French multinational corporation headquartered in Paris, France
A senior architecture role in Capgemini's UK Insights & Data practice (DPID): advising C-level clients on data, AI and analytics architecture, owning solution direction from pre-sales through delivery, and mentoring the architecture community. Hybrid working from London; requires UK Security Check (SC) clearance eligibility (5 years continuous UK residency).
Junior infrastructure support role at Capgemini in Katowice: monitoring and maintaining cloud-based client infrastructure (STACKIT, Azure, AWS) for public and transportation sector customers, handling tickets, incidents, and SLA-driven coordination under ITIL practices. Fluent German (B2+) is required.
Capgemini is hiring a Solution Architect to advise clients on designing, implementing, and evolving Microsoft Dynamics 365 CRM architectures in complex, agile transformation projects, including technical workshops and presales. Core tech: Dynamics 365, Azure, AI/automation and cloud; hybrid work across Germany.
Capgemini is hiring a Senior Data Engineer (hybrid, Fremont/San Francisco, CA) to design and lead data warehousing, data lake, and big data solutions on Azure — using Python, PySpark, SQL, Databricks, Synapse, and Medallion Architecture while leading development teams. Requires 8+ years data engineering experience; base pay is $133k–$150k.
IT infrastructure architect in Capgemini's Brittany team: frames business/technical needs with clients, designs secure and scalable system architectures, writes architecture dossiers and presentations, and supports delivery teams. Core stack spans virtualization, Docker/Kubernetes, CI/CD, IaaS/PaaS and IaC (Terraform, ARM).
Cloud Solution Architect at Capgemini in Malmö/Helsingborg, designing and architecting cloud applications and integrations on AWS and GCP for client assignments in the Skåne region. The work spans application design, cloud DevOps/DevSecOps, and AI/ML-driven solutions using tools like Docker, Kubernetes, and Terraform.
DevOps engineer in Capgemini's Financial Services Cloud practice in Gdańsk, working hybrid on a modern cloud (AWS/GCP) and on-premise platform for banking and financial clients. Day to day: automating infrastructure (Terraform, Ansible), building CI/CD pipelines (Jenkins/GitLab, Octopus), containers (Docker/Kubernetes), and monitoring/performance troubleshooting, scripted in Python/Bash.
Senior Software Engineer at Capgemini's Älmhult (Sweden) office, working in a hybrid setup on consulting projects delivering cloud and custom application solutions. Day-to-day involves designing and implementing software (preferably Java, .NET, or Python on Azure/AWS/GCP), mentoring developers, and driving code quality and best practices.
AI/ML Engineer at Capgemini in Aguascalientes, Mexico, building production-grade generative AI applications for enterprise clients — developing LLM/RAG solutions, chatbots and virtual assistants with Python or Node.js, LangChain/LangGraph, vector databases, and cloud platforms (Azure/AWS/GCP).
Fullstack developer at Capgemini building and evolving applications for banking and insurance clients: backend in .NET/C#, frontend in React or Angular. Day to day covers technical analysis, development, testing, CI/CD, performance optimization, and code quality in Agile teams with Product, UX/UI, and QA.
Capgemini is hiring an AI & Data Scientist in Stockholm to partner with clients on turning data into business value — building forecasting, recommendation and optimisation solutions, assessing AI use cases, and applying GenAI/Agentic AI. Core stack includes Python or R, SQL, LLM frameworks (LangChain, LangGraph, LlamaIndex), visualization tools, and cloud data platforms like Databricks, Snowflake,
Cloud Data Engineer at Capgemini Engineering in Vila Nova de Gaia, Portugal (hybrid): designs, builds, deploys, and supports Python/Flask backend services and REST APIs, containerized with Docker/Kubernetes and deployed on Azure, while running large-scale data processing with Databricks, Apache Spark, Redis, and PostgreSQL in Agile teams.
Capgemini is hiring a Java Full Stack Developer in Bangalore to design and build scalable applications using Java, Spring Boot, microservices, and React.js, including REST API integration, testing, and full participation in the Agile SDLC.
Capgemini is hiring a Multi Cloud Transformation Architect in London (hybrid) to shape end-to-end cloud solution architectures for enterprise clients, from early project shaping through delivery and go-live, providing technical leadership and trusted client advice. Core tech: Azure, AWS and Google Cloud, with secure-by-design, sustainability and FinOps.
Solution architect role at Capgemini Engineering in Gurgaon (12+ yrs) focused on leading security presales (RFP/RFI), designing end-to-end security architectures across network security, IAM, SOC/SIEM, cloud and zero trust, and governing multi-year delivery programs. Core stack: Cisco, Palo Alto, Fortinet, Splunk, Sentinel, QRadar, AWS/Azure.
A forward-deployed full stack engineer at Capgemini in Singapore builds GenAI and agentic applications for business units, owning delivery from discovery and prototyping through production rollout. Core stack: Python, FastAPI, PostgreSQL, and LLM orchestration frameworks like LangGraph, LangChain, and n8n on cloud (AWS preferred).
Senior software engineer (onsite, Plano, TX) at Capgemini Engineering who builds CI/CD pipelines and release automation, coordinates Android/iOS app releases, and investigates field issues for connected medical products under IEC 62304 Class C, using Python, C#/.NET, Azure DevOps, GitHub Actions, Terraform, and approved AI-enabled tools.
A consultant role in Capgemini Invent's AI & Digital Factory designing, building and running cloud infrastructure, platforms, CI/CD and SRE practices for clients, using tools like Terraform, Docker, Kubernetes and AWS/Azure/GCP. Based in London, Manchester or Glasgow with client-site flexibility.
Senior full-stack AI engineer at Sogeti (part of Capgemini) in Utrecht who designs, builds, and deploys scalable GenAI and agentic AI systems end to end — from data ingestion and Python microservices through deployment, monitoring, and continuous improvement, mainly on Azure.
Data Scientist at Capgemini in Bangalore who develops data science and analytics solutions using Python, PySpark, and SQL, builds scalable ETL pipelines for large datasets, and deploys cloud data solutions on Azure (plus AWS/GCP) with CI/CD practices alongside engineering and business teams.