Senior Software Engineer – AI‑Driven Digital Archive

Stan.; Sydney; Hybrid; AUD 180,000 - 230,000; Full time

Benefits offered by this job

18 weeks parental leave

Employee Exclusives program

Digital newspaper subscription

Stan subscription voucher

Job summary

Nine is Australia’s largest locally owned media company, home to trusted news, sport and entertainment. The Digital Archive team is digitising 195 years of content and building AI-powered products for internal and external markets.

The Senior Software Engineer will lead foundational design, craft scalable architectures, and mentor engineers as we deploy cloud-native pipelines and ML-enabled features.

Qualifications

• 6+ years of progressive experience in software engineering in enterprise-level platforms.
• Technical expertise in developing and maintaining applications using Golang or Java.
• A proven track record of designing and implementing highly scalable, robust architectures.
• Deep expertise in cloud infrastructure and services (AWS, GCP, or Azure).
• Direct experience designing architectures that integrate machine learning or AI capabilities.
• Exceptional technical leadership, mentoring abilities, and communication skills.

Responsibilities

• Design scalable, robust infrastructure for ingestion, processing, and preservation of large multimedia datasets.
• Build foundational software architecture to enable ML-enriched content and smart discovery features.
• Define distributed system architectures and ensure seamless cloud integration.
• Mentor engineering teams and communicate complex decisions to executives and cross-functional partners.

Skills

Golang

Java

ML/AI

Leadership

Cloud platforms

Tools

Terraform

Kubernetes