Microservices & AI Technical Lead

Laneway Talent; Canberra; On-site; AUD 180,000 - 260,000; Full time

Job summary

Laneway Talent is partnering with a Federal Government department in Canberra to recruit a senior Microservices & AI Technical Lead. You will shape cloud-native architectures, drive AI-enabled engineering and modern delivery practices across large, complex environments.

The role demands technical leadership, governance, and collaboration with senior stakeholders to translate business needs into scalable technology outcomes, ensuring security, reliability and operational resilience.

Qualifications

• Extensive experience in cloud-native architectures, microservices and AI-enabled delivery.
• Proven ability to lead complex enterprise technology programs.
• Experience implementing DevSecOps, CI/CD and observability practices.

Responsibilities

• Provide technical leadership and architectural direction for cloud-native, microservices-based and AI-enabled platforms.
• Influence architecture, engineering and technology decisions across complex enterprise environments.
• Establish modern engineering and AI delivery practices across the software development lifecycle.
• Drive adoption of DevSecOps, CI/CD, automated testing, observability and platform engineering.
• Support the adoption of AI-enabled software development practices.
• Drive technology modernisation and platform adoption.
• Enhance microservices and event-driven architectures.
• Support containerisation and integration of enterprise systems.
• Develop and promote reusable architecture and engineering patterns.
• Improve platform scalability, maintainability, security and operational resilience.
• Build organisational capability through knowledge sharing, mentoring and technical leadership.
• Lead and influence multidisciplinary engineering and delivery teams.
• Establish engineering governance and promote continuous improvement.
• Work with senior stakeholders and delivery partners to translate business requirements into practical technology outcomes.

Skills

Cloud-native

Microservices

Event-driven

AI engineering

DevSecOps

CI/CD

Automated testing

Observability

Security by design

Engineering maturity

Technical governance

Stakeholder comms

Team leadership

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.

This is a senior technical leadership role focused on cloud-native architecture, microservices, AI-enabled engineering and modern software delivery practices.

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.

The Opportunity

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

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.

Key Responsibilities

• Provide technical leadership and architectural direction for cloud-native, microservices-based and AI-enabled platforms
• Influence architecture, engineering and technology decisions across complex enterprise environments
• Establish modern engineering and AI delivery practices across the software development lifecycle
• Drive adoption of DevSecOps, CI/CD, automated testing, observability and platform engineering
• Support the adoption of AI-enabled software development practices
• Drive technology modernisation and platform adoption
• Enhance microservices and event-driven architectures
• Support containerisation and integration of enterprise systems
• Develop and promote reusable architecture and engineering patterns
• Improve platform scalability, maintainability, security and operational resilience
• Build organisational capability through knowledge sharing, mentoring and technical leadership
• Lead and influence multidisciplinary engineering and delivery teams
• Establish engineering governance and promote continuous improvement
• Work with senior stakeholders and delivery partners to translate business requirements into practical technology outcomes

About You

You will bring extensive experience across modern enterprise technology environments, with strong capability in:

• Cloud-native architecture
• Microservices and event-driven architectures
• Enterprise AI engineering and AI-enabled solution delivery
• Software and platform engineering
• DevSecOps and CI/CD
• Automated testing and observability
• Security by design
• Technology modernisation and transformation
• Enterprise architecture and technical governance
• Leading multidisciplinary technical teams
• Senior stakeholder engagement and communication

You will also have experience with AI capabilities such as semantic search, machine learning solutions and responsible AI practices.

Experience across the following would be highly regarded:

• Kubernetes, OpenShift, AKS, EKS or GKE
• Container platform automation, governance and workload management
• Site Reliability Engineering (SRE)
• Observability tooling
• Coaching geographically dispersed teams
• Technical capability uplift and engineering maturity

Security Clearance

The successful candidate must be eligible to obtain Baseline security clearance and therefore a Citizen.

The Opportunity

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.

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.

Laneway

We value diverse perspectives, backgrounds, and experiences, and encourage applications from people of all identities, communities, and career journeys.