Lead Microservices & AI Platform Architect (Remote)

CYOS Solutions; Adelaide; Hybrid; AUD 165,000 - 193,000; Full time

Job summary

CYOS Solutions is seeking a Microservices & AI Technical Lead in Adelaide, SA, to drive cloud-native, microservices, and AI-enabled platforms. You will lead architectural decisions, establish modern engineering practices, and guide AI-enabled service delivery within a 12-month contract for a national program.

Flexibility in working arrangements is supported. The role requires extensive experience in enterprise cloud platforms, AI engineering, and cross-functional leadership, with a focus on

Qualifications

• Extensive design, implementation and governance of cloud native/microservices architectures.
• AI engineering and enterprise AI delivery expertise including semantic search and ML solutions.
• Strong software/platform engineering including DevSecOps, CI/CD, automated testing and security by design.
• Proven leadership in enterprise modernization and measurable improvements in reliability and security.
• Exceptional stakeholder engagement and leadership of multidisciplinary teams.

Responsibilities

• Provide technical leadership and architectural authority for cloud native, microservices and AI platforms.
• Lead modern engineering and AI delivery practices across the SDLC, CI/CD, testing and observability.
• Drive platform modernization, containerisation and integration of enterprise systems.
• Transfer knowledge and mature engineering governance through multidisciplinary teams and partnerships.

Skills

Cloud native

Microservices

Event-driven

AI engineering

DevSecOps

CI/CD

Observability

Security by design

Tools

Kubernetes

OpenShift

AKS

EKS

GKE

Job description

CYOS Solutions is seeking a Microservices & AI Technical Lead in Adelaide, SA, to drive cloud-native, microservices, and AI-enabled platforms. You will lead architectural decisions, establish modern engineering practices, and guide AI-enabled service delivery within a 12-month contract for a national program.

Flexibility in working arrangements is supported. The role requires extensive experience in enterprise cloud platforms, AI engineering, and cross-functional leadership, with a focus on