1 to 25 of 382 Permanent Kafka Jobs in the UK

Cloud Platforms: Experience with Cloud Platforms (i.e., AWS/GCP/Azure). Microservices Architecture: Exposure to microservices architecture and distributed systems. Message Brokers: Experience with Message Brokers (i.e., Kafka/RabbitMQ/IBM MQ). DevOps Principles: Understanding of DevOps principles and infrastructure as code tools (i.e., Terraform). Performance Tuning: Background in performance tuning, profiling, and monitoring More ❯

Cloud Platforms: Experience with Cloud Platforms (i.e., AWS/GCP/Azure). Microservices Architecture: Exposure to microservices architecture and distributed systems. Message Brokers: Experience with Message Brokers (i.e., Kafka/RabbitMQ/IBM MQ). DevOps Principles: Understanding of DevOps principles and infrastructure as code tools (i.e., Terraform). Performance Tuning: Background in performance tuning, profiling, and monitoring More ❯

like MS SQL, Sybase, Cassandra or Redis A real-world practitioner of applying cloud-native design patterns to event-driven microservice architectures. Exposure to high scale distributed technology like Kafka, Mongo, Ignite, Redis Exposure to building microservices and APIs ideally with REST, Kafka or gRPC Experience working in an agile development team or on open-source development projects. More ❯

and can support the team by demonstrating approaches such as CI/CD standard methodology, Pair Programming, TDD, and BDD. Technical understanding of: Spring boot, Maven, GitHub, Jenkins, JSON, Kafka, WMQ, REST APIs, Database SQL, Docker and Kubernetes Experience working on any one of the cloud-based tools - GCP, MS Azure, AWS Nice to have skills: Experience in Banking More ❯

Excellent communication and teamwork skills Preferred (Nice to Have): Experience working in the banking or financial services domain Knowledge of cloud platforms like AWS , Azure , or GCP Exposure to Kafka or other messaging systems Experience with Frontend frameworks (Angular/React) is a plus More ❯

you'll need Demonstrate a comprehensive understanding of the entire application stack, with both breadth and depth, and possess exposure to microservices technologies, particularly Java 17, Spring Boot, Maven, Kafka K Stream, as well as RESTful APIs and web services. Exhibit an excellent understanding of the software development lifecycle (preferably within the Agile Framework), validated through prior experience. Possess More ❯

skills and a pragmatic approach to delivering solutions. Desirable Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup environments or high-growth More ❯

Integration : Collaborate with front-end teams working with ReactJS, VueJS, Angular, TypeScript, and JavaScript to deliver seamless user experiences. Backend Expertise : Work with powerful backend technologies such as Apache Kafka, JMS, JTA, AMQP, and enterprise web services . Architecture Patterns : Implement event-driven architectures, microservices , and selectively utilize monolithic architectures when necessary. Work with serverless functions (Functions-as-a More ❯

Experience with NoSQL databases (e.g., MongoDB, Cassandra). • Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes). • Knowledge of event-driven or reactive architectures, messaging systems (Kafka, RabbitMQ), or domain-driven design (DDD). • Agile development experience using tools like Jira, Confluence, and participation in SAFe or Scrum environments. • Contributions to architecture governance, tech evaluations, or More ❯

Experience with NoSQL databases (e.g., MongoDB, Cassandra). • Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes). • Knowledge of event-driven or reactive architectures, messaging systems (Kafka, RabbitMQ), or domain-driven design (DDD). • Agile development experience using tools like Jira, Confluence, and participation in SAFe or Scrum environments. • Contributions to architecture governance, tech evaluations, or More ❯

level Java proficiency and modern development practices (CI/CD, microservices, REST/gRPC) Mid-level proficiency in C#, Python, or Rust Deep understanding of distributed systems, message queues (Kafka, RabbitMQ), and real-time processing Experience building enterprise-grade automation or logistics systems Hands-on experience with CoPilot, GPT-based tools, or AI Agent platforms Strong communication skills and More ❯

and can support the team by demonstrating approaches such as CI/CD standard methodology, Pair Programming, TDD, and BDD. Technical understanding of: Spring boot, Maven, GitHub, Jenkins, JSON, Kafka, WMQ, REST APIs, Database SQL, Docker and Kubernetes Experience working on any one of the cloud-based tools - GCP, MS Azure, AWS Nice to have skills: Experience in Banking More ❯

Hands-on knowledge in designing, writing, and reviewing high performant reactive clean code • Solid experience in building cloud native, event driven, scalable, distributed systems or services using .net, C#, Kafka, ELK Stack & Kubernetes Full stack experience with Front end development experience using HTML, VUE.js • Strong hands-on experience in performant and scalable database design in SQL, NOSQL and GRAPH More ❯

develop, and maintain high-performance, scalable, and secure Java applications. Write clean, efficient, and maintainable Java code following best practices. Develop microservices using Spring Boot. Handle asynchronous processing using Kafka or Message Queues (MQ). Design and optimize database schemas for MongoDB (NoSQL). Write and optimize complex SQL queries for relational databases. Write unit and integration tests using … independently while collaborating with cross-functional teams. Required Skills & Experience: Java Server-Side Concurrent Programming with Spring Boot (Core Spring) and JUnit. Understanding of message-based architectures (MQ/Kafka). Proficiency in RDBMS such as Sybase and/or DB2, with strong SQL query skills. Experience with Unix/Linux scripting (Shell/Python). Strong problem-solving … supported by the applications. Desirable Skills & Experience: Experience with MongoDB. Knowledge of the Equity Derivative business. Experience with cloud platforms (Azure/AWS). Exposure to Snowflake, IBM MQ, Kafka, or other high-performance data and caching technologies. Salary More ❯

Role - Senior Consultant Technology - Golang, Kafka, NoSQL databases, REST and SOAP API, Microservices, Angular/React/Node or similar frameworks Location - Burgess Hill, UK Compensation - Competitive (including bonus) Infosys is seeking a Lead Golang developer Required Qualifications Experienced Golang developer with at least 7 years of hands-on expertise for backend development Strong experience in building high-performance … low latency backend services Experience with systems like Kafka Proficiency in working with PostgreSQL, MySQL and NoSQL databases (MongoDB, Couchbase) Relevant experience in development in following technologies: Restful Services (JAX-RS), REST and SOAP API, Microservices Experience with Angular, React, NodeJS or similar frameworks Experience with Cloud platforms (e.g. AWS, Azure, GCP) is a plus Strong experience in Agile … etc.) Ability to work in team in diverse/multiple stakeholder environment Experience and desire to work in a Global delivery environment. Job description Role - Senior Consultant Technology - Golang, Kafka, NoSQL databases, REST and SOAP API, Microservices, Angular/React/Node or similar frameworks Location - Burgess Hill, UK Compensation - Competitive (including bonus) Infosys is seeking a Lead Golang More ❯

Java 8+), object-oriented principles, and design patterns. Experience with Spring Framework (Spring Boot, Spring MVC, Spring Data). Familiarity with RESTful APIs, microservices architecture, and messaging systems (e.g., Kafka, RabbitMQ). Hands-on experience with relational databases (e.g., PostgreSQL, Oracle, or SQL Server). Understanding of financial services concepts (e.g., payments, capital markets, or risk systems) is a More ❯

Java 8+), object-oriented principles, and design patterns. Experience with Spring Framework (Spring Boot, Spring MVC, Spring Data). Familiarity with RESTful APIs, microservices architecture, and messaging systems (e.g., Kafka, RabbitMQ). Hands-on experience with relational databases (e.g., PostgreSQL, Oracle, or SQL Server). Understanding of financial services concepts (e.g., payments, capital markets, or risk systems) is a More ❯

software engineering background: data structures, algorithms, distributed systems, and version control (Git). Knowledge of data-engineering concepts: SQL/noSQL, data pipelines (Airflow, Prefect), and streaming frameworks (Spark, Kafka). Strong communication skills-able to explain complex concepts to technical and non-technical stakeholders. Preferred (Nice-to-Have) Experience in early-stage startups or AI product development from More ❯

applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Cloud Preferred qualifications, capabilities and skills Experience with event-driven architectures and tools like Kafka for messaging and streaming Familiarity with orchestration frameworks like Temporal.io or similar workflow engines Knowledge of cloud-native technologies, including Kubernetes and containerization best practices. Experience optimizing database performance More ❯

serverless architectures (Lambda, Fargate, Cloud Run, et al.) and a clear understanding of when not to use them. Experience with message queues (SQS, PubSub, RabbitMQ etc.) and data pipelines (Kafka, Beam, Kinesis, etc.) You are an effective team player with effective communication, presentation and influencing skills. You have a passion for improving coding and development practices. You have worked More ❯

environment Experience delivering change through Build, Dev and QA to Production, using automation Technical Skills Java Development including Domain Driven Design, Test Driven Development and tech training presentation skills. Kafka, Mongo, Elastic Search and Redis Architecture and Design Skills Distributed Systems and architectural experience of microservices, event driven architectures and serverless. AWS Cloud including step functions, lambda and general More ❯

data from diverse sources, transform it into usable formats, and load it into data warehouses, data lakes or lakehouses. Big Data Technologies: Utilize big data technologies such as Spark, Kafka, and Flink for distributed data processing and analytics. Cloud Platforms: Deploy and manage data solutions on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), leveraging cloud … for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies and frameworks such as Databricks, Spark, Kafka, and Flink. Experience in using modern data architectures, such as lakehouse. Experience with CI/CD pipelines, version control systems like Git, and containerization (e.g., Docker). Experience with … and analytical skills with the ability to diagnose and resolve complex data-related issues. SQL (for database management and querying) Apache Spark (for distributed data processing) Apache Spark Streaming, Kafka or similar (for real-time data streaming) Experience using data tools in at least one cloud service - AWS, Azure or GCP (e.g. S3, EMR, Redshift, Glue, Azure Data Factory More ❯

a proactive approach to process improvement Essential skills include: Proficiency with modern test automation tools such as Apache JMeter, mabl, Testim.io, Testsigma, Selenium, Gatling, LoadRunner, Searchlight Knowledge of Apache Kafka, Kubernetes, Docker, GraphQL Experience with cloud platforms like Azure, AWS, or GCP, and data processing Familiarity with CI/CD pipelines and DevOps tooling GitHub proficiency Strong organizational, analytical More ❯

or Java. Client-side web apps are written in React, and some services in Clojure, Java and Go. Our platform consists of: Multiple Kubernetes Cluster for Container orchestration Apache Kafka and Redis shortly Postgres for event messaging Postgres for data storage OpenStack Swift for Object storage Juniper & Cisco networking devices A number of internally written tools for managing the More ❯

extensive and deep expertise in the following Application Development areas: Expertise in application architecture using modern technologies such as cloud native development, 12 factor Apps, microservices, serverless, API management, Kafka, etc. Deep knowledge of Microservices, Containers, REST APIs development, API Management tools (e.g. MuleSoft, Apigee), Kafka Solution architect with broad expertise in a wide range of digital technologies More ❯