Platform Engineering Manager

Capgemini; Warszawa; Hybrid; PLN 240,000 - 360,000; Full time

Benefits offered by this job

Yearly bonus

Private medical care

Life insurance

Training tracks

Hybrid work model

Home office package

Job summary

Capgemini, a leading AI-powered global technology partner, invites a talented Engineering Manager in Warsaw to lead the Neo platform delivery teams. You will guide engineers across cloud, data, product, and change squads, turning business needs into scalable AI features.

You’ll oversee design, build, and operation of Neo components, promote MLOps best practices, and ensure high-quality delivery with strong collaboration across disciplines and stakeholders.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Engineering management

AI/ML concepts

MLOps workflows

Model operationalization

Stakeholder management

Cloud experience

Python

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

AWS

Azure

GCP

Python

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your role

As the Engineering Manager within Capgemini, you will be responsible for leading the delivery teams behind Neo, the newly launched Group-wide AI platform. You will manage the engineers who build and operate Neo’s AI capabilities, ensuring high-quality delivery and smooth collaboration across cloud, data, product, and change teams. This role is central to translating business needs into scalable platform features while supporting teams through the rapid evolution of Neo.

• 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.

Your profile

• 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.

What You’ll love about working here

• Practical benefits: yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform.
• Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, TED Talks and Udemy Business materials and trainings.
• Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies.
• Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair).

Get to know us

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.

Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska. You can also find us on YouTube.

About Capgemini

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