EL2 Lead Microservices and AI Technical Architect

SoftLabs ANZ Limited.; Canberra; On-site; AUD 180,000 - 240,000; Part time

Job summary

SoftLabs ANZ Limited is seeking an EL2 Lead Microservices and AI Technical Architect in Canberra to guide cloud native, microservices and AI-enabled platforms. The role requires architectural authority, governance, and delivery leadership across enterprise-scale systems, with a focus on security, reliability and modern engineering practices.

The contractor will drive platform modernisation, implement AI-enabled SDLC, and oversee multidisciplinary teams across Canberra and other sites as

Qualifications

• 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 deployment and operationalisation of enterprise AI capabilities.
• Strong software engineering and platform engineering capability including DevSecOps, CI/CD, observability, security by design.

Responsibilities

• Provide technical leadership and architectural authority for cloud native, microservices and AI enabled platforms.
• Lead the establishment of modern engineering and AI delivery practices including SDLC, CI/CD, observability, testing and platform standards.
• Drive technology modernisation and platform adoption including containerisation and enterprise system integration.

Skills

Cloud native

Microservices

Event-driven

AI engineering

DevSecOps

CI/CD

Observability

Platform engineering

Tools

Kubernetes

OpenShift

AKS

EKS

GKE

Job description

EL2 Lead Microservices and AI Technical Architect

Canberra, Australia | Posted on 09/04/2026

• State/Province Australian Capital Territory
• Country Australia

Job Description

• 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 buyer's 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 an 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.
• Maximumhours: 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 delivery 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 department'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 delivery lifecycle and ensure capability transfer occurs throughout delivery.

• 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 modernization 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.
• 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 modernization, 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