51 to 75 of 216 Kafka Jobs in England

with distributed systems and troubleshooting at scale Hands-on knowledge of containers/orchestration (Kubernetes, Nomad, or similar) Experience with messaging systems such as Kafka, ActiveMQ, or similar Understanding of observability, monitoring, and tracing concepts Strong DevOps/CI/CD mindset Background in financial services or other mission ...

NVIDIA Container Toolkit, Run:AI) Architectural styles Microservices: Serverless Edge compute APIs (both RESTful and Protobuf GRPC) Stream based pub/sub systems (including Kafka and MQTT) DevSecOps tooling: Version control (e.g. Git) Continuous Integration/Deployment (e.g. Gitlab CI/CD) Infrastructure as code (e.g. Terraform, Puppet, Ansible ...

Ability to diagnose and resolve performance issues Strong communication skills +AngularJS and AWS for the role in Leeds Nice to have Message queueing systems (Kafka, SQS) Serverless technologies (e.g., AWS Lambda) Monitoring tools (Dynatrace, ELK, Splunk) JPA/Hibernate Swagger/OpenAPI Testing tools (Selenium, Postman, etc.) Experience delivering ...

NVIDIA Container Toolkit, Run:AI) Architectural styles Microservices Serverless Edge compute APIs (both RESTful and Protobuf GRPC) Stream based pub/sub systems (including Kafka and MQTT) DevSecOps tooling Version control (e.g. Git) Continuous Integration/Deployment (e.g. Gitlab CI/CD) Infrastructure as code (e.g. Terraform, Puppet, Ansible ...

high-scalability, microservices, 12-factor apps, CI/CD, heavy testing automation and observability. TDD, BDD and Contract testing. Knowledge of tools such as Kafka, Kubernetes or Docker Working in a DevOps environment, or passion and willingness to work in this way. Proven delivery of well-tested, scalable, fault ...

high‐performance analytics across multiple engines. Programming: Expert‐level proficiency in Java , Python and SQL . Big Data & Orchestration: Hands‐on experience with Spark, Kafka, and orchestration tools like Apache Airflow, Dagster, or dbt. Data Modeling: Deep understanding of data warehousing and modern data lakehouse architecture. Leadership & Soft Skills ...

schemes, message transformations (XML/JSON), and payment routing/validation. Implement integration patterns using Mule ESB or similar middleware , messaging, and Kafka . Own architecture decisions, design reviews, and technical standards adherence. Drive quality engineering: TDD/BDD , JUnit, Cucumber, secure coding, CI/CD enforcement. Collaborate with ...

similar) Confident troubleshooting complex, distributed production systems Nice to have (not essential) Experience building internal developer platforms or self‐service tooling Exposure to Kafka, Postgres, Redis, or similar data infrastructure Experience operating in security‐ or compliance‐sensitive environments Background in high‐throughput, low‐latency, or real‐time systems ...

Essential Skills for the Principal .NET Engineer: Deep hands-on expertise in ASP.NET Core, Web API, C#, Entity Framework Strong experience with Azure, Kubernetes, Kafka and Microservices architecture Experience with MongoDB, cloud integrations and distributed systems Strong knowledge of JavaScript/TypeScript Experience using Terraform/Infrastructure as Code ...

cloud services (e.g., ECS, S3, RDS, Lambda) and a solid understanding of cloud architecture. Familiarity with event-driven systems and messaging frameworks (e.g., Kafka, RabbitMQ) is a plus. Excellent problem-solving skills, with the ability to work in a dynamic and evolving environment. Strong communication and collaboration abilities, with ...

Microsoft 365 and exposure to AI productivity tooling is advantageous Desirable Experience: Vector databases and embedding-based pipelines Real-time data streaming technologies (e.g. Kafka, Flink) RPA tools such as UiPath or Power Automate Data transformation tools such as dbt Exposure to modern AI tooling and frameworks (e.g. Claude ...

orchestration , including prompt design, tool usage, context management, and agent memory Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks Solid foundation in distributed system design , including state management, retries, error handling, and resilience Experience with business process automation or workflow ...

orchestration , including prompt design, tool usage, context management, and agent memory Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks Solid foundation in distributed system design , including state management, retries, error handling, and resilience Experience with business process automation or workflow ...

