French multinational corporation headquartered in Paris, France
Capgemini is hiring a Java Software Engineer in Diegem, Belgium, to design, build and evolve scalable, cloud-native software solutions for clients, working across the full lifecycle with microservices, CI/CD and AI-assisted development. Requires experience with distributed systems, cloud platforms, front-end frameworks, and Dutch/English proficiency.
DevOps Engineer joining Capgemini Engineering's Quick Start Pool (open only to candidates located in Ukraine): design, build, and manage DevOps solutions for data and analytics projects, mainly CI/CD pipelines and infrastructure as code. Core stack: Azure/Azure DevOps, Kubernetes, Terraform, Docker.
A senior client-facing Lead Principal Cloud Architect at Capgemini works onsite in Irvine, CA as a CTO-style advisor to a client, defining multi-cloud (GCP/Azure/AWS) and hybrid infrastructure strategy, governance, and roadmaps while leading architecture reviews, incident RCA, MSP design reviews, and IaC/FinOps adoption.
A Managing Consultant / Cloud Programme Manager at Capgemini Invent who leads medium-to-large cloud and infrastructure transformation programmes for enterprise clients — cloud migrations, data centre exits, landing zones — across AWS, Azure and GCP, owning governance, benefits realisation, teams and suppliers. Based in London, Manchester or Glasgow with client-site flexibility.
A platform architect at Capgemini's fast-growing Power Platform domain (Utrecht, hybrid) who designs secure, compliant, enterprise-grade Microsoft Power Platform and Copilot Studio environments for clients. Day to day: platform governance, security and lifecycle architecture, coaching developers, and running workshops and PoCs.
Data Engineer on Capgemini's Insights & Data team in Wrocław, Poland, designing large-scale data processing solutions in Databricks and building data pipelines with Python and cloud-native tools across AWS, Azure, or GCP. Focus areas include data consistency, security, scalability, and DevOps practices.
A data engineer at Capgemini Invent in Bangalore who designs and maintains enterprise data pipelines and analytics platforms, centered on Palantir Foundry, with ETL work (Talend), SQL/NoSQL databases, and cloud data architectures on Azure, AWS, Snowflake, and Google Cloud.
Job Role: Google Cloud Champion (Pre-Sales & Delivery Leadership) Location: London, UK About the Job you are considering: Are you a Google Cloud leader who can inspire a client during a pitch and successfully guide…
Senior Data Engineer at Sogeti (part of Capgemini) in Groningen, Netherlands, designing end-to-end data solutions — data lakes, warehouses, and lakehouses using Microsoft Fabric, Databricks, and Snowflake — for clients across the Netherlands, plus coaching junior engineers. Requires fluent Dutch (C1); pays up to €7,101.67 gross per month.
Lead and architect test automation at Sogeti (Capgemini Group) in Belgium: design scalable automation frameworks, integrate them into CI/CD pipelines, run client assessments and POCs, and mentor QA teams hands-on. Requires ~8-10 years in test automation, broad tool expertise (Selenium, Playwright, Cypress, Tosca, etc.), and Dutch/English fluency.
DevOps engineer in Capgemini's Cloud Infrastructure Services unit, based in Mérignac (France). Day to day: evangelize DevOps to clients, set up industrialization and deployment tooling, evolve IT systems in Agile teams, and ensure infrastructure availability, security and monitoring using Docker, Kubernetes/OpenShift/OpenStack, Ansible and Jenkins.
A 4–6 month Java developer internship at Capgemini in Aix-en-Provence, France. The intern builds scalable applications, sets up continuous delivery, and develops back-end and front-end web interfaces through to production using Java, Spring, and Angular within Agile teams.
Entry-level (trainee) AI Engineer at Capgemini Engineering in Mexico who builds AI prototypes, integrates LLM/RAG and agentic AI systems with internal platforms, and develops microservices (Flask/Django/Spring) on Azure with DevOps practices. Remote role per the posting.
Software engineer at Capgemini in Singapore working across full-stack development (React, React Native, Node.js/TypeScript), DevOps (GitLab CI/CD pipelines), and AWS cloud infrastructure using Terraform. The role spans building RESTful APIs, automating deployments, and SRE-related cloud operations.
Capgemini is hiring a Full Stack .NET Developer in Aguascalientes, Mexico, to design, build, and maintain data pipelines, processing infrastructure, and services for real-time/batch decisioning and reporting. Core stack: C#, ASP.NET/.NET Core, SQL Server, Web API/MVC, and Azure services (App Service, SQL, Cosmos DB, Redis), delivered via Agile.
A middleware/DevOps engineer role in Noida focused on administering and troubleshooting JBoss, WildFly, Apache, and Tomcat servers on Linux, writing shell scripts for automation, managing IBM Tivoli Workload Scheduler jobs, and supporting Azure cloud operations alongside infrastructure and DevOps teams.
A Resident Solutions Architect at Capgemini Engineering in Katowice, Poland, designs and delivers scalable Databricks-based data, analytics, and AI solutions on cloud platforms, providing hands-on technical leadership and advising teams on DevOps, MLOps, security, and governance. Core tech: Databricks, Apache Spark, Python, AWS/Azure/GCP.
Junior full stack Java developer at Capgemini in Westlake/Dallas, TX (day-one onsite, hybrid), building enterprise-grade financial applications with Java, Spring Boot, Angular, and RESTful APIs, creating Power BI dashboards, and working with AWS/Azure cloud, Kubernetes/Docker, and Snowflake/Oracle/PostgreSQL databases.
End-of-studies internship (AI / Data Engineer) with Capgemini Invent's Lab in Issy-les-Moulineaux, France. The intern works on an R&D project and client consulting missions, building data pipelines, DevOps/LLMOps infrastructure, and GenAI applications (RAG, LangGraph agents) in Python, plus back-end REST APIs.
Capgemini (Insight & Data) is hiring an AI Architect in Italy (hybrid) to design end-to-end AI, ML and Generative AI solutions — including RAG architectures, LLM and vector database integrations — define MLOps/CI-CD standards, and guide teams from design through production on cloud platforms like Azure, AWS, GCP, Databricks and Snowflake.