dont require expertise in every tool or technology, a strong grasp of fundamental concepts is essential. Our tech stack: - C#, .NET - REST APIs, Hangfire, MediatR, Entity Framework, Blazor - Azure: App Services, Functions, SQL Server, Service Bus, Event Hub, CosmosDB, Redis, Data Factory - GitHub, Azure DevOps, Terraform, Datadog What Youll Do Hands-on coding to solve complex More ❯
practices in data modelling, platform strategy, and pipeline design Support analytics and digital product teams through robust architecture and integration patterns Tech Environment & Tooling Deep focus on MicrosoftAzure and associated services: Azure Data Factory, DataBricks, CosmosDB, Azure SQL Strong usage of SQL Server and modern data warehouse/lakehouse design (preferably Databricks-based More ❯
driven APIs. Exposure to frontend development (particularly React.js, Tailwind, REDUX, Typescript) Past project experience with large scale webservices. Cloud infrastructure experience with AWS and/or Google Cloud, Azure, etc. Infrastructure-as-code experience, such as with Terraform or Cloud Formation. In-depth experience with unit and integration testing, and test automation generally. Ideally TAA and/or … Exposure with highly concurrent, asynchronous backend technologies, such as Ktor, http4k, http4s, Play, RxJava, etc. Exposure with DynamoDB or similar NoSQL databases, such as Cassandra, HBase, BigTable, or Cosmos DB. Exposure with Git workflows, and the ability to tailor the workflow to project needs. Exposure with containerised application deployment using Docker, Amazon ECS, Kubernetes, etc. More ❯
help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Your Role We are seeking a talented and experienced Azure AI Architect to join our team at Capgemini FS. In this role, you will be responsible for leading the delivery of projects within the Financial Services industry. The ideal … candidate will have a strong background in following: Design, develop, and optimize AI models using Azure AI Foundry, LLMs, and Azure machine learning services. Enhance and scale AI Platform, integrating RAG, LLMs, and ML pipelines into real-world applications. Develop AI agents with Azure AI Foundry, leveraging open standards such as MCP and A2A … implement best practices in AI deployment, security, and performance. Collaborate with clients to understand business needs and transform them into scalable AI-driven solutions. Ensure seamless integration with Azure services, including Cognitive Services, OpenAI models, and vector databases. Your Profile Proven experience working with Azure AI Foundry and its ecosystem. Strong background in LLM fine-tuning More ❯
colleagues, IT partners, and IT consultants, both on-site and off-site experience with the complete data solutions development lifecycle: designing, developing, deploying, and debugging advanced knowledge of Azure Data development using Synapse, Azure Data Factory, and ADX. Other services require a good working knowledge of Databricks, Logic Apps, and the Power Platform knowledge of a More ❯
Set: Solution Architect with CRM and Web Portal experience. The Regulatory Services Platform supporting the Programme is built on a primarily Microsoft stack using Power Platform, Dataverse and Azure Services such as API Management, Cosmos.db, Azure Active Directory (Entra ID) and others. The Portal is built to an n-tier architecture using node.js hosted on AzureMore ❯
solutions or services development with a focus on digital transformation, cloud platforms, and emerging trends like generative AI and SaaS. Preferred: Strong knowledge of Microsoft's cloud offerings (Azure, Dynamics 365, Microsoft 365). Minimum L300 knowledge on Fabric, Azure AI platform, Datalake and Lakehouse architecture, Cosmos DB. Skills in whiteboarding solutions for modern More ❯
