Platform Engineering Manager

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. With nearly 60 years of heritage, it is a diverse group of over 420,000 team members in more than 50 countries. The Group reported 2025 global revenues of €22.5 billion. Capgemini delivers end-to-end services and solutions with deep industry expertise and a strong partner ecosystem, leveraging capabilities across strategy, technology, design, engineering, and business operations.

• 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.

Nice to have:

• 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.

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. They evaluate individuals based on qualifications and performance, not personal characteristics.