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EL2 Lead Microservices and AI Technical Architect

SoftLabs


Job Location:

Canberra - Australia

Monthly Salary: Not provided by the employer
Posted: 4 September 2026 (Yesterday)
Application Deadline: 2 December 2026
Vacancies: 1 Vacancy

Job Summary

  • Initial Contract Duration: 12 Months
  • Extension term details: 12 Months
  • Number of extensions: 2
  • Location: ACT
  • Security Requirements: Must be able to obtain Baseline
  • Working Arrangements: Hybrid
    The buyers primary location is Canberra ACT. The department supports flexible and remote working arrangements where operational requirements permit. To support a nationally distributed workforce and delivery model the department maintains offices in all Australian capital cities and a network of regional offices across Australia. As a result resources may be required to collaborate with stakeholders located throughout the country with occasional travel to Canberra or other locations.
  • Maximum hours: 40 hours per week




Job details

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.



Key duties and responsibilities

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.



About the Team

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.




About the Project

The program is establishing departments 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.




Essential Criteria

  • 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.
  • 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.
  • 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

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



Application Deadline: Monday 14 September 2026

Expected Start Date: Thursday 01 October 2026

Job Type: Contract



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