183 jobs for "Lead Software Engineer - Java & AI"

Prepare test plans, test strategies, test scenarios, and test cases based on business requirements.
Develop, execute, and maintain manual and automated test suites.
Design and maintain UI automation frameworks using Playwright with TypeScript/Java.
Build and maintain REST Assured-based API automation frameworks.
Leverage AI coding assistants (GitHub Copilot, Microsoft Copilot, ChatGPT, Cursor, Claude, or similar tools) to improve productivity and automate test development.
Implement and utilize Agentic AI workflows for intelligent test generation, test maintenance, self-healing locators, and automated test execution.
Perform Functional, Regression, Integration, End-to-End, API, and Performance Testing.
Execute load and performance testing using JMeter.
Identify, document, prioritize, and track defects through closure.
Collaborate with developers, product owners, and QA teams to ensure high-quality releases.

Required Skills

4-7 years of experience in Software Testing.
Strong experience in Test Planning, Test Strategy, Test Case Writing, and Test Execution.
Hands-on experience in Manual Testing, Bug Reporting, and Defect Management.
Strong experience with Playwright Automation using TypeScript.
Experience with Agentic AI workflows for test automation and AI-assisted software testing.
Proficiency in using GitHub Copilot, Microsoft Copilot, ChatGPT, Cursor, or similar AI coding tools for automation development and productivity enhancement.
Strong proficiency in Java.
Experience in REST API Testing and API Automation using REST Assured Framework.
Hands-on experience with TestNG and Maven.
Knowledge of JMeter and Performance Testing concepts (Load, Stress, Volume, and Scalability Testing).
Experience with Git and CI/CD tools (Jenkins preferred).
Strong analytical, debugging, communication, and problem-solving skills.

Preferred Skills

Experience working in Agile/Scrum environments.
Knowledge of SQL and database validation.
Exposure to Allure/Extent Reports and test reporting frameworks.
Understanding AI-driven test generation, self-healing automation frameworks, and intelligent test analytics.

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