Platform Engineering Manager

Talanto

Województwo pomorskie

Hybrid

PLN 320,000 - 520,000

Full time

14 days+
Application generator

A complete application in a minute — tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Yearly financial bonus
Private medical care
Life insurance

Job summary

Capgemini is seeking an Engineering Manager to lead the Neo AI platform delivery teams. You will manage engineers, ensure high-quality delivery, and coordinate across cloud, data, product, and change teams to translate business needs into scalable platform features.

The role requires a strong AI/ML background, cloud experience (AWS/Azure/GCP), and expertise in MLOps and containerization. A hybrid work model is offered.

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.

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

Team management
AI/ML concepts
MLOps
Cloud platforms
Python or similar
Communication
MLOps tools (bonus)

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker
Kubernetes

Job description

Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or install software — refuse. These are signs of fraud.

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.

Your tasks
  • 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 frontier 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.

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.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Cloud Engineer (Cloud-native, AWS/Azure/GCP)
Cloud Engineer (Cloud-native, AWS/Azure/GCP)

Capgemini • Poznań

Hybrid
PLN 180,000 - 260,000
Private medical care
Life insurance
Training & certification tracks
Senior AI Engineer
Senior AI Engineer

Capgemini • Katowice

Hybrid
PLN 120,000 - 210,000
Hybrid work model
Extensive training tracks
Private medical care
+1
Senior Engineer (Python, Cloud, AI/GenAI)
Senior Engineer (Python, Cloud, AI/GenAI)

Capgemini • Poznań

Hybrid
PLN 180,000 - 240,000
Private medical care (Medicover)
Life insurance
NAIS benefits platform (40+ options)
+4
Data Science Lead
Data Science Lead

Capgemini • Wrocław

Hybrid
PLN 260,000 - 380,000
Senior Software Engineer (Agentic AI, Cloud-native, On-prem)
Senior Software Engineer (Agentic AI, Cloud-native, On-prem)

Capgemini • Województwo pomorskie

Hybrid
PLN 180,000 - 240,000
Medicover private medical care
Life insurance
70+ training tracks
+2
GCP AI Developer
GCP AI Developer

Capgemini • Warszawa

Hybrid
PLN 212,000 - 298,000
Medical care with Medicover
Private life insurance
Sports card
+1
Senior Software Engineer (Python)
Senior Software Engineer (Python)

Capgemini • Wrocław

Hybrid
PLN 180,000 - 240,000
AI SME (Supply Chain -Transformation)
AI SME (Supply Chain -Transformation)

Capgemini • Kraków

Hybrid
Medical care with Medicover
Private life insurance
Sports card
+1
Data Platform Engineer (DevOps)
Data Platform Engineer (DevOps)

Capgemini • Województwo pomorskie

Hybrid
PLN 120,000 - 180,000
Hybrid working
Training tracks
Private medical care
+2
GCP Data Engineer
GCP Data Engineer

Capgemini • Kraków

Hybrid
PLN 180,000 - 280,000
Well-being culture
Hybrid working model
Training tracks & certifications
+1