76 to 100 of 472 Event-Driven Jobs

more backend languages such as Java, Python, .NET, or Node.js. Experience designing and building microservices, APIs, and distributed systems. Good understanding of event-driven architectures, messaging, and high-volume data processing patterns. Strong system design skills, with the ability to make pragmatic technical trade-offs. Experience with cloud ...

RESTful API design patterns and integration standards; support API lifecycle management, documentation and versioning. Support system and data integration across distributed services, including event-driven patterns where appropriate. Assess and address technical debt, recommending pragmatic modernisation approaches. Support deployment planning, cutover activities and post-go-live stabilisation. Contribute ...

manage Azure Web Apps/App Services Configure and support secure API integrations with internal and third-party systems Implement messaging and event-driven integration patterns using Azure Service Bus/Event Grid Perform payload transformation (JSON/XML, SOAP/REST) Monitor and troubleshoot ...

enterprise environment. An exciting opportunity working on a greenfield Kubernetes platform built using modern engineering practices across Azure, GitOps, service mesh, observability and event-driven architecture. The Role You will be responsible for building, operating and improving a shared Kubernetes platform used by application, AI and integration engineering ...

exciting opportunity to work on a greenfield Kubernetes platform built using modern engineering practices across Azure, GitOps, service mesh, observability and event-driven architecture. The Role As Platform Engineer, you will be responsible for building, operating and improving a shared Kubernetes platform used by application, AI and integration ...

exciting opportunity to work on a greenfield Kubernetes platform built using modern engineering practices across Azure, GitOps, service mesh, observability and event-driven architecture. The Role As Platform Engineer, you will be responsible for building, operating and improving a shared Kubernetes platform used by application, AI and integration ...

Knowledge of SRE practices (SLIs, SLOs) Experience with monitoring stacks (Prometheus, Grafana, Loki, ELK) Exposure to security automation and DevSecOps principles Experience with event-driven architectures or message brokers ...

ability to balance speed with technical quality, deciding when to leverage AI tools versus hands-on implementation. System & Event Architecture : Exposure to event-driven and publish-subscribe technologies such as Kafka, RabbitMQ or SNS/SQS. Testing Skills : Experience writing well-tested code and contributing to robust ...

Core Banking Systems—supporting colleague and customer journeys, regulatory reporting, and real-time event streaming. Our platform is moving towards a modern, event-driven architecture, leveraging APIs, cloud-native services, and advanced DevOps tooling to deliver secure, scalable, and high-performing solutions. We work closely with partners ...

Core Banking Systems—supporting colleague and customer journeys, regulatory reporting, and real-time event streaming. Our platform is moving towards a modern, event-driven architecture, leveraging APIs, cloud-native services, and advanced DevOps tooling to deliver secure, scalable, and high-performing solutions. We work closely with partners ...

that operate reliably within highly governed Defence environments. What you’ll be doing: Building scalable data applications and pipelines using Python Developing streaming, event-driven and orchestrated data solutions Deploying and supporting containerised services in Kubernetes environments Implementing observability, monitoring and data governance best practices Leveraging Infrastructure ...

that operate reliably within highly governed Defence environments. What you’ll be doing: Building scalable data applications and pipelines using Python Developing streaming, event-driven and orchestrated data solutions Deploying and supporting containerised services in Kubernetes environments Implementing observability, monitoring and data governance best practices Leveraging Infrastructure ...

pipelines, and Infrastructure as Code (Terraform or equivalent). Data & Integration: Strong command of SQL/NoSQL data modeling, data ingestion strategies, and event-driven architectures. AI Capabilities: Practical experience incorporating Large Language Models (LLMs), AI-driven workflows, and AI-assisted development tools into enterprise application landscapes. ...

pipelines, and Infrastructure as Code (Terraform or equivalent). Data & Integration: Strong command of SQL/NoSQL data modeling, data ingestion strategies, and event-driven architectures. AI Capabilities: Practical experience incorporating Large Language Models (LLMs), AI-driven workflows, and AI-assisted development tools into enterprise application landscapes. ...

pipelines, and Infrastructure as Code (Terraform or equivalent). Data & Integration: Strong command of SQL/NoSQL data modeling, data ingestion strategies, and event-driven architectures. AI Capabilities: Practical experience incorporating Large Language Models (LLMs), AI-driven workflows, and AI-assisted development tools into enterprise application landscapes. ...

pipelines, and Infrastructure as Code (Terraform or equivalent). Data & Integration: Strong command of SQL/NoSQL data modeling, data ingestion strategies, and event-driven architectures. AI Capabilities: Practical experience incorporating Large Language Models (LLMs), AI-driven workflows, and AI-assisted development tools into enterprise application landscapes. ...

modern engineering practices Ability to influence technical direction through expertise rather than authority Desirable Skills Experience with Docker, Kubernetes, or containerisation Knowledge of event-driven systems and architectures Exposure to front-end technologies (React/Angular) Experience within fintech or regulated environments Why This Role Stands ...

pipelines Knowledge of security frameworks, identity management and authentication standards Desirable Skills for the AI Solutions Architect: Experience with enterprise integration patterns and event-driven architectures Exposure to data engineering and data platform architectures Experience with Infrastructure as Code tools If you are an AI Solutions Architect with ...

Knowledge of SRE practices (SLIs, SLOs) Experience with monitoring stacks (Prometheus, Grafana, Loki, ELK) Exposure to security automation and DevSecOps principles Experience with event-driven architectures or message brokers Other Information Logiq is committed to investing in people, offering a clear progression pathway into our consultancy service ...

Knowledge of SRE practices (SLIs, SLOs) Experience with monitoring stacks (Prometheus, Grafana, Loki, ELK) Exposure to security automation and DevSecOps principles Experience with event-driven architectures or message brokers Other Information Logiq is committed to investing in people, offering a clear progression pathway into our consultancy service ...

native patterns, and systems integration to engineering teams and senior stakeholders. Drive resolution of complex cross-platform integration challenges, including identity, data flow, event-driven architecture, and API design ensuring that integration decisions are durable, secure, and aligned with enterprise standards. Produce and maintain high-quality architecture strategy ...

model versioning, and production monitoring. Support orchestration and automation of ML workloads using tools such as Prefect, AWS-native services, and event-driven patterns. Help define architectural standards and technical roadmaps for ML infrastructure, MLOps, AIOps, and GenAI capabilities. Review technical designs and code, mentor other engineers ...

cloud-based AI/ML ecosystems, particularly AWS SageMaker (required). Proven experience developing monitoring frameworks, observability pipelines, and dashboards. Deep understanding of event-driven architectures and messaging systems (Kafka, Vert.x, or similar). Knowledge of security engineering, IAM principles, encryption, and cloud security controls. Experience with ...

cloud-based AI/ML ecosystems, particularly AWS SageMaker (required). Proven experience developing monitoring frameworks, observability pipelines, and dashboards. Deep understanding of event-driven architectures and messaging systems (Kafka, Vert.x, or similar). Knowledge of security engineering, IAM principles, encryption, and cloud security controls. Experience with ...

cloud-based AI/ML ecosystems, particularly AWS SageMaker (required). Proven experience developing monitoring frameworks, observability pipelines, and dashboards. Deep understanding of event-driven architectures and messaging systems (Kafka, Vert.x, or similar). Knowledge of security engineering, IAM principles, encryption, and cloud security controls. Experience with ...