Platform Engineering Manager

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage, employing over 420,000 team members in more than 50 countries. The company delivers end-to-end services and solutions leveraging AI, technology, and people, with 2025 global revenues of €22.5 billion.

• Bachelor's or master's degree in computer science/engineering, or a related field.
• Proven experience managing engineering teams in AI/ML, platform, or cloud environments.
• Solid understanding of AI/ML concepts, MLOps workflows, and model operationalization.
• Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
• Technical background in Python or similar languages, with experience scaling platform services.
• Strong communication and stakeholder-management skills, working with product, cloud, comms, and change teams.
• Bonus: experience with MLOps tools, distributed AI systems, open-source contributions, Kaggle, or GCP certifications.

• Managing and developing the Neo engineering team to ensure high-quality delivery and strong technical standards.
• Overseeing and coordinating the design, build, and evolution of Neo’s AI platform components.
• Ensuring and improving the scalability, performance, and reliability of the platform in collaboration with cloud engineering.
• Standardizing and promoting best practices in MLOps, model deployment, and platform operations.
• Partnering closely with product, data and change teams to align technical work with business priorities and upcoming AI use cases.