11 of 11 Kafka Jobs in Scotland

GitLab CI, GitHub Actions, etc.).Strong understanding of security principles and performance tuning.Excellent problem-solving, communication, and leadership skills. Nice to Have Experience with GraphQL and API Gateway.Exposure to Kafka, RabbitMQ, or other messaging frameworks.Familiarity with automated testing frameworks (JUnit, Jest, Cypress).Knowledge of DevOps practices and Infrastructure as Code (Terraform, Ansible). More ❯

performance, scalability and security What you'll bring Strong hands-on experience with Java (23+) and Spring Boot Knowledge of RESTful API design, JSON and Web Services Experience of Kafka and Dockerised development Background in Test Driven Development using tools such as JUnit or Mockito Understanding of clean code principles, SOLID design and modern engineering practices Familiarity with Git More ❯

effective test cases, including unit tests, regression tests, and performance tests. • Extensive hands-on experience with Micro Services, REST/GraphQL API development using Java, Spring Boot and leveraging Kafka for integration with applications. • Hands-on experience with UI modern technologies like ReactJS and/or AngularJS • Hands-on experience in database development with technologies such as Oracle, Cassandra. More ❯

respect Design, build, and maintain automation frameworks for trading systems covering UI, API, and microservices layers Ensure quality across low-latency applications, FIX protocol-based APIs, and messaging middleware (Kafka, MQ, or GraphQL) Integrate test automation into CI/CD pipelines using Jenkins for continuous validation and deployment Execute performance testing processes, collaborating with teams across Lines of Business More ❯

What you bring: 8-10+ years of professional experience in software engineering You have strong technical skills and solid conceptual foundations. Experience with Typescript, React, CSS, Node.js, gRPC, Kafka, Mongo DB, GraphQL. You're passionate about Distributed Software, Cloud solutions, Microservices, Domain Driven & Serverless Architectures . You are committed to building highly reliable & scalable systems. You are eager More ❯

GitLab/Azure DevOps), ATF , automated quality gates, and environment strategy. Familiarity with identity and access management (SSO/SAML/OIDC, SCIM), and enterprise integration tooling (e.g., MuleSoft , Kafka/Event Bus). ITIL v4 certification or equivalent practical experience. Self-motivated, results-oriented, with strengths in critical thinking and strategic problem-solving. More ❯

and influencing the overall data strategy. The ideal person for this role will have a strong background in data engineering , with experience building modern data solutions using technologies like Kafka , Spark , Databricks , dbt , and Airflow . You'll know your way around cloud platforms (AWS, GCP, or Azure) and be confident coding in Python , Java , or Scala . Most More ❯

and influencing the overall data strategy. The ideal person for this role will have a strong background in data engineering , with experience building modern data solutions using technologies like Kafka , Spark , Databricks , dbt , and Airflow . You'll know your way around cloud platforms (AWS, GCP, or Azure) and be confident coding in Python , Java , or Scala . Most More ❯

They foster a collaborative, forward-thinking culture where engineers work on large-scale datasets, distributed systems, and modern cloud platforms. Teams leverage cutting-edge tools such as Spark, Airflow, Kafka, dbt, and Databricks to build resilient, scalable, and high-quality data solutions. Why this role? ** Lead a talented team of data engineers delivering high-quality, reliable data systems. ** Shape More ❯

They foster a collaborative, forward-thinking culture where engineers work on large-scale datasets, distributed systems, and modern cloud platforms. Teams leverage cutting-edge tools such as Spark, Airflow, Kafka, dbt, and Databricks to build resilient, scalable, and high-quality data solutions. Why this role? ** Lead a talented team of data engineers delivering high-quality, reliable data systems. ** Shape More ❯

They foster a collaborative, forward-thinking culture where engineers work on large-scale datasets, distributed systems, and modern cloud platforms. Teams leverage cutting-edge tools such as Spark, Airflow, Kafka, dbt, and Databricks to build resilient, scalable, and high-quality data solutions. Why this role? ** Lead a talented team of data engineers delivering high-quality, reliable data systems. ** Shape More ❯