Overview

Lead automation initiatives and develop ML pipelines.

Responsibilities

• Lead all automation initiatives for the Analytics team.
• Drive key automation KPIs:
• 100% automation coverage
• 100% execution rate with 100% pass rate
• Reduce execution time to ≤3 hours
• Achieve 80% code coverage via automation tests
• Guide, mentor, and review test automation engineers to ensure adherence to best practices and coding standards.
• Self-healing locators
• Autonomous test execution
• Intelligent retry and Recovery
• Support multi-turn test scenarios and dynamic test flows

Qualifications

• Exposure to AI-driven testing tools
• Design and build scalable, extensible test automation frameworks.
• Support parameterized test case creation and multi‑environment test execution.
• Research, evaluate, and recommend new tools and technologies to address testing challenges.
• Develop and maintain scripts to support testing tasks.
• Plan, coordinate, and manage all automated testing activities.
• Develop, execute, and maintain test plans, scripts, and test cases.
• Analyze test results, identify defects, and recommend corrective actions.
• Maintain documentation of test execution and results.
• Provide regular test status updates and manage stakeholder expectations.
• Create and maintain traceability matrices to ensure comprehensive requirement coverage.
• Drive automated regression, performance, load, and scalability testing.
• Ensure product quality across frontend, backend, data pipelines, and integrations.
• Collaborate closely with development teams in Agile/Scrum environments.
• 8+ years of QA experience testing Java/J2EE and web‑based applications.
• Strong automation background with Selenium, TestNG, JUnit, and other open‑source tools.
• Understanding of PySpark and Databricks(optional).
• Strong programming experience in Java or another OOP language.
• Proficiency with QA tools such as JIRA, test management systems, CI/CD systems.
• Good understanding of HTTP, SSL, HTML, XML, CSS, JavaScript, SQL, and debugging techniques.
• Bachelor’s or Master’s degree in Computer Science or equivalent.
• Strong problem‑solving, analytical, and debugging skills.
• Ability to understand new technologies quickly.
• High attention to detail, reliability, and ownership mindset.
• Ability to work independently and collaboratively across teams.
• Strong communication skills—written and verbal.
• Excellent organizational and time‑management abilities.
• Ability to work in environments with limited standardization and evolving requirements.
• QA Automation Lead
• QA Automation

Nice to have

• Cloud Certifications
• Experience in Apache frameworks

Education

• BE/B.Tech/MBA/MCA
• Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering
• Degrees/Field of Study preferred:
• Certifications (if blank, certifications not specified)

Benefits

• Equal employment opportunities
• Inclusive workplace