1 to 25 of 68 Remote Kafka Jobs in the UK excluding London

will extensive and deep expertise in 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 wide range of digital technologies in areas More ❯

responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps environments . Strong understanding of security principles More ❯

responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps environments . Strong understanding of security principles More ❯

responsibilities . Proven experience with: Java 11+/Spring Boot/Spring Cloud Microservices and containerisation (Docker, Kubernetes, OpenShift) Cloud platforms (AWS, Azure, or GCP) Messaging and integration technologies (Kafka, ActiveMQ, REST, GraphQL) Databases (SQL and NoSQL) Familiarity with enterprise integration patterns and secure system design. Experience working in Agile/DevOps environments . Strong understanding of security principles 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 ❯

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 ❯

of opportunity for a varied workload, and a chance to pick up different tools and technologies. They work with a really modern tech stack; Java, SpringBoot, PostgreSQL, Microservices, Kubernetes, Kafka, AWS and Reactjs + TypeScript. Although experience with all of this is great, the organisation is more interested in collaborative Engineers who can bring strong soft skills to the More ❯

of opportunity for a varied workload, and a chance to pick up different tools and technologies. They work with a really modern tech stack; Java, SpringBoot, PostgreSQL, Microservices, Kubernetes, Kafka, AWS and Reactjs + TypeScript. Although experience with all of this is great, the organisation is more interested in collaborative Engineers who can bring strong soft skills to the More ❯

principles and design patterns. Using ALM tools like Azure DevOps to organise and track your work. High competency in written and oral English language. Desirable Experience developing systems with Kafka and stream processing techniques. Familiarity with MATLAB and Python for mathematical processing. Experience with Linux and running containers on Kubernetes. Experience designing distributed microservice based architectures. Web development experience More ❯

skills, able to motivate and align technical teams. Experience with AI tools, APIs, or ML pipelines is highly desirable. Bonus: exposure to containerisation (Docker/Kubernetes), event-driven architecture (Kafka/RabbitMQ), or startup environments. What We Offer Hybrid working as standard 25 days annual leave + bank holidays Flexible holiday scheme Paid time off to move home Contributory More ❯

Microservices architecture, and RESTful APIs. Strong understanding of multi-threading, concurrency, and performance optimization. Knowledge of SQL and database technologies (PostgreSQL, MySQL, or similar). Experience with messaging systems (Kafka, RabbitMQ) is a plus. Exposure to cloud platforms such as AWS, Azure, or GCP. Strong problem-solving skills and a keen attention to detail. Experience in financial services or More ❯

Microservices architecture, and RESTful APIs. Strong understanding of multi-threading, concurrency, and performance optimization. Knowledge of SQL and database technologies (PostgreSQL, MySQL, or similar). Experience with messaging systems (Kafka, RabbitMQ) is a plus. Exposure to cloud platforms such as AWS, Azure, or GCP. Strong problem-solving skills and a keen attention to detail. Experience in financial services or More ❯

Microservices architecture, and RESTful APIs. Strong understanding of multi-threading, concurrency, and performance optimization. Knowledge of SQL and database technologies (PostgreSQL, MySQL, or similar). Experience with messaging systems (Kafka, RabbitMQ) is a plus. Exposure to cloud platforms such as AWS, Azure, or GCP. Strong problem-solving skills and a keen attention to detail. Experience in financial services or More ❯

SIEM Experience with Elastic Stack (ELK) Knowledge of ArgoCD, Terraform Knowledge CI/CD tools Ansible, Circle CI, Jenkins, Parker, Terraform Knowledge of Offensive testing frameworks Message processing using Kafka, Rabbit MQ Knowledge of Linux, Windows and Network Administration Knowledge and experience of cloud services (public or private), OpenStack and K8S DevOps qualifications Knowledge of Telecoms Security Act (TSA More ❯

