DevOps Engineering Manager - Grenoble, France - Schneider Electric

Description

At Schneider Electric, we are committed to solving real-world problems to create a sustainable, digitized, new electric future.

Artificial Intelligence has the potential to transform industries and help unlock efficiency and sustainability.

Within our Global AI Hub we combine our long-standing manufacturing and domain expertise with cutting-edge innovation in AI, machine learning, and deep learning to empower smarter decision-making, agility, and decarbonization.

The AI Technology team is looking for a Devops Engineering Manager.

You will be reporting to the Director of Engineering and manage a team of 10 people.

We look for someone with technical and leadership expertise. As a DevOps Engineering Manager, you contribute to the development and delivery of our AI platform and the AI solutions built on top of it. You will be challenged to participate and support delivery excellence and cybersecurity Schneider guidelines.

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.

Your responsibilities :

• Build and manage the Devops engineering team and inner platform
• Ensure high quality, timely delivery of platform in lines with delivery commits
• Manage day to day activities of the team within the Agile framework
• Work closely with devops engineers to architect and develop the best technical design and approach
• Continuously evaluate relevant technologies, influence architecture and design discussions
• Hold team to high standard of code quality, unit testing, architecture, tech debt, code security ...
• Participate in automation initiatives to streamline processes, improve efficiency, monitor, scale and reduce cost of cloud infrastructure
• Ensure the development process of the AI DevOps stack follows the DevSecOps recommendations & best practices
• Contribute to the definition of the AI DevOps practice model
• 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 for continuous improvement

Your profile :

• Master's degree in Engineering, computer science engineering field
• 10+ years of experience in software development with 5+ years as DevOps engineering Leader 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
• Demonstrated ability to lead and motivate teams effectively to achieve positive business and user outcomes, within and across partner teams.
• 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, Terraform...
• Familiar with Agile methodologies: Scrum, SAFe

We know skills and competencies show up in many ways and can be based on your life experience. If you do not necessarily meet all the requirements that are listed, we still encourage you to apply.

Our offer includes attractive remuneration and goes far beyond that. We offer competitive benefits, a work environment that encourages professional development, a qualitative onboarding and accompaniment throughout the different stages of your life (training, career opportunities, parenting, flexibility ...), in a great workplace.

Why us?

Schneider Electric is leading the digital transformation of energy management and automation. Our technologies enable the world to use energy in a safe, efficient and sustainable manner. We strive to promote a global economy that is both ecologically viable and highly productive.

25.7bn global revenue

employees in 100+ countries

45% of revenue from IoT

5% of revenue devoted for R&D

You must submit an online application to be considered for any position with us. This position will be posted until filled

It is the policy of Schneider Electric to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct. Concerning agencies: Schneider Electric does not accept unsolicited resumes and will not be responsible for fees related to such.