Lead Microservices and AI Technical Architect

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

Application closing date: Sunday, 13 September 2026 • 11:59pm, Canberra time

Estimated start date: Thursday, 01 October 2026

Location of work: SA

Working arrangements: The department supports flexible and remote working arrangements where operational requirements permit

Length of contract: 12 months

Contract extensions: 2x 12 months

Security clearance: Must have Baseline security clearance

Rates: $120 - $140 per hour (inc. super)

The Department of Industry, Science and Resources (DISR) strives to encourage the sustainable growth of Australian industries including the delivery of a national innovation system to drive knowledge creation, international competitiveness and greater productivity. Our staff are committed to developing policies and delivering programs, in partnership with stakeholders, to provide lasting economic benefits based on principles of social justice and equity for all Australians.

The CIO Division provides a range of enabling services and operations delivery to the department and to Australian businesses and are seeking a Microservices & AI Technical Lead to support business application transformation program of work.

The program is establishing DISR's first enterprise Microservices and Event-driven Architecture foundations and is embedding AI enabled engineering practices across the software delivery lifecycle. The role will provide technical leadership, influence system builds and engineering decisions, guide the adoption of AI across the service deliver lifecycle and ensure capability transfer occurs throughout delivery.

This role will provide technical leadership, influence system builds and engineering decisions, guide the adoption of AI across the service deliver lifecycle and ensure capability transfer occurs throughout delivery.

The successful candidate will be required to,

• Provide technical leadership and architectural authority for the design, governance and evolution of cloud native, microservices based and AI enabled platforms, ensuring alignment with enterprise architecture, security and business transformation objectives.
• Lead the establishment of modern engineering and AI delivery practices, including AI enabled software development lifecycle (SDLC), DevSecOps, CI/CD, observability, automated testing and platform engineering standards that support secure, scalable and reliable service delivery.
• Drive technology modernisation and platform adoption, including microservices enhancement, containerisation, integration of enterprise systems and implementation of reusable patterns that improve scalability, maintainability and operational resilience.
• Build organisational capability and technical maturity through knowledge transfer, engineering governance and leadership of multidisciplinary teams, fostering engineering excellence and continuous improvement.

Essential criteria

1. 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.
2. 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.
3. Strong software engineering and platform engineering capability, including modern development frameworks, DevSecOps, CI/CD, automated testing, observability, security by design and operational excellence.
4. Proven ability to lead enterprise technology modernisation and transformation initiatives, providing technical direction, influencing architecture decisions and delivering measurable improvements in platform reliability, security, scalability and engineering maturity.
5. Exceptional stakeholder engagement, communication and leadership skills, with demonstrated experience leading multidisciplinary teams, delivery partners and senior executives and translating complex business requirements into practical technology outcomes.

Desirable criteria

1. Experience designing, implementing and operating container platforms using technologies such as Kubernetes, OpenShift, AKS, EKS or GKE, including platform automation, governance and workload management.
2. Experience with cloud platform modernisation, Site Reliability Engineering (SRE), platform engineering, observability tooling and enterprise scale automation practices.
3. Experience leading delivery within Agile environments, including coaching geographically dispersed teams, driving capability uplift and fostering a culture of collaboration, innovation and continuous improvement.