26 to 33 of 33 Azure Cosmos DB Jobs in London

.NET Developer, .NET 10.0, C# 14, Agile - London (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure, Angular 21, Vue.js, TypeScript, Multithreading, RESTful, ASP.NET Core Web API, EF Core 10.0, Programmer, Full Stack Engineer, Architect, .NET Developer) Our client is a global innovator who builds software … inspiration into reality. We are keen to hear from .NET Developer candidates with a good grasp of: .NET, .NET Core, C# and Azure SQL. Our client will give you the opportunity to work on enterprise level software development projects and provide training into: .NET 10.0, ASP.NET Core, C# ...

preferred) Frontend & Full Stack Exposure Experience with React, TypeScript, Redux, and Tailwind (or similar modern frameworks) Cloud & Infrastructure Experience with AWS, GCP, Azure, or similar Infrastructure-as-code (Terraform, CloudFormation, etc.) Containerised deployments using Docker, ECS, Kubernetes, or equivalent Nice to Have Exposure to Scala or functional programming … concepts Experience with asynchronous and highly concurrent backend frameworks (e.g. Ktor, http4k, Play, RxJava) NoSQL experience (DynamoDB, Cassandra, BigTable, Cosmos DB, etc.) Strong Git workflow experience and the ability to adapt workflows to project needs A genuine appetite for learning and adopting new technologies quickly #J ...

working with event-driven architectures and translating incoming data into a consistent canonical model. Key responsibilities include: Building ingestion pipelines consuming data from Azure Event Hub and Kafka streams. Mapping incoming data (largely 1:1) into a canonical model, with additional metadata enrichment from Kafka sources. Leveraging … within the last 12 months) Strong expertise in C#/.NET development. Hands-on experience with Elasticsearch, including indexing and querying. Desirable Skills Azure services: Functions, Event Hub, Service Bus, OneLake, Cosmos DB, AKS. Experience with GitHub Actions and CI/CD pipelines. Working ...

migration velocity, agent utilisation, and risk to stakeholders You Bring 6-8 years software engineering ; 2+ years leading delivery teams Deep AWS and Azure serverless experience (Lambda Functions, DynamoDB Cosmos DB , Step Functions Durable Functions ) Hands-on Claude Code , Claude Desktop , and Cowork proficiency ...

still have a sound technical knowledge, in order to help inspire the team. Here’s their stack: Python, C#, TypeScript, .NET Core, React, Azure, Redis, Terraform, REST APIs, Distributed Systems, Distributed Storage, Azure Tables, SQL Server, Cosmos, xUnit. The candidate What ...

languages such as Python, C#, TypeScript or related is also essential. See below for their tech stack: Python, C#, TypeScript, .NET Core, React, Azure, Redis, Terraform, REST APIs, Distributed Systems, Distributed Storage, Azure Tables, SQL Server, Cosmos, xUnit. What ...

include designing secure, scalable, and cost-effective data architecture, working with multi-functional teams to lead the adoption and integration of AWS/Azure architecture services, and collaborating with data engineers to prepare and deliver raw data for prescriptive and predictive modeling* Assessing and advocating data management technologies … including SQL and Python* Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake ...

include designing secure, scalable, and cost-effective data architecture, working with multi-functional teams to lead the adoption and integration of AWS/Azure architecture services, and collaborating with data engineers to prepare and deliver raw data for prescriptive and predictive modeling Assessing and advocating data management technologies … including SQL and Python Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake ...