14 Sep
|
Laneway Talent
|
Canberra
14 Sep
Laneway Talent
Canberra
Job Description
Laneway is recruiting on behalf of a Federal Government department for an experienced Microservices & AI Technical Lead to support a major business application transformation program.
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This is a senior technical leadership role focused on cloud-native architecture, microservices, AI-enabled engineering and modern software delivery practices.
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The successful candidate will provide technical direction across complex technology environments, influence engineering and architecture decisions, and help establish modern delivery practices while building capability across multidisciplinary teams.
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The Opportunity
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The program is establishing enterprise foundations across Microservices and Event-Driven Architecture, while embedding AI-enabled engineering practices across the software delivery lifecycle.
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You will play a key role in shaping how modern technology is designed, delivered and operated, with a strong focus on scalability, security, reliability and engineering maturity.
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Key Responsibilities
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- Provide technical leadership and architectural direction for cloud-native, microservices-based and AI-enabled platforms
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- Influence architecture, engineering and technology decisions across complex enterprise environments
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- Establish modern engineering and AI delivery practices across the software development lifecycle
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- Drive adoption of DevSecOps, CI/CD, automated testing, observability and platform engineering
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- Support the adoption of AI-enabled software development practices
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- Drive technology modernisation and platform adoption
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- Enhance microservices and event-driven architectures
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- Support containerisation and integration of enterprise systems
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- Develop and promote reusable architecture and engineering patterns
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- Improve platform scalability, maintainability, security and operational resilience
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- Build organisational capability through knowledge sharing, mentoring and technical leadership
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- Lead and influence multidisciplinary engineering and delivery teams
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- Establish engineering governance and promote continuous improvement
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- Work with senior stakeholders and delivery partners to translate business requirements into practical technology outcomes
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About You
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You will bring extensive experience across modern enterprise technology environments, with robust capability in:
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- Cloud-native architecture
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- Microservices and event-driven architectures
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- Enterprise AI engineering and AI-enabled solution delivery
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- Software and platform engineering
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- DevSecOps and CI/CD
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- Automated testing and observability
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- Security by design
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- Technology modernisation and transformation
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- Enterprise architecture and technical governance
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- Leading multidisciplinary technical teams
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- Senior stakeholder engagement and communication
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You will also have experience with AI capabilities such as semantic search, machine learning solutions and responsible AI practices.
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Experience across the following would be highly regarded:
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- Kubernetes, OpenShift, AKS, EKS or GKE
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- Container platform automation, governance and workload management
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- Site Reliability Engineering (SRE)
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- Observability tooling
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- Coaching geographically dispersed teams
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- Technical capability uplift and engineering maturity
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Security Clearance
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The successful candidate must be eligible to obtain Baseline security clearance and therefore a Citizen.
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The Opportunity
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This is an opportunity to take a senior technical leadership role within a Federal Government transformation program and help establish modern microservices, event-driven architecture and AI-enabled engineering practices at enterprise scale.
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The role will suit a technically strong leader who enjoys influencing architecture, modernising platforms, improving engineering practices and developing the capability of the teams around them.
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Laneway
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We value diverse perspectives, backgrounds, and experiences, and encourage applications from people of all identities, communities, and career journeys.
📌 Microservices & AI Technical Lead (Canberra)
🏢 Laneway Talent
📍 Canberra