Platform Engineering Manager
Capgemini ·
- Category
- Devops
- Company size
- 1000+
Capgemini ·
Capgemini America, Inc. · Ottawa, Canada
Capgemini Engineering Sverige AB · Göteborg, Västra Götalands län, Sverige
Capgemini Engineering · Singapore, Singapore
Capgemini Polska Sp. z o.o. · Wrocław, Poland
Lead engineering teams building and operating Neo, Capgemini's Group-wide enterprise AI platform, from the Bydgoszcz Global Delivery Center. The role combines people leadership with overseeing MLOps, cloud (AWS/Azure/GCP), and Kubernetes-based platform delivery at scale.
As Platform Engineering Manager - Neo within the Global Delivery Center, you will play a central role in building and scaling Capgemini’s Group-wide AI platform. Neo is a strategic initiative, and this role is key to ensuring that its AI platform capabilities are delivered with quality, reliability, and scalability at enterprise scale.
You will lead engineering teams responsible for developing and operating AI platform components, working closely with product, cloud, data, and change stakeholders. This role offers a unique opportunity to combine people leadership, technical excellence, and innovation, helping shape the future of AI adoption across Capgemini.
A strong plus if you bring experience with MLOps tooling, distributed AI systems, open-source contributions, Kaggle participation, or GCP certifications.
As Platform Engineering Manager for Neo, you will be responsible for leading engineering delivery while developing a high-performing team capable of building and operating AI-powered solutions at scale.
In this role, you will:
Joining Capgemini is not just about starting a new job. It means becoming part of something bigger. We are a diverse collective of free-thinkers, entrepreneurs, and experts who work together to unleash human energy, imagination, and ingenuity through technology, with the goal of achieving an inclusive and sustainable future.
People are at the heart of everything Capgemini does. You can grow your career exponentially by contributing to innovative projects, developing expertise through our extensive Learning & Development programs, and working in an inclusive, safe, healthy, and flexible environment.
This role provides a unique opportunity to shape how Neo, our enterprise-wide AI platform, is engineered and scaled at an early and high-impact stage. You will work alongside leading experts in AI, cloud, and data while helping define the future of AI-powered experiences across the organization.
At Group IT, we believe that difference drives change. Our vision is bold, and our mission is clear: to empower the business through technology that enables efficiency, profitability, and sustainable growth. We deliver enterprise-wide solutions by harmonizing global standards and integrating all business units into a unified IT services model.
As a strategic partner to the business, Group IT translates complex needs into actionable initiatives, advocating for our stakeholders across the global technological landscape. We are currently driving a series of transformative rollouts and initiatives that enhance security, streamline operations, and elevate digital experiences for every Capgemini employee around the globe.
Our ambition is to build a connected, intelligent, and inclusive IT enterprise accessible to anyone, anytime, anywhere. This is your opportunity to lead change, shape the future, and build technology that matters.
The Capgemini Group is a global leader in partnering with companies to transform and manage their businesses. We do this by unleashing human energy, imagination, and ingenuity through the power of technology, with the goal of achieving an inclusive and sustainable future.
We are a responsible and diverse organization of more than 340,000 people, present in over 50 countries, with a strong 55+ year heritage. Capgemini is trusted by its clients to unlock the value of technology across the full breadth of their business needs. The Group delivers end-to-end services from strategy and design to engineering, powered by market-leading capabilities in AI, cloud, and data, combined with deep industry expertise and a rich partner ecosystem.
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