1 to 25 of 60 Kafka Jobs in Scotland

Maven/Gradle). Desirable skills: Scala: Hands-on experience or a strong functional programming background using Scala. Big Data: Exposure to Apache Spark, Kafka, or Hadoop ecosystems. Cloud: Experience with AWS, Azure, or Google Cloud Platform. Experience in banking or financial services industry. Soft Skills Strong problem-solving ...

REST API design and implementation Microservices and distributed system design SQL databases with strong query optimisation skills NoSQL databases Messaging technologies such as Kafka or RabbitMQ Docker and containerised application development Cloud platforms (AWS, Azure or GCP CI/CD pipelines using tools such as Jenkins or GitLab ...

microservices and integrated services using Java, REST, Spring Boot/Cloud, Redis, Hibernate, with experience of Kubernetes and Docker, messaging technologies such as JMS, Kafka or RabbitMQ, and cloud-native platforms including AWS, S3, EKS.Experience using modern CI/CD tooling (e.g. Java IDEs, Maven, Git, GitLab CI, Artifactory ...

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 ...

public cloud environments, preferably AWSExperience designing cloud-native, microservices, and event-driven architecturesStrong grasp of CI/CD pipelines, SQL/NoSQL databases, Kafka, and Java StreamingFamiliarity with infrastructure-as-code (e.g., CloudFormation), distributed systems, and secure design practicesBonus Points ForExperience using GitLab for CI/CD pipelines ...

public cloud environments, preferably AWSExperience designing cloud-native, microservices, and event-driven architecturesStrong grasp of CI/CD pipelines, SQL/NoSQL databases, Kafka, and Java StreamingFamiliarity with infrastructure-as-code (e.g., CloudFormation), distributed systems, and secure design practicesBonus Points ForExperience using GitLab for CI/CD pipelines ...

REST API design and implementation Microservices and distributed system design SQL databases with strong query optimisation skills NoSQL databases Messaging technologies such as Kafka or RabbitMQ Docker and containerised application development CI/CD pipelines using tools such as Jenkins or GitLab CI Git and modern software development workflows ...

experience building and maintaining microservices using Spring Boot, including RESTful API development, dependency injection, security implementation, and integration with cloud-native and distributed systems. Kafka - Strong knowledge of event-driven architecture and real-time data streaming using Apache Kafka. Experience designing, developing, and supporting producer and consumer applications, ensuring ...

tools such as Jenkins or Azure DevOps. Experience delivering scalable, high-quality digital solutions. Desirable Experience Consultancy, Government or NHS project experience. Knowledge of Kafka or other messaging systems. Knowledge of Helm. What's on Offer Competitive pension scheme. 25 days annual leave plus public holidays. Flexible benefits package ...

using Java and Spring Working knowledge and experience in frontend development using React and front-end testing frameworks Experience with messaging platforms such as Kafka Familiarity with automation and continuous delivery methods Solid understanding of the Software Development Life Cycle Working knowledge of agile methodologies such as continuous integration ...

disciplines. Bachelor's degree in Computer Science, Information Technology, or a related discipline, or equivalent practical experience. Strong proficiency in Java, Spring Boot, Microservices, Kafka, and relational databases. Proven experience developing and maintaining Microsoft Outlook add-ins (Office.js, Microsoft 365 integrations, Outlook APIs). Experience building event-driven ...

scalable, maintainable distributed systems. Solid background in microservices architecture, including service decomposition, inter‐service communication, and the use of real‐time messaging frameworks (e.g. Kafka) to support asynchronous processing and resilience. Exposure to cloud platforms such as AWS, Azure, or GCP, including deploying, configuring, and operating applications in cloud ...

/Azure/GCP), container orchestration (Kubernetes), service mesh, CI/CD, IaC, observability, and platform engineering Strong knowledge of real-time streaming (Kafka/Pulsar), batch analytics, MLOps, model governance, and responsible AI patterns Security and resiliency expertise: zero trust, secrets management, identity, encryption, chaos engineering, disaster recovery ...

Claude Code, Cursor, or AI-assisted coding CLI workflows) to accelerate code generation, refactoring, and daily execution. Message-Driven Architecture: Hands-on experience with Kafka, Apache Flink, or equivalent real-time event-streaming platforms. Containers & Data: Proficiency with Docker, Kubernetes, and relational databases (MS SQL, Sybase). Delivery Automation ...

enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real ...

areas, please get in touch Spring Boot microservices React and Node.js frontend web application development 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 Demonstrable use of AI tools to support ...

with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering) Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake ...

based enterprise cloud solutionsProven track record architecting secure, scalable services using microservices and CQRS patternsStrong experience in CI/CD pipelines, SQL/NoSQL, Kafka, CloudFormation, and streaming frameworksAdvanced understanding of system security protocols (e.g., OAuth, IAM, TLS, encryption)Leadership capability to manage and mentor teams while driving technology ...

based enterprise cloud solutionsProven track record architecting secure, scalable services using microservices and CQRS patternsStrong experience in CI/CD pipelines, SQL/NoSQL, Kafka, CloudFormation, and streaming frameworksAdvanced understanding of system security protocols (e.g., OAuth, IAM, TLS, encryption)Leadership capability to manage and mentor teams while driving technology ...

skillsFull-stack development experience with Java, Spring Framework, and React JS (including Redux)Experience with event-driven architectures and messaging platforms such as Kafka and IBM MQProficiency in both SQL and NoSQL databasesExperience working with private and public cloud environmentsFamiliarity with Agile and Kanban methodologiesExposure to AI/ ...

skills Full-stack development experience with Java, Spring Framework, and React JS (including Redux) Experience with event-driven architectures and messaging platforms such as Kafka and IBM MQ Proficiency in both SQL and NoSQL databases Experience working with private and public cloud environments Familiarity with Agile and Kanban methodologies ...

technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake ...

technical processes, with depth in disciplines such as cloud, AI/ML, or data engineeringExperience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal)Advanced working knowledge of relational and NoSQL databases, vector stores, data lake architectures ...

technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake ...

technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake ...