8 of 8 Event-Driven Architecture Jobs in Tyne and Wear

This is a hybrid role – three days per week in our Newcastle office. In this role your key responsibilities will be: Lifecycle & Pipeline Architecture: Design and own the automated "Continuous Training" (CT) and deployment pipelines. Architect reusable, modular infrastructure for model training and serving, ensuring the entire lifecycle ...

batch and real-time) Work primarily with Java , with exposure to Python and streaming frameworks such as Kafka, Flink, or Spark Develop event-driven architectures and streaming integrations Integrate data from multiple sources using AWS services (e.g. Kinesis, Lambda, Glue, MSK) Architecture & Data Management … Contribute to modern data architecture patterns (e.g. medallion architecture) Ensure high standards of data quality, governance, lineage, and security Support scalable and resilient data platform design DevOps & Cloud Engineering Deploy data solutions using CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins) Manage infrastructure using ...

experience: Background in healthcare, life sciences, or regulated environments Experience with AI safety, evaluation, or model monitoring Familiarity with distributed systems or event-driven architectures Location & working style This role is based in Newcastle, with fully remote working available, plus occasional collaboration sessions with the team ...

enabling teams to deliver robust, scalable, and secure services. With a strong foundation in backend technologies, including Java and Spring Boot, and event-driven systems such as Kafka, you’ll influence systems well beyond your own code, ensuring architectural integrity and high engineering standards across multiple … design and lead backend architectures for complex systems. Familiarity with cloud environments (AWS preferred) and container orchestration (Kubernetes). Experience with event-driven architectures and messaging platforms such as Kafka. Strong understanding of RESTful APIs, microservices, and distributed system design. Knowledge of SQL and NoSQL databases. ...

Building and optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling, and best practices across modern data platforms ...

defined services and features. Essential Skills & Experience You must have commercial experience or strong hands-on exposure to: Java (17+) Spring Framework Microservices architecture & REST APIs OpenAPI/Swagger for API design and documentation Test-Driven Development (TDD) Desirable/Nice-to-Have Skills Experience … familiarity with any of the following would be beneficial but not required : Docker & containerisation Kubernetes AWS CI/CD pipelines Kafka & event-driven architectures Databases: MongoDB, PostgreSQL, Oracle Service mesh technologies (e.g. Istio ) BDD tools (e.g. Cucumber ) Helm Redis Monitoring & observability tools ( Grafana, Prometheus, Kibana ...

hybrid role – three days per week in our Newcastle office. Key Responsibilities In this role your key responsibilities will be: Lifecycle & Pipeline Architecture Design and own the automated "Continuous Training" (CT) and deployment pipelines Architect reusable, modular infrastructure for model training and serving, ensuring the entire lifecycle … MLOps practices, including model and version management, monitoring, and handling model or data drift Implementing advanced service patterns such as asynchronous processing, event-driven architectures, or multi-version services Serving LLM or GenAI-based capabilities in production, including model serving, RAG pipelines, and inference controls Designing ...

hybrid role – three days per week in our Newcastle office. Key Responsibilities In this role your key responsibilities will be: Lifecycle & Pipeline Architecture Design and own the automated \"Continuous Training\" (CT) and deployment pipelines Architect reusable, modular infrastructure for model training and serving, ensuring the entire lifecycle … MLOps practices, including model and version management, monitoring, and handling model or data drift Implementing advanced service patterns such as asynchronous processing, event-driven architectures, or multi-version services Serving LLM or GenAI-based capabilities in production, including model serving, RAG pipelines, and inference controls Designing ...