Lead Microservices and AI Technical Architect

Responsibilities:

• Provide technical leadership and architectural authority for design, governance and evolution of cloud native, microservices based and AI enabled platforms.
• Lead the establishment of modern engineering and AI delivery practices, including AI enabled SDLC, DevSecOps, CI/CD, observability, and automated testing.
• Drive technology modernisation and platform adoption, including microservices enhancement, containerisation, and integration of enterprise systems.

Essential Criteria:

• Extensive experience designing, implementing and governing cloud native, microservices and event driven architectures within complex enterprise environments.
• Demonstrated expertise in AI engineering and AI enabled solution delivery, including enterprise AI capabilities and responsible AI practices.
• Strong software engineering and platform engineering capability, including DevSecOps, CI/CD, automated testing, and observability.

Desirable Criteria:

• Experience designing, implementing and operating container platforms using technologies such as Kubernetes, OpenShift, AKS, EKS or GKE.
• Experience with cloud platform modernisation, Site Reliability Engineering (SRE), platform engineering, and observability tooling.
• Experience leading delivery within Agile environments, including coaching geographically dispersed teams.