

Nice to have

Understanding of Transformer Architecture, Attention Mechanisms, and Transformer-based model architectures