across full-stack solutions with real-world impact Your Tech Arsenal Frontend: React.js (Hooks, Context API), TypeScript, Redux, Cypress, Jest Backend: Java 11+, Spring Boot, RESTful APIs, Microservices, PostgreSQL, Kafka Cloud & DevOps: AWS (EKS, MSK, Opensearch), CI/CD (Jenkins), Monitoring (CloudWatch, Kibana) Why You'll Love It Here Remote-First Culture - Work from anywhere in the UK? Flexible More ❯

users. Ensure your code as unit test coverage. Essential Skills C#, .NET 6.0. ReactJS, HTML, CSS, MaterialUI. Gitflow source code management. Event driven architecture - experience with one of SQS, Kafka, Azure Service Bus, Rabbit MQ. Microservice development. Typescript Cloud native development (AWS, Azure, GCP) CI/CD. NoSQL data modelling and access patterns Important Skills AWS: familiarity with S3 More ❯

stack solutions with real-world impact Your Engineering Toolkit Frontend: React.js (Hooks, Context API, Lifecycle) TypeScript & ES6+ Redux, Cypress, Jest Backend: Java 11+, Spring Boot RESTful APIs, Microservices PostgreSQL, Kafka Cloud & DevOps: AWS (EKS, MSK, Opensearch) CI/CD with Jenkins Monitoring: CloudWatch, Kibana Why You'll Love It Here Remote-First Culture: Work from anywhere in the UK More ❯

stakeholders Drive innovation across full-stack solutions Your Toolkit Frontend: React.js (Hooks, Context API, Lifecycle) TypeScript & ES6+ Redux, Cypress, Jest Backend: Java 11+, Spring Boot RESTful APIs, Microservices PostgreSQL, Kafka Cloud & DevOps: AWS (EKS, MSK, Opensearch) CI/CD with Jenkins Monitoring: CloudWatch, Kibana Why You'll Love Working Here Remote-First Culture: Work from anywhere, with minimal onsite More ❯

Databases (ideally SQL Server) ** Cloud Services (Azure, AWS or GCP) ** HTML, CSS and JavaScript (ideally Angular or Reactjs). The following is highly desirable; ** Microservices ** Elastic Search or Apache Kafka ** Experience or interest with AI Salary for this role ranges from £52k to £58k (there may be some flex), and they're ideally looking for hybrid working in Edinburgh More ❯

Rust, Java, etc.). Strong background in Azure cloud application development, including security, observability, storage, and database resources. Solid understanding of data engineering tools and technologies (Databricks, PySpark, Lakehouses, Kafka). Advanced mathematics and quantitative analysis skills, ideally with hands-on experience in probabilistic modeling and the valuation of financial derivatives. Domain expertise in derivatives within energy commodities-especially More ❯

as Spring/Spring Boot. You bring solid cloud experience (preferably AWS) and are confident working with Kubernetes and Docker . You’re skilled with messaging systems and APIs (Kafka, ActiveMQ, JMS, REST, CometD). You have hands-on experience with databases (DB2, MongoDB, MySQL). You understand caching technologies . You’re familiar with build tools (Maven), web More ❯

developer with proven professional software development experience, ideally within the betting and gaming industry Have technical understanding of Java ecosystem and adjacent technologies, with familiarity in Spring Boot and Kafka Be Proficient in engineering technologies such as Docker, Kubernetes, and GitLab CI and Experience with Python, especially in scripting or data processing Have desirable knowledge of AWS services (e.g. More ❯

work from home on Fridays. About you: You have strong full stack web development experience using TypeScript and Node.js You understand AWS, microservices, APIs, Event Driven systems, Data Streaming (Kafka), DevOps environments, CI/CD pipelines and how to deploy to the cloud, they use CloudFlare You're happy to do some front end work with React You have More ❯

enhancements to complex Payments and client systems within a microservices environment (300 services). You'll be working with a modern tech stack using C# .Net Core, AWS, Kubernetes, Kafka, Redis and TypeScript/Angular; using the right tool for the job, you'll be able to pick up new technologies and make recommendations for improvements. WFH Policy: You More ❯

Candidate Profile: Proven experience as a Data Engineer, with strong expertise in designing and managing large-scale data systems. Hands-on proficiency with modern data technologies such as Spark, Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake More ❯