Senior DevOps Engineer - Platform Engineering AI Technology

Schneider Electric’s purpose is to empower all to make the most of our energy and resources, bridging progress and sustainability for all. At Schneider, we call this Life Is On. We are driving digital transformation by integrating the most advanced energy and automation technologies. We connect products, control platforms, software and services throughout the lifecycle of our customers' activities to the cloud for integrated management of residential housing, commercial buildings, data centers, infrastructures and industries. Within the Schneider Digital entity, we are currently developing a distributed global AI Hub between the United States (Boston), India (Bangalore) and France (Paris/Grenoble) to deliver innovative AI projects at scale and make Schneider Electric become an AI-driven organization. As part of the AI Technology group, we seek a Senior DevOps Engineer, an Infrastructure as Code expert who can contribute to the development and delivery of our AI platform and the AI solutions built on top of it. You willl be challenged to participate in the AI Platform Engineering practice to build the best in class AI services and tools to allow delivery of AI Use cases at scale. We look for someone who is passionate about solving complex business & technical problems by applying best in class engineering, quality, and security practices in the context of the lifecycle management of the AI models that are designed & deployed for external offers or internal functions use cases. Responsibilities : Contribute to the definition, architecture, development & maintenance phases of the Infrastructure as Code technical stack for the AI Hub Enforce the the DevSecOps recommendations & best practices on the AI services of the AI Platform, leveraging the AI DevOps stack Work closely with the other teams from AI Technology group to ensure the smooth integration of the IaC DevOps practice within Platform Engineering Work closely with the different AI Hub teams to refine & confirm the needs related to IaC You' re interested in solving real world problems with AI? Join us for a sustainable, digital new electric world and make a true impact for sustainability. Qualifications Master’s degree in Engineering 10+ years of experience in software development with 5+ years as DevOps engineer in Public Cloud and/or Edge Strong knowledge of DevOps processes at scale and experience of production systems Strong knowledge of Infrastructure as Code technologies and practices Rigorous mindset, still open to changes Good team player At ease in an international work environment Good understanding of data architecture and data privacy Strong notions of cloud and edge security best practices Experience with AI and ML technology and services is a plus Technologies: Github, Python, Azure, AWS, Kubernetes, Terraform, Ansible Great people make Schneider Electric a great company. To co-create tomorrow, we give our employees the opportunity to challenge the status quo and to undertake. We value diversity and promote well-being and flexibility within our work environment. Present in 115+ countries around the world, we are the most local of global companies. We are advocates of open standards and partnership ecosystems that are passionate about our shared Meaningful Purpose, Inclusive and Empowered values. Take part in the Schneider Electric adventure, join us! Schedule: Full-time Req: 00826L