French multinational corporation headquartered in Paris, France
Data Engineer at Sogeti (part of Capgemini Group) in Jönköping/Skövde, Sweden, structuring and developing clients' data processes: data modeling, ETL, warehousing, and BI solutions, working with project managers, architects and developers. Core stack: SQL, Azure, Fabric, DAX, Python.
Capgemini (Insight & Data) is hiring an AI Engineer in Italy (Milan, Turin, Bologna, Marcon, Rome; hybrid) to build and productionize scalable AI, deep learning and Generative AI solutions — RAG architectures, ETL pipelines, vector databases and APIs — using Python/PySpark, MLOps and CI/CD on hyperscaler platforms.
Senior Azure Cloud Engineer at Capgemini (Utrecht, hybrid) who designs, builds, and optimizes secure, scalable Azure environments for semi-government and utilities clients. Daily work centers on Azure Landing Zones, Infrastructure as Code, CI/CD pipelines, containers, serverless, and Agentic AI.
Client-facing consulting role at Capgemini: design, build, and operate cloud-native platforms and internal developer platforms for clients across Azure, AWS, and GCP, using Kubernetes/OpenShift, CI/CD, and Infrastructure as Code (Terraform, Bicep, Pulumi), with platform governance, security, and AI-assisted engineering.
Capgemini is hiring a Mobile SDET Lead in Aguascalientes, Mexico to design and run test automation for retail/eCommerce clients across iOS, Android, mobile web, and REST APIs. Day to day: building Appium/Java/Selenium frameworks, wiring tests into CI/CD (Jenkins, GitHub Actions, Azure DevOps), and mentoring offshore QA engineers.
Senior Site Reliability Engineer at Capgemini's new Porto Tech Hub, supporting a European mobility services client. Day to day: ensuring reliability of cloud-native platforms, running incident management and on-call, building observability (Prometheus, Grafana, OpenTelemetry), and automating with Kubernetes, Terraform, and CI/CD tooling.
A senior hands-on engineer/consultant who embeds with client teams to architect, build, and ship production-grade AI and agentic systems, while also presenting to C-suite stakeholders and shaping engagements. Core stack: Python/TypeScript, React, LangChain/LangGraph-style agentic frameworks, LLMs, AWS/Azure/GCP, Docker/Kubernetes, and Terraform.
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,…
Capgemini is hiring an onsite MLOps Engineer in Westlake, TX (Dallas area) to put machine learning and generative AI models into production. The work centers on AWS cloud, Docker, CI/CD (Jenkins, Git), and LLM tooling such as LangChain, vLLM, LangGraph, and RAG pipelines, using Python and TypeScript.
Graduate programme starting April 2027 at Capgemini (Telford or Hove, hybrid up to 3 days/week on a secure site), where graduates join a Data Engineer or Software Engineer track delivering solutions for a large UK public sector client. Core tech spans Python/Java, SQL/NoSQL, cloud (AWS/Azure/GCP), and frameworks like React, Spring Boot, and Django.
Director-level Salesforce Solution Architect in Capgemini's Financial Services business unit in Bangalore, owning GenAI-powered Salesforce solution design and the end-to-end presales lifecycle (discovery, RFP/RFI, proposals, client demos) while leading architects and consultants. Core tech: Salesforce clouds, Apex/LWC, LLMs (OpenAI, Azure OpenAI, Anthropic), and AWS/Azure/GCP.
Lead end-to-end delivery of complex custom software development and AI/GenAI projects for international clients as a Senior Project Manager at Capgemini in Gdańsk (hybrid). You own scope, budget, governance, risks, and client relationships while managing large multidisciplinary teams and scaling AI-enabled delivery.
DevOps developer at Sogeti (Capgemini group) in Montbonnot-Saint-Martin, France: designing and optimizing CI/CD pipelines, automating infrastructure deployment, and monitoring production platforms. Core stack includes Ansible, Terraform, Kubernetes, Docker, cloud (AWS/Azure/GCP), Linux, and Python/Bash scripting.
Capgemini Engineering is hiring a Full Stack Developer in Aguascalientes, Mexico to design, build, and maintain enterprise-grade web applications using Angular and .NET. Day-to-day work spans REST APIs, SQL Server databases, responsive front-ends, and CI/CD pipelines in Agile teams, with Microsoft Azure preferred.
Capgemini is hiring a GEN AI Lead Software Engineer in Bangalore to drive GenAI, Agentic AI, and AI-SDLC transformation across large engineering teams — designing RAG pipelines, vector DB solutions, and AI-assisted delivery integrated with GitHub, Jira, CI/CD, and SonarQube. Requires 6+ years in software engineering, 2+ years in GenAI, and experience leading 300+ engineer transformations.
Choisir Capgemini, c’est choisir une entreprise où vous serez en mesure de façonner votre carrière selon vos aspirations. Avec le soutien et l'inspiration d'une communauté d’experts dans le monde entier, vous pourrez…
Capgemini is hiring an AI Architect for a hybrid role in Mexico City to design enterprise architectures for generative AI, agentic AI, and machine learning solutions. The role covers RAG strategies, multi-agent systems, LLM platforms, vector databases, AI governance, and mentoring AI engineering teams.
Capgemini Engineering is hiring a remote full-stack developer to design, build, and maintain enterprise web applications using Angular/TypeScript on the front end and C#/.NET Core with Microsoft SQL Server on the back end, including REST APIs, code reviews, Agile work, and CI/CD deployments.
A senior leadership role in Navi Mumbai driving GenAI, Agentic AI, and AI-SDLC transformation across large engineering teams: designing RAG pipelines, vector DBs, and AI-assisted delivery practices, and integrating AI with GitHub, Jira, CI/CD, and SonarQube. Backed by hands-on GenAI skills plus Java/.NET, cloud, DevOps, and SRE experience.
Capgemini is hiring a Senior AI Project Manager for its AI Hub in Cairo to lead end-to-end delivery of AI, Generative AI, machine learning, and intelligent automation projects. Day to day: defining scope, budgets, and governance, running Agile delivery, and coordinating cross-functional teams of AI engineers, data scientists, and stakeholders.