Company Overview: Schneider Electric is a global leader in energy management and automation, committed to providing innovative solutions that ensure Life Is On everywhere, for everyone, and at every moment. We are seeking a seasoned Quality Engineering leader to drive quality transformation across IoT, Edge and Cloud-based Smart Building solutions. This role is accountable for quality strategy, automation transformation, AI-enabled testing, test environments, test data management, and development of high performing QA teams. Key Deliverables Define enterprise QA strategy. Establish scalable test environments and IoT labs. Implement test data management. Drive automation across UI/API/integration/performance testing. Institutionalize AI-enabled quality practices. Improve release quality KPIs. Build and mentor a world-class QA organization. Responsibilities: Leadership Team Management Lead and manage QA team including Automation engineers, Edge and Cloud test engineers. Define team objectives, KPIs, and performance goals. Mentor teams and foster a culture of accountability and innovation. Quality Strategy Governance Develop and execute the organizations QA strategy aligned with business objectives. Establish testing standards, methodologies, and best practices. Own quality roadmap, quality metrics, governance framework, release readiness, and risk management. Drive process improvements and Quality Engineering practices across product teams. Test Architecture, Setting Data Management Own test strategy across Edge, IoT, Cloud, APIs and Analytics platforms. Establish device labs, simulators, digital twins, test environments and comprehensive test data management practices. Oversee test planning, estimation, execution, and defect management activities. Ensure adequate test coverage across functional, integration, regression, performance, and security testing. Review and approve test strategies, test plans, and release readiness criteria. Automation Innovation Drive automation-first culture. Expand automation coverage across UI, API, integration, performance, and infrastructure testing. Evaluate and implement new QA tools, technologies, and industry best practices. Promote shift-left testing and DevOps quality practices. Leverage GenAI for test design, script generation, maintenance, and predictive quality analytics. Stakeholder Collaboration Collaborate closely with Product Management, Engineering, DevOps, and Customer Success teams. Participate in release planning and risk assessment activities. Communicate quality status, risks, and mitigation plans to senior leadership. Requirements: Bachelor s degree in computer science, Engineering, or a related field.



15+ years of experience with deep expertise in cloud edge testing; 5+ years leading large QA teams; Solid understanding of CI/CD tools (Jenkins, GitLab, GitHub Actions). Familiarity with cloud environments (AWS, Azure) and containerization (Docker, Kubernetes). Experience working in Agile/Scrum environments, with experience in Test Management tools like Jira and X-Ray. Experienced in Managing, Coordinating, Planning, and executing the testing with multiple cross functional team and Agile process. Preferred experience in Smart Buildings, IoT platforms, or cloud-based data intensive systems Leadership Skills: Proven ability to lead and manage engineering teams. Advanced verbal and written communication skills including the ability to explain and present technical concepts to a diverse set of audiences. Good judgment, time management, and decision-making skills Strong analytical and problem-solving abilities. Comfortable working directly with both technical and non-technical audiences Willingness to work outside documented job description. Has a whatever is needed attitude. Up-to-date knowledge of technology trends and industry standards. Company Overview: Schneider Electric is a global leader in energy management and automation, committed to providing innovative solutions that ensure Life Is On everywhere, for everyone, and at every moment. We are seeking a seasoned Quality Engineering leader to drive quality transformation across IoT, Edge and Cloud-based Smart Building solutions. This role is accountable for quality strategy, automation transformation, AI-enabled testing, test environments, test data management, and development of high performing QA teams. Key Deliverables Define enterprise QA strategy. Establish scalable test environments and IoT labs. Implement test data management. Drive automation across UI/API/integration/performance testing. Institutionalize AI-enabled quality practices. Improve release quality KPIs. Build and mentor a world-class QA organization. Responsibilities: Leadership Team Management Lead and manage QA team including Automation engineers, Edge and Cloud test engineers. Define team objectives, KPIs, and performance goals. Mentor teams and foster a culture of accountability and innovation. Quality Strategy Governance Develop and execute the organizations QA strategy aligned with business objectives. Establish testing standards, methodologies, and best practices. Own quality roadmap, quality metrics, governance framework, release readiness,



and risk management. Drive process improvements and Quality Engineering practices across product teams. Test Architecture, Environment Data Management Own test strategy across Edge, IoT, Cloud, APIs and Analytics platforms. Establish device labs, simulators, digital twins, test environments and comprehensive test data management practices. Oversee test planning, estimation, execution, and defect management activities. Ensure adequate test coverage across functional, integration, regression, performance, and security testing. Review and approve test strategies, test plans, and release readiness criteria. Automation Innovation Drive automation-first culture. Expand automation coverage across UI, API, integration, performance, and infrastructure testing. Evaluate and implement new QA tools, technologies, and industry best practices. Promote shift-left testing and DevOps quality practices. Leverage GenAI for test design, script generation, maintenance, and predictive quality analytics. Stakeholder Collaboration Collaborate closely with Product Management, Engineering, DevOps, and Customer Success teams. Participate in release planning and risk assessment activities. Communicate quality status, risks, and mitigation plans to senior leadership. Requirements: Bachelor s degree in computer science, Engineering, or a related field. 15+ years of experience with deep expertise in cloud edge testing; 5+ years leading large QA teams; Solid understanding of CI/CD tools (Jenkins, GitLab, GitHub Actions). Familiarity with cloud environments (AWS, Azure) and containerization (Docker, Kubernetes). Experience working in Agile/Scrum environments, with experience in Test Management tools like Jira and X-Ray. Experienced in Managing, Coordinating, Planning, and executing the testing with multiple cross functional team and Agile process. Preferred experience in Smart Buildings, IoT platforms, or cloud-based data intensive systems Leadership Skills: Proven ability to lead and manage engineering teams. Advanced verbal and written communication skills including the ability to explain and present technical concepts to a diverse set of audiences. Good judgment, time management, and decision-making skills Strong analytical and problem-solving abilities. Comfortable working directly with both technical and non-technical audiences Willingness to work outside documented job description. Has a whatever is needed attitude. Up-to-date knowledge of technology trends and industry standards.

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📌 Manager II, V&V IoT & Cloud Applications (Gurugram)
🏢 Schneider Electric
📍 Gurugram