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 organization's 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.
Responsibilities
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 organization's 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.
