Backend AI Engineer | Python, APIs & Cloud

Nine; New South Wales; Hybrid; AUD 100,000 - 140,000; 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, Australia's largest locally owned media company, is seeking a Software Engineer for its AI Engineering function. You will build production backend services and data pipelines in Python, shoring up APIs, data flows, and robust delivery for AI-powered products.

You'll collaborate with the Tech Lead and AI Product team, applying TDD, modern architecture, and cloud skills across AWS or GCP to ensure high availability and scalable systems.

Qualifications

• Bachelor's degree in CS, SE, or equivalent practical experience.
• 3–5 years of commercial software engineering experience building, shipping, and maintaining backend systems.
• Proficiency in Python or similar, with emphasis on readable, testable code.
• Experience designing and consuming RESTful APIs and backend microservices.

Responsibilities

• Build & Ship: Write clean, scalable Python code for production backend services and data pipelines.
• Maintain Engineering Standards: Champion code quality with TDD, PR reviews, and modern architectures.
• Systems & Delivery: Break down requirements with Tech Lead and AI Product teams into maintainable components.
• Operational Stability: Support CI/CD pipelines, observability, and production monitoring.

Skills

Python

RESTful APIs

Cloud (AWS/GCP)

DevOps

Docker

Kubernetes

Terraform/OpenTofu

Go

LLM APIs

Digital media experience

Education

Bachelor's degree in Computer Science or Software Engineering

Tools

Git

CI/CD pipelines

Terraform/OpenTofu

Kubernetes (EKS/GKE)

Job description

Nine, Australia's largest locally owned media company, is seeking a Software Engineer for its AI Engineering function. You will build production backend services and data pipelines in Python, shoring up APIs, data flows, and robust delivery for AI-powered products.

You'll collaborate with the Tech Lead and AI Product team, applying TDD, modern architecture, and cloud skills across AWS or GCP to ensure high availability and scalable systems.