PowerFX, PowerShell Source control and containerization: TFVC, Git, Docker Tools: Azure IPAAS, Azure ML, Dataverse, PowerApps, Power Automate, SQL Server Administration, Fabric, Kafka, Copilot Studio, Azure AI Services, Ollama Integration: REST/SOAP APIs, solution performance analysis Functional knowledge of D365 FSCM modules (General Ledger, Inventory, Production, Procurement ...

Lambda, S3, etc. Strong communication skills and a bias toward action and opinionated design decisions. Nice to Have: Familiarity with messaging systems (Kafka, RabbitMQ, etc.) Prior experience in Payments Processing, financial services, or banking systems. Exposure to container security and performance tuning on OpenShift. Knowledge of payment gateways ...

moving towards a cloud-first architecture with a strong focus on AWS, working with technologies such as Java/Spring, AWS Lambda, Node.js, Kafka, SQL/NoSQL databases, and more. Key Tasks Work within a small, collaborative team using agile methodologies and practices Take ownership of applications across ...

development teams• A collaborative approach, with clear communication and thoughtful decision-making around quality, risk, and deliveryEvent-driven systems and messaging technologies (for example Kafka or SNS/SQS)• Frontend development experience, such as React• Working in polyglot environments (such as TypeScript or Python)• Containers, Kubernetes, infrastructure as code ...

caring about the quality of what you build + doing some really cool stuff with AI! Stack: Java, Spring Boot microservices, React, Node.js, PostgreSQL, Kafka, ActiveMQ, Kubernetes, AWS - and they're actively embracing AI tooling in day-to-day engineering. What they're looking for Solid Java background, ideally ...

senior stakeholders to align technology with business goals Essential Skills for the Principal Java Engineer: Deep hands-on expertise in Java, Spring Boot, Microservices, Kafka and AWS Strong understanding of software architecture and scalable system design Experience leading development of high-performance distributed systems Proven experience in a Principal ...

senior stakeholders to align technology with business goals Essential Skills for the Principal Java Engineer: Deep hands-on expertise in Java, Spring Boot, Microservices, Kafka and AWS Strong understanding of software architecture and scalable system design Experience leading development of high-performance distributed systems Proven experience in a Principal ...

communication protocols: TCP/IP, UDP, REST, gRPC, SignalR Familiarity with RESTful API design Experience with event‐driven architectures and tools like RabbitMQ or Kafka Strong background in microservices and containerisation (Docker, Kubernetes) Proficiency with databases such as SQL Server, PostgreSQL, Redis , and EF Core Confident with ...

develop this) Ambition to move into team leadership/people management Nice to have: Experience with PySpark/Databricks Experience with streaming technologies like Kafka or AWS Kinesis Knowledge of data governance and quality frameworks ...

continuous improvement Manage capacity planning, skills development, and vendor contributions The individual: Expertise in Azure data services (ADLS, ADF, Databricks, Synapse, Event Hub/Kafka), Python, SQL, Spark/PySpark. Experience with data modeling, metadata and lineage tooling; performance & cost optimization. Proven leadership in engineering teams; Agile/DevOps ...

continuous improvement Manage capacity planning, skills development, and vendor contributions The individual: Expertise in Azure data services (ADLS, ADF, Databricks, Synapse, Event Hub/Kafka), Python, SQL, Spark/PySpark. Experience with data modeling, metadata and lineage tooling; performance & cost optimization. Proven leadership in engineering teams; Agile/DevOps ...

working in a diverse technical environment that includes tools and platforms such as Java, Python, Jenkins, Docker, Kubernetes, Prometheus, Kibana, Dynatrace, Postgres, Tomcat, Kafka, Elastic Stack, Spring Boot, and more. The wider stack also includes legacy and modern components, so adaptability and a willingness to learn will be important. ...