Principal Engineer - IT Quality & Assurance Testing

Company: Marsh Description: We are seeking a talented individual to join our MMA team at Marsh. This role will be based in Pune/Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. As a QA Lead Engineer at Marsh McLennan Agency (MMA), you will be instrumental in driving the quality assurance efforts within our application development team. You will lead a team of QA Testers, ensuring that testing processes are effectively implemented and adhered to throughout the software development lifecycle. Your responsibilities will include developing and executing test plans, managing testing activities, and collaborating with cross-functional teams to identify and resolve quality issues. You will also be responsible for mentoring team members, fostering a culture of quality, and ensuring that best practices are followed. Additionally, you will prepare detailed reports on testing progress, quality metrics, and potential risks, providing stakeholders with clear visibility into the QA process. We will count on you to: • Establish and execute a comprehensive quality assurance strategy that aligns with the organization's objectives and product roadmap, prioritizing quality from the outset. • Lead, mentor, and manage a team of QA Testers, fostering a culture of quality, collaboration, and continuous improvement within the team. • Oversee the creation and execution of detailed test plans, test cases, and test scripts to ensure thorough testing of applications across various platforms, identifying any gaps in coverage. • Collaborate closely with development, product management, and other stakeholders to integrate quality assurance practices throughout the software development lifecycle, ensuring alignment on quality expectations. • Establish and maintain processes for defect tracking, management, and resolution, ensuring that issues are identified, documented, and addressed promptly to minimize impact on project timelines. • Evaluate, select, and implement appropriate testing tools and technologies that enhance the efficiency and effectiveness of the QA process, keeping the team equipped with the best resources. • Drive the adoption and integration of AI-powered testing tools and techniques to improve test coverage, defect prediction, and test case optimization. • Leverage AI capabilities to analyze test results, identify patterns, and proactively detect potential quality risks earlier in the development cycle. • Develop and maintain automated test suites using modern frameworks and tools to accelerate testing cycles and improve regression coverage. • Document QA processes, methodologies, and best practices to ensure consistency across the team and facilitate knowledge sharing, enabling team members to learn from each other. • Analyze testing processes and methodologies, gather feedback from retrospectives, and implement improvements to enhance team productivity and overall product quality. • Identify training needs and provide opportunities for professional development, ensuring the QA team remains skilled in the latest testing techniques and tools to adapt to evolving project requirements. • Proactively identify potential quality risks early in the development process and collaborate with teams to effectively mitigate those risks, ensuring a smoother development cycle. What you need to have: • Bachelor's degree in computer science, related degree, or relevant experience. • 3-6 years of product and or business analyst experience • Demonstrate proficiency in automation testing methodologies, developing and implementing strategies that ensure high-quality software delivery throughout all phases of the development lifecycle. • Expertise in testing and automation tools including Playwright, Cypress, Bruno, Postman and Selenium. • Implement continuous integration and continuous delivery (CI/CD) pipelines with automated testing to ensure rapid and reliable software releases. • Skilled in any of the programming languages such as C#, JAVA, Python, Typescript, and JavaScript. • Regularly communicate with stakeholders regarding quality initiatives, project status, and any issues that may impact delivery timelines or product quality, ensuring transparency and alignment. Good to Have skills: • Experience with data analysis and optimization tools such as DAX Optimizer and DAX Studio. • Experience with database management tools such as Microsoft SQL, SQL Management Studio, Mongo DB, and Apache Directory Studio. • Knowledge of monitoring and analytics platforms such as Datadog • Experience with AI-driven testing tools or platforms that support test automation and quality analytics.