Capgemini

Platform Engineering Manager

Brak informacji o wynagrodzeniu

SeniorOn-site·KatowiceFull-time

#396780·Dodano 3 miesiące temu·7

Źródło: Capgemini

Aplikuj teraz

Tech Stack / Keywords

AICloudDevOpsMLOpsAWS Azure GCP Docker

Firma i stanowisko

The Capgemini Group is a global leader in partnering with companies to transform and manage their businesses through technology, focusing on AI, cloud, and data. The position is within Group IT, delivering enterprise-wide IT services and enabling digital transformation. The role is part of the Global Delivery Center's Neo initiative, which is Capgemini's strategic enterprise-wide AI platform.

Wymagania

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Proven experience leading platform, cloud engineering, DevOps, SRE, or AI platform teams in complex enterprise environments
Solid understanding of AI/ML concepts, MLOps practices, and model operationalization
Hands-on experience with cloud platforms such as AWS, Azure, or GCP
Experience with containerization technologies including Docker and Kubernetes
Strong technical background in Python or similar programming languages with platform service development experience

Nice to have:

Experience with MLOps tooling, distributed AI systems
Open-source contributions
Kaggle participation
GCP certifications

Obowiązki

Lead, coach, and develop the Neo engineering team, fostering technical excellence and continuous improvement
Oversee design, development, and evolution of Neo’s AI platform components ensuring scalability and maintainability
Drive platform reliability, scalability, and performance collaborating with cloud engineering teams
Establish best practices for MLOps, model deployment, platform operations, and engineering delivery
Partner with product, data, cloud, and change teams to align technical initiatives with business priorities and emerging AI use cases
Ensure strong engineering governance, quality standards, and architectural adherence
Support roadmap planning, prioritization, and execution across multiple platform workstreams
Foster collaboration and innovation across engineering teams to accelerate platform growth and adoption

Benefity

Opportunity to work on a strategic enterprise-wide AI platform at an early and high-impact stage
Collaboration with leading experts in AI, cloud, and data
Extensive Learning & Development programs
Inclusive, safe, healthy, and flexible work environment

Dofinansowanie szkoleń

Elastyczne godziny

Capgemini

789 aktywnych ofert

Zobacz wszystkie oferty

Aplikuj teraz