AI Engineering Tech Lead — Production Systems

Nine; North Sydney Council; Hybrid; AUD 180,000 - 240,000; Full time

Benefits offered by this job

18 weeks paid parental leave

Employee Exclusives program

Digital newspaper subscription

Stan subscription gift voucher

Job summary

Nine's Data Science & AI team sits within the Digital group, building AI-powered products that create genuine value for Nine's business and audiences. The team operates across data science and AI engineering tracks to ship production AI software.

As Technical Lead you will shape Nine's AI Engineering function, drive software engineering standards, and guide end-to-end builds spanning internal automation to audience-facing features. You will ensure production-grade code and scalable architecture.

Qualifications

• 7+ years of commercial software engineering experience with production systems.
• 2+ years in technical leadership or engineering management.
• Strong Python; Go is a plus.
• Experience with backend systems, APIs, and cloud platforms.

Responsibilities

• Mentor and grow a small high-performing engineering team.
• Set software quality benchmarks via architecture, CI/CD, testing, and design reviews.
• Own the technical architecture for AI-powered systems on GCP/AWS.
• Maintain production stability, monitoring, and incident handling for customer-facing AI apps.
• Improve Agile/Scrum workflows and unblock delivery.

Skills

Python

Go familiarity

GCP/AWS

CI/CD

Infrastructure as Code

Architecture design

Leadership

Education

Bachelor's degree in Computer Science or Software Engineering

Tools

Docker

Kubernetes

Terraform

OpenTofu

EKS/GKE

Job description

Nine's Data Science & AI team sits within the Digital group, building AI-powered products that create genuine value for Nine's business and audiences. The team operates across data science and AI engineering tracks to ship production AI software.

As Technical Lead you will shape Nine's AI Engineering function, drive software engineering standards, and guide end-to-end builds spanning internal automation to audience-facing features. You will ensure production-grade code and scalable architecture.