10 of 10 Kafka Jobs in Scotland

desirable Knowledge of containerisation (Docker, Kubernetes) desirable Strong problem-solving skills and attention to detail Nice to Have Experience with messaging systems (Kafka, RabbitMQ, ActiveMQ) Knowledge of investment banking, retail banking, or payments domain Familiarity with regulatory frameworks (FCA, Basel III, MiFID II) Experience with Agile methodologies (Scrum, SAFe ...

desirable Knowledge of containerisation (Docker, Kubernetes) desirable Strong problem-solving skills and attention to detail Nice to Have Experience with messaging systems (Kafka, RabbitMQ, ActiveMQ) Knowledge of investment banking, retail banking, or payments domain Familiarity with regulatory frameworks (FCA, Basel III, MiFID II) Experience with Agile methodologies (Scrum, SAFe ...

deployment pipeline Design Principl es: Strong grasp of software design principles and patter Preferred Experience with public cloud platforms (AWS, Azure, Gxp) Familiarity with Kafka, MQ, or other streaming service Exposure to AI-assisted development tools such as Co-pilot ...

Python for automation, integrations, or agent development * Designing SLOs/SLIs across distributed systems * Observability tooling (e.g., Grafana, alerting, synthetic monitoring) * Event-driven architecture (Kafka, Splunk, REST APIs, webhooks) * Cloud security best practices (RBAC, encryption, Private Endpoints) * Strong communication and stakeholder engagement skills Interested? Please send your ...

deployment pipeline Design Principl es: Strong grasp of software design principles and patter Preferred Experience with public cloud platforms (AWS, Azure, Gxp) Familiarity with Kafka, MQ, or other streaming service Exposure to AI-assisted development tools such as Co-pilot ...

Skilled in Spring Boot, Hibernate, Microservices, Docker, Kubernetes, JPA, MySQL, SQL Server, Snowflake, REST API, Apache Kafka, Jenkins, CI/CD, Python, Machine Learning, Data Analytics. Leveraging GitHub Copilot to enhance productivity and reduce delivery timelines. Mandatory skills: Java, Snowflake, MongoDB, Kafka Core Competencies Languages: Java (717), Python … Frameworks: Spring Boot 3.x, Hibernate, JPA, Microservices, Apache Kafka, Docker, Kubernetes, API gateways, JWT, Spring MVC, Spring Cloud etc. Tools: Jenkins, Maven, Gradle, Git, SonarQube, check style, Spotless, GitLab, Bitbucket, etc. Databases: MySQL, SQL Server, Oracle, MongoDB, Snowflake, Derby Reporting tools: Aqua scan, Checkmarks, SonarQube, Datadog, Soda, SSRS, etc. ...

Stack: You'll need extensive experience in complex software development, with a strong background in Java and Oracle . The platform also uses: Apache Kafka Spring Kubernetes If you have a strong technical background and are looking for a significant role in a high-profile greenfield project, please ...

quality standards, and effective stakeholder engagement. Desirable Qualifications Advanced architectures: Data mesh, data fabric, real-time/event-driven systems Modern tools: Databricks, Snowflake, Kafka, dbt Cloud engineering maturity: CI/CD, Infrastructure as Code, DataOps, containers AI/ML enablement: Supporting MLOps and advanced analytics platforms Analytics expertise ...

quality standards, and effective stakeholder engagement Desirable Qualifications Advanced architectures: Data mesh, data fabric, real-time/event-driven systems Modern tools: Databricks, Snowflake, Kafka, dbt Cloud engineering maturity: CI/CD, Infrastructure as Code, DataOps, containers AI/ML enablement: Supporting MLOps and advanced analytics platforms Analytics expertise ...

quality standards, and effective stakeholder engagement Desirable Qualifications Advanced architectures: Data mesh, data fabric, real-time/event-driven systems Modern tools: Databricks, Snowflake, Kafka, dbt Cloud engineering maturity: CI/CD, Infrastructure as Code, DataOps, containers AI/ML enablement: Supporting MLOps and advanced analytics platforms Analytics expertise ...

quality standards, and effective stakeholder engagement Desirable Skills Advanced architectures: Data mesh, data fabric, real‐time/event‐driven systems Modern tools: Databricks, Snowflake, Kafka, dbt Cloud engineering maturity: CI/CD, Infrastructure as Code, DataOps, containers AI/ML enablement: Supporting MLOps and advanced analytics platforms Analytics expertise ...