13 of 13 Permanent Kafka Jobs in Edinburgh

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 ❯

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 ❯

lots 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, Microservices, Kubernetes, Kafka, AWS and more! Although experience with all of this is great, the organisation is much more interested in collaborative Engineers who can bring strong soft skills to the team More ❯

AWS ) but they do have a dedicated frontend specialist, so there is opportunity to pick up some frontend experience here. You'll be actively working with Java ( Spring ), AWS, Kafka and Kubernetes, amongst a few other technologies. You'll be regularly involved in feature design meetings, where you'll be able to suggest and help implement technologies the team More ❯

the following areas, please get in touch React and Node.js frontend web application development Sever-side rendering technologies e.g. Next.js Database technologies e.g. PostgreSQL Messaging technologies e.g. ActiveMQ or Kafka Continuous Integration and Continuous Deployment Cloud platforms, e.g. AWS, and Kubernetes platforms e.g. OpenShift Who you'll be working with Working in an agile product team typically aligned to More ❯

the following areas, please get in touch React and Node.js frontend web application development Sever-side rendering technologies e.g. Next.js Database technologies e.g. PostgreSQL Messaging technologies e.g. ActiveMQ or Kafka Continuous Integration and Continuous Deployment Cloud platforms, e.g. AWS, and Kubernetes platforms e.g. OpenShift Who you'll be working with Working in an agile product team typically aligned to More ❯

native application development. Desirable Skills: Microservices architecture and cloud deployment patterns. Modern application configuration techniques. Experience with distributed state sharing and caching. Knowledge of various DB engines (SQL, Redis, Kafka). Experience with Generative AI and LLM-based applications. Familiarity with AI agents and orchestration frameworks (LangChain, LangGraph). Experience with embeddings and fine-tuning GenAI models. Understanding of More ❯

in data engineering or a related field, with a focus on building scalable data systems and platforms. Expertise in modern data tools and frameworks such as Spark, dbt, Airflow, Kafka, Databricks, and cloud-native services (AWS, GCP, or Azure) Understanding of data modeling, distributed systems, ETL/ELT pipelines, and streaming architectures Proficiency in SQL and at least one More ❯

and technologies: React and Typescript for our frontend Jest for tests SwiftUI for our Driver iOS App Python for our backend code Postgres for data storage Redis for caching Kafka for stream processing AWS, Terraform, GitLab CI/CD, Docker and ECS to deploy and run our services Flutter for our on-board server running Android, which handles concession More ❯

chargers, calculating ETAs, monitoring traffic and keeping passengers informed. We rely on the following tools and technologies: Python for our backend code Postgres for data storage Redis for caching Kafka for stream processing React for our frontend Clickhouse for analytics SwiftUI for our Driver iOS App AWS, Terraform, GitLab CI/CD, Docker and ECS to deploy and run More ❯