1 to 25 of 207 Kafka Jobs in the UK excluding London

Git, Maven, Jenkins, CI/CD) Excellent communication and teamwork skills Bonus Points For Experience in payments, financial services, or fraud detection Familiarity with Big Data tools (Hadoop, Spark, Kafka) Exposure to cloud-native architecture (AWS, GCP, Azure) Understanding of TDD/BDD and modern testing frameworks What's On Offer Hybrid Working - Flexibility with 2 remote days per More ❯

Qualifications Familiarity with cloud platforms (AWS, Azure, or GCP) and serverless architecture. Knowledge of CI/CD pipelines and DevOps practices. Experience with message queues and streaming platforms (e.g., Kafka, AmazonMQ). Strong understanding of data modelling and API versioning. More ❯

working in or contributing to a Centre of Excellence team Excellent communication and collaboration skills across multidisciplinary teams Desirable Attributes Exposure to microservices architecture and event-driven systems (e.g., Kafka) Experience with design systems and component libraries (e.g., Material, Storybook) Familiarity with observability tools and performance tuning Prior consulting experience or experience in client-facing roles Engagement Model Outside 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 ❯

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 ❯

technical solutions in an Agile environment. Technical Proficiency: Deep technical expertise in software and data engineering, programming languages (python, java etc.). Understanding of orchestration (Composer, DAGs), data processing (Kafka, Flink, DataFlow, dbt), and database capabilities (e.g. BigQuery, CloudSQL, BigTable). Container technologies (Docker, Kubernetes), IaaC (Terraform) and experience with cloud platforms such as GCP. CI/CD: Detailed More ❯

technical solutions in an Agile environment. Technical Proficiency: Deep technical expertise in software and data engineering, programming languages (python, java etc.). Understanding of orchestration (Composer, DAGs), data processing (Kafka, Flink, DataFlow, dbt), and database capabilities (e.g. BigQuery, CloudSQL, BigTable). Container technologies (Docker, Kubernetes), IaaC (Terraform) and experience with cloud platforms such as GCP. CI/CD: Detailed 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 ❯

building sophisticated plots/charting (Plotly, Matplotlib) and reporting systems (PowerBI). Experience of failure prediction/MTBF analysis. Experience with Manufacturing Resource Planning systems. Experience developing systems with Kafka and stream processing techniques. Experience with Linux and running containers on Kubernetes. Experience with cloud technologies e.g. Microsoft Azure, AWS, or Google Cloud. Personal Attributes: Self-motivated with high 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 ❯

priorities Preferred Qualifications Experience with SpringBoot and the broader Spring ecosystem Knowledge of non-relational databases (e.g., DynamoDB), and caching solutions (Redis, Memcached) Experience with streaming technologies like Apache Kafka or Amazon Kinesis Familiarity with Terraform, Docker, and Kubernetes Proficiency in at least one major cloud platform (AWS, Azure, or GCP) Exposure to performance tuning and testing of distributed More ❯

priorities Preferred Qualifications Experience with SpringBoot and the broader Spring ecosystem Knowledge of non-relational databases (e.g., DynamoDB), and caching solutions (Redis, Memcached) Experience with streaming technologies like Apache Kafka or Amazon Kinesis Familiarity with Terraform, Docker, and Kubernetes Proficiency in at least one major cloud platform (AWS, Azure, or GCP) Exposure to performance tuning and testing of distributed More ❯

or contributing to a Centre of Excellence team Excellent communication skills and ability to collaborate across multidisciplinary teams Desirable Attributes Exposure to event-driven architectures and messaging systems (e.g., Kafka) Experience with Infrastructure as Code (e.g., Terraform, Ansible) Familiarity with observability tools and performance tuning Ability to mentor junior engineers and contribute to backend design leadership Prior consulting experience More ❯

to the likes of CI/CD, Kubernetes & Docker. Experience with cloud platforms ideally AWS. Experience of multiple development technologies, ideally including Java, JavaScript, Node.js, React, Spring/Springboot, Kafka, AWS, Python, Jenkins, GitLab, microservices, secure RESTful API's, JSON, API Gateways, event-driven architectures, messaging. Technical knowledge of Oracle Retail Cloud Applications such as MFCS, OIC, Smart Item More ❯

years' experience working as a Software Engineer on large software applications Proficient in many of the following technologies - Python, REST, PyTorch, TensorFlow, Docker, FastAPI, Selenium, React, TypeScript, Redux, GraphQL, Kafka, Apache Spark. Experience working with one or more of the following database systems - DynamoDB, DocumentDB, MongoDB Demonstrated expertise in unit testing and tools - JUnit, Mockito, PyTest, Selenium. Strong working More ❯

MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong containerization and orchestration skills (Docker, Kubernetes) Experience with infrastructure as code (Terraform, CloudFormation) Expertise in More ❯

experience with Core Java, JEE technologies, and modern web frameworks Proven track record in designing and deploying REST/SOAP APIs using JSON and XML Hands-on experience with Kafka (setup, maintenance, stream processing) Proficiency with containerisation tools such as Docker and Kubernetes Strong working knowledge of RDBMS (SQL Server, Oracle, DB2) and/or NoSQL (e.g., MongoDB) Experience More ❯

cost efficiency DevOps & CI/CD : Familiar with tools like GitHub, Terraform, Docker, Kubernetes, and automated testing and monitoring. Data & Integration : Skilled in data modelling, APIs, messaging systems (e.g., Kafka), and ETL pipelines. Security & Compliance : Knowledge of secure design, identity management, and regulatory standards (e.g., GDPR). Problem Solving : Proven ability to lead teams in diagnosing and resolving complex 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 ❯

MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong containerization and orchestration skills (Docker, Kubernetes) Experience with infrastructure as code (Terraform, CloudFormation) Expertise in More ❯

Docker, Terraform, Bash scripting Middleware: IBM ACE or JMS/web services experience. Kibana, ELK, Elastic Search Working knowledge of User interface technologies (React, Node.js etc.) Experience with Apache Kafka or similar event streaming platforms Bachelor's degree in computer science, Software or Electronic engineering or other related discipline. Conversant with the modern Java and Linux development frameworks and More ❯

and impactful. Experience we're looking for: Experienced in designing and developing full stack solutions with Java, Spring boot and ideally React (or similar) Microservices Architecture Messaging technologies e.g Kafka, RabbitMQ OR ActiveMQ Familiar with Cloud platforms (AWS, Kubernetes, Docker) Experienced of working within an Agile Product team alongside scrum masters and product owners Strong communication skills and the More ❯

highly scalable applications Database and Messaging - SQL (Joins, Indexing, Transactions), NoSQL (Mongo, Cassandra, CAP Theorem), SQL Queries, Query Optimization Caching Framework - Concepts, Types of Caching, Principles of caching, Messaging - Kafka, Solace You may be assessed on key skills such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical More ❯

Expert (SME) in at least one area of Applications Development Experience in any number of additional technologies (listed below) is advantageous: Kotlin Cloud Technologies (Kubernetes, Open Shift) Messaging Technologies (Kafka, Solace, TIBCO) Database/Data Store/Data Query Technologies (SQL Server, Trino, Mongo, S3) Observability Technologies (OpenTelemetry, Elastic Stack/ELK, Grafana) This job description provides a high More ❯

software development using Java, Kotlin , or similar. Experience working with frameworks and tools such as Spring Boot, Spring WebFlux, or Project Reactor . Practical experience and understanding of Apache Kafka . Experience with both RDBMS and NoSQL databases , e.g. PostgreSQL, DynamoDB Experience building on AWS or other public cloud platforms. Strong experience of working with a modern development toolchain More ❯