Lead Technical Architect (Baseline)

Trackita; Canberra; On-site; AUD 200,000 - 280,000; Full time

Job summary

Trackita seeks a Lead Technical Architect to provide technical leadership, influence system builds and guide AI adoption across the service delivery lifecycle. You will ensure capability transfer and align with enterprise architecture, security and business transformation objectives.

The role focuses on modern engineering practices, cloud-native and microservices platforms, and responsible AI; you will work with delivery partners and executives to deliver secure, scalable solutions.

Qualifications

• Extensive experience designing, implementing and governing cloud native, microservices and event driven architectures in enterprise environments.
• Proven expertise in AI engineering, enterprise AI deployment and responsible AI practices.
• Strong software/platform engineering capability including DevSecOps, CI/CD, testing, observability and security by design.
• Track record leading modernization initiatives and improving platform reliability, security and scalability.
• Excellent stakeholder engagement and leadership across senior executives and delivery partners.

Responsibilities

• Provide technical leadership and architectural authority for cloud native, microservices and AI-enabled platforms.
• Lead modern engineering and AI delivery practices including SDLC, DevSecOps, CI/CD, testing and observability.
• Drive platform modernization, containerisation and integration of enterprise systems to improve scalability and resilience.
• Build capability through knowledge transfer and governance, guiding multidisciplinary teams and senior stakeholders.

Skills

Cloud native architectures

Microservices & event-driven

AI engineering & delivery

DevSecOps & CI/CD

Stakeholder leadership

Tools

Kubernetes/OpenShift/AKS/EKS/GKE

Job description

Join us at our government client as the Lead Technical Architect

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 project

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.

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.