Lead Microservices and AI Technical Architect

IT Alliance Australia; Canberra; On-site; AUD 150,000 - 210,000; Full time

Job summary

IT Alliance Australia is seeking a Lead Microservices and AI Technical Architect in Canberra. The role focuses on designing and governing cloud-native, microservices, and event-driven architectures across complex enterprise environments.

You will drive AI engineering initiatives, including deployment and operationalisation of enterprise AI capabilities, semantic search, and responsible AI practices, while reinforcing DevSecOps and observability at scale.

Qualifications

• Experience designing, implementing and governing cloud native, microservices and event-driven architectures in complex enterprise environments.
• AI engineering and AI-enabled solution delivery, including deployment and operationalisation of enterprise AI capabilities.
• Strong software and platform engineering capabilities, including modern development frameworks, DevSecOps, automated testing and observability.

Responsibilities

• Lead design and governance of cloud-native, microservices, and event-driven architectures for enterprise platforms.
• Drive AI engineering initiatives, including deployment of enterprise AI capabilities and responsible AI practices.
• Strengthen software and platform engineering with DevSecOps, CI/CD, automated testing and observability.

Skills

Cloud-native architectures

Microservices design

Event-driven architectures

AI engineering

DevSecOps

Tools

CI/CD pipelines

Observability tooling

Security by design

Job description

One of our Federal Government clients is looking for Lead Microservices and AI Technical Architect in Canberra.

• Extensive experience designing, implementing and governing cloud native, microservices and event driven architectures within complex enterprise environments, delivering scalable, resilient and secure business critical platforms.
• Demonstrated expertise in AI engineering and AI enabled solution delivery, including the development, deployment and operationalisation of enterprise AI capabilities, semantic search, machine learning solutions and responsible AI practices.
• Strong software engineering and platform engineering capability, including modern development frameworks, DevSecOps, CI/CD, automated testing, observability, security by design and operational excellence.
• Experience with cloud platform modernisation, Site Reliability Engineering (SRE), platform engineering, observability tooling and enterprise scale automation practices.

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