We are looking for a Senior Automation Tester with strong expertise in test automation, quality engineering, and AI\-enabled testing practices. This role focuses on building scalable automation frameworks, leveraging AI\-powered testing tools, improving testing efficiency through automation, and driving the adoption of AI\-assisted quality engineering practices across projects.
The position requires hands\-on experience in automation framework development, automated test execution, CI/CD integration, deployment validation, AI\-powered testing tools, and modern quality engineering practices. Strong communication skills and the ability to promote testing standards and AI adoption across multiple teams are essential.
\* Design, develop, and maintain reusable automation frameworks and automation scripts for web, mobile, API, and integration testing.
\* Write, review, optimize, and maintain automation test scripts using modern automation tools and frameworks.
\* Drive adoption of AI\-assisted testing practices across projects and engineering teams.
\* Utilize AI\-powered testing tools and assistants to improve test coverage, test design, defect detection, root cause analysis, and reporting.
\* Leverage AI tools to accelerate test case generation, automation development, test maintenance, defect analysis, and quality engineering workflows.
\* Define and implement best practices for AI\-enabled testing and quality assurance.
\* Evaluate emerging AI testing tools and recommend adoption strategies across projects.
\* Develop and execute functional, integration, regression, end\-to\-end, API, and mobile automation test suites.
\* Integrate automated testing into CI/CD pipelines and deployment workflows.
\* Implement automated quality gates within build and release pipelines.
\* Support deployment validation, smoke testing, regression testing, and release certification processes.
\* Contribute to test environment automation and test data management strategies.
\* Collaborate with developers, product teams, DevOps engineers, and QA teams to improve software quality and testability.
\* Contribute to quality engineering standards, automation frameworks, and reusable testing assets.
\* Mentor QA engineers and support teams in adopting AI\-powered testing approaches.
\* Communicate testing strategies, findings, recommendations, and AI adoption initiatives effectively to technical and non\-technical stakeholders.
\* 3–6 years of hands\-on experience in automation testing and quality engineering.
\* Strong experience in web, mobile, API, and integration test automation.
\* Strong hands\-on experience in automation script development using frameworks such as Playwright, Selenium, Cypress, Appium, or similar technologies.
\* Experience designing, developing, and maintaining scalable automation frameworks.
\* Strong understanding of software testing methodologies, test design techniques, and quality assurance best practices.
\* Hands\-on experience with AI\-powered testing tools, AI assistants, and AI\-enabled quality engineering workflows.
\* Strong awareness of emerging AI technologies, AI agents, and AI\-assisted testing practices.
\* Experience using AI tools to improve test automation development, test generation, defect analysis, documentation, and testing productivity.
\* Experience implementing automation testing within CI/CD pipelines and deployment workflows.
\* Strong understanding of release validation, deployment testing, smoke testing, and quality gates.
\* Experience with build and deployment tools such as Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or similar platforms.
\* Good understanding of DevOps concepts, automated software delivery practices, and deployment automation.
\* Strong understanding of API testing, test data management, and integration testing.
\* Experience with defect tracking and test management tools.
\* Strong understanding of Git and collaborative development workflows.
\* Ability to evaluate, adopt, and promote new AI testing tools and engineering practices.
\* Excellent communication, presentation, collaboration, and stakeholder management skills.Strong analytical, troubleshooting, and problem\-solving abilities.
Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent practical industry experience
Pay: ₹1,000,000\.00 \- ₹1,800,000\.00 per year
Work Location: In person
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