Job Description
We are seeking a highly motivated and experienced Test Coordinator & Quality Assurance Specialist to join our team, focusing on AI and Automation projects within the HR IT domain. This pivotal role will be responsible for orchestrating testing efforts, ensuring the quality and reliability of our innovative solutions, and driving continuous improvement in our QA processes. You will play a critical part in delivering robust and effective AI and automation capabilities that enhance the employee experience across our internal stakeholders. While direct experience with AI and Automation testing is preferred, we also welcome candidates with a strong background in software testing, a solid understanding of HRIT systems, and a keen eagerness to learn and adapt to cutting-edge technologies.
This position offers a unique opportunity to contribute to high-impact projects within the evolving HRIT landscape, collaborating with cross-functional teams to shape the future of digital employee experience through AI and automation.
Responsibilities
路 Test Strategy & Planning: Develop and execute comprehensive test strategies, plans, and schedules for AI and Automation projects within the HRIT domain, aligning with project goals and timelines.
路 Test Case Design & Execution: Design, develop, and execute detailed test cases, scenarios, and scripts for various types of testing, including functional, integration, regression, performance, and user acceptance testing (UAT).
路 Defect Management: Identify, log, track, and prioritize defects, working closely with development and product teams to ensure timely resolution and retesting.
路 Test Environment Management: Coordinate and manage test data environments, including test data creation, refresh, and maintenance, ensuring appropriate test coverage and realistic scenarios.
路 Automation Testing: Support and contribute to the development and maintenance of automated test scripts and frameworks for AI and Automation solutions, aiming for increased efficiency and coverage.
路 Quality Assurance Best Practices: Drive the implementation of QA best practices and continuous improvement initiatives within the testing lifecycle, including process optimization and tool evaluation.
路 Reporting & Analytics: Generate clear and concise test reports, progress updates, and defect metrics, providing actionable insights to project stakeholders.
路 Collaboration & Communication: Collaborate effectively with AI/ML engineers, developers, HRIT domain experts, product owners, and business users to understand requirements, define test scope, and ensure high-quality deliverables.
路 Ad-Hoc Support: Assist with ad-hoc testing activities, research into new testing methodologies for AI/ML, and new work packages as required.