Job Description

Job Title: Lead Microservices and AI Technical Architect

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Contract: 12 months + 2 x 12-month extensions

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Location: ACT preferred; Other cities also considered (Hybrid)

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Security Clearance: Must be able to obtain Baseline

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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.

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Key Duties and Responsibilities

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The successful candidate will be required to:

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- 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.
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- 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.
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- 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.
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- Build organisational capability and technical maturity through knowledge transfer, engineering governance and leadership of multidisciplinary teams, fostering engineering excellence and continuous improvement.
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About the Project

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The client is establishing first enterprise Microservices and Event-Driven Architecture foundations and embedding AI-enabled engineering practices across the software delivery lifecycle.

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The role will:

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- Provide technical leadership.
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- Influence system builds and engineering decisions.
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- Guide the adoption of AI across the service delivery lifecycle.
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- Ensure capability transfer occurs throughout delivery.




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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.

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2. AI Engineering & AI-Enabled Solution Delivery

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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.

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3. Software & Platform Engineering

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Strong software engineering and platform engineering capability, including up-to-date development frameworks, DevSecOps, CI/CD, automated testing, observability, security by design and operational excellence.

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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.

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5. Stakeholder Engagement, Communication & Leadership

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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.

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1. Container Platforms

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Experience designing, implementing and operating container platforms using technologies such as Kubernetes, OpenShift, AKS, EKS or GKE, including platform automation, governance and workload management.

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Experience with cloud platform modernisation, Site Reliability Engineering (SRE), platform engineering, observability tooling and enterprise-scale automation practices.

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3. Agile Delivery & Capability Uplift

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Experience leading delivery within Agile environments, including coaching geographically dispersed teams, driving capability uplift and fostering a culture of collaboration, innovation and continuous improvement.

📌 Lead Microservices and AI Technical Architect (Canberra)
🏢 ByteSpeed Solutions
📍 Canberra