Microservices & AI Technical Lead

Nixil; Canberra; On-site; AUD 140,000 - 210,000; Full time

Job summary

Nixil is looking for a senior Microservices and AI Technical Architect to shape the enterprise's cloud-native, microservices and AI-enabled platforms from design through delivery. You will guide engineering decisions, establish governance, and build long-term engineering capability across the software delivery lifecycle.

You will lead architectural authority across cloud-native platforms, ensure alignment with cybersecurity and transformation objectives, and drive modernization with

Qualifications

• Must have extensive experience designing, implementing and governing cloud-native, microservices and event-driven architectures.
• Demonstrated record of delivering scalable, secure platforms and leading modernization initiatives.
• Strong expertise in AI-enabled solution delivery and AI engineering.

Responsibilities

• Provide technical leadership and architectural authority for cloud-native, microservices-based and AI-enabled platforms.
• Ensure solutions align with enterprise architecture, cybersecurity and business transformation goals.
• Guide adoption of AI across the software development lifecycle.
• Establish modern engineering practices including AI-enabled development, DevSecOps, CI/CD, automated testing and observability.
• Lead enhancement of microservices and event-driven capabilities.
• Drive platform modernization through containerisation and system integration.
• Improve scalability, security, reliability and operational resilience of platforms.
• Influence architecture decisions and technology investment priorities.
• Provide direction to multidisciplinary teams and senior stakeholders.
• Establish governance and standards for secure, scalable service delivery.
• Coach and transfer knowledge within delivery teams.

Skills

Cloud-native design

Microservices

AI engineering

Semantic search

Machine learning

DevSecOps

CI/CD

Observability

Security by design

Stakeholder mgmt

Leadership

Team leadership

Enterprise modernization

Technical direction

Education

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Tools

Kubernetes

OpenShift

Azure Kubernetes Service

Amazon EKS

Google Kubernetes Engine

Job description

Security clearance: Must be able to obtain Baseline.

Full working rights: Australian Citizen

Join a major business application transformation program and help establish an enterprise's first microservices and event-driven architecture foundations.

This is a senior technical leadership opportunity for an experienced Microservices and AI Technical Architect who can influence solution design, guide engineering decisions and embed AI-enabled practices across the software delivery lifecycle.

You will provide architectural authority across cloud-native, microservices and AI-enabled platforms while building the organisation's long-term engineering capability through governance, leadership and knowledge transfer.

What You'll Do

• Provide technical leadership and architectural authority for the design, governance and evolution of cloud-native, microservices-based and AI-enabled platforms.
• Ensure technology solutions align with enterprise architecture, cybersecurity and business transformation objectives.
• Guide the adoption of AI across the software development and service delivery lifecycle.
• Establish modern engineering practices covering AI-enabled software development, DevSecOps, CI/CD, automated testing, observability and platform engineering.
• Lead the enhancement of microservices and event-driven architecture capabilities.
• Drive platform modernisation through containerisation, enterprise system integration and reusable engineering patterns.
• Improve the scalability, maintainability, security, reliability and operational resilience of business-critical platforms.
• Influence system builds, architecture decisions and technology investment priorities.
• Provide technical direction to multidisciplinary teams, delivery partners and senior stakeholders.
• Establish engineering governance and standards that support secure, scalable and reliable service delivery.
• Build internal capability through coaching, knowledge transfer and practical leadership throughout delivery.
• Foster a culture of engineering excellence, innovation and continuous improvement.

What You'll Bring

• Extensive experience designing, implementing and governing cloud-native, microservices and event-driven architectures within complex enterprise environments.
• A demonstrated record of delivering scalable, resilient and secure business-critical platforms.
• Strong expertise in AI engineering and AI-enabled solution delivery.
• Experience developing, deploying and operationalising enterprise AI capabilities, including semantic search and machine-learning solutions.
• Knowledge of responsible AI principles, governance and implementation practices.
• Strong software and platform engineering capability across modern development frameworks.
• Practical expertise in DevSecOps, CI/CD, automated testing, observability, security by design and operational excellence.
• Proven experience leading enterprise technology modernisation and transformation initiatives.
• The ability to provide technical direction, influence architectural decisions and deliver measurable improvements in platform reliability, security, scalability and engineering maturity.
• Exceptional stakeholder engagement, communication and leadership skills.
• Experience leading multidisciplinary teams and delivery partners while engaging effectively with senior executives.
• The ability to translate complex business requirements into practical and achievable technology outcomes.
• Full working rights-Australian Citizenship is mandatory.

Highly Regarded

• Experience designing, implementing and operating container platforms using Kubernetes, OpenShift, Azure Kubernetes Service, Amazon EKS or Google Kubernetes Engine.
• Knowledge of container-platform automation, governance and workload management.
• Experience with cloud-platform modernisation, Site Reliability Engineering, platform engineering and enterprise-scale automation.
• Familiarity with contemporary observability platforms and practices.
• Experience leading delivery within Agile environments.
• Experience coaching geographically dispersed teams and driving organisation-wide capability uplift.

Why Apply?

This role offers the opportunity to shape foundational enterprise architecture and influence how AI is adopted across the complete software delivery lifecycle. You will play a central role in defining modern engineering standards, improving technical maturity and establishing reusable capabilities that support ongoing digital transformation.