French multinational corporation headquartered in Paris, France
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.
A graduate UX programme starting in Hove, UK, where the hire joins Scrum teams supporting a large UK Public Sector client, rotating across user research, interaction design, and content design. Core focus is UX practices within Agile delivery, with SC security clearance required.
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 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 a Data Scientist in Bangalore to design, develop, and deploy machine learning and Generative AI solutions (LLMs, RAG, predictive modeling) that drive business outcomes. Core stack includes Python, SQL, ML/analytics, AWS/SageMaker, and AI orchestration frameworks like LangChain.
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.
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.
Consultant/Senior Consultant C#/.NET full stack engineer at Capgemini Invent, building cutting-edge digital solutions for clients using ASP.NET Core, front-end frameworks (React/Angular/Blazor), cloud (AWS/Azure), and CI/CD in agile teams. Based in London, Manchester, or Glasgow with full flexibility for client-site travel.
A mainframe developer role at Capgemini in New York focused on developing and supporting COBOL/JCL/DB2/VSAM batch applications and modernizing legacy mainframe systems into Java applications on AWS, using Claude-assisted code transformation, GitHub, Agile, and JIRA.
Capgemini is hiring a Sr. Java Developer in Buenos Aires to design, build, and maintain scalable, resilient backend systems using Java/Kotlin, Spring Boot, and AWS, with GraphQL APIs (Netflix DGS) on MongoDB Atlas and Aurora MySQL, plus ownership of observability, cost optimization, and platform maintenance initiatives.
Data Engineer on Capgemini's HR Data Mart team in Buenos Aires, building and maintaining secure, scalable HR analytics pipelines and data marts. Core stack: Snowflake, DBT, PySpark, Python, Airflow, Terraform, AWS, plus Snowflake Cortex AI agents and MCP integrations.
Senior technical-operations lead coordinating global data ingestion and distributed data-platform operations: ensuring operational continuity, coordinating international teams, and surfacing risks, incidents and performance metrics. Core stack is cloud (AWS/Azure/GCP), Python, Docker, ETL/pipelines and DevOps practices.
Capgemini is hiring a full-stack developer in Bangalore to build and maintain scalable web applications using Angular or React on the front end and .NET Core/C# REST APIs on the back end. The role centers on developing microservices, deploying cloud-native apps on Microsoft Azure (App Services, Functions, Azure SQL, etc.), and working with Azure DevOps CI/CD within Agile/Scrum teams.
A DevOps engineer at Capgemini in Bangalore who designs AWS cloud infrastructure with AWS CDK in TypeScript, builds CI/CD pipelines, manages Docker/Kubernetes (EKS) workloads, and implements monitoring and security best practices across multiple AWS environments.
Capgemini is hiring a Senior GenAI/Agentic consultant in Aix-en-Provence to design, architect, and deploy scalable autonomous AI agents and GenAI solutions (LangChain, CrewAI, LLMs), build MLOps pipelines, run workloads on AWS/Azure/GCP, and translate business needs into AI solutions while mentoring technical teams.
Capgemini Engineering seeks an IoT & Edge Computing Engineer in Buenos Aires to develop and maintain edge applications in Python, C/C++ for IoT solutions, integrating with AWS, Azure or Google Cloud, using protocols like MQTT, Modbus and OPC UA, deploying via Docker/Kubernetes and providing L3 production support.
Capgemini is hiring a Full Stack Engineer in Singapore to own end-to-end application development across frontend, backend, and cloud infrastructure, with CI/CD automation and a growing focus on data pipelines and AI/ML integration. Core stack includes Python, SQL, REST APIs, cloud platforms (AWS/GCP/Azure), Docker/Kubernetes, and exposure to RAG.