5 of 5 Event-Driven Jobs in South London

maintainable, testable systems. AI‐Assisted Engineering: Practical use of GenAI to accelerate development whilemaintainingquality, security, and governance standards. API & Integration: Headless API design, event‐driven and service‐oriented architectures, and secure integration across distributed systems. Cloud & DevOps: AWS‐native architectures, CI/CD automation using GitHub Actions,infrastructureand ...

styles . Experience and appreciation for the Payments Industry and regulatory landscape from both a technical, functional and business perspective . Familiarity with event-driven, reactive architectural patterns such as event sourcing, CQRS and hexagonal architecture . Security architecture awareness including identity management, authentication and role-based ...

platforms and legal workplace solutions Experience delivering AI solutions (e.g., chatbots, copilots, automation, personalization, analytics) Hands‐on experience with enterprise integrations (APIs, middleware, event-driven architectures) Strong data architecture knowledge (data models, data pipelines, governance, analytics. Cybersecurity, PII management) Experience working with cloud-based architectures and SaaS platforms ...

Service Bus, APIM, and Key Vault, with IaC via Terraform or Pulumi Driving adoption of software engineering best practices including TDD, SOLID principles, event-driven architecture, and DevSecOps Collaborating closely with Product, UI/UX, Architecture, and third-party engineering partners to deliver high-quality digital experiences What … tooling (Azure DevOps preferred) and containerisation with Docker Strong grounding in software engineering best practices - TDD, BDD, SOLID, and architectural patterns such as event-driven and serverless Ability to lead through influence and communicate clearly with both technical and non-technical audiences Our commitment to inclusion ...

knowledge and experience of performance optimisation Significant experience in dimensional model-ling, data vault and lakehouse patterns, in-cluding slowly changing dimensions and event-driven pipelines Proven experience leading data quality frame-works including validation, reconciliation, monitoring and incident management Knowledge and experience of GDPR, encryption Experience implementing … caching, capacity load patterns, capacity pooling. Significant knowledge and experience of Kimball vs data Vault vs Lakehouse, dimensional modelling, slowly changing dimensions and event-driven pipelines Desirable Significant knowledge and experience DevOps: Fabric and Git integration, AzureDevOps/GitHub, branching strategy deployment pipelines and infrastructure as code Knowledge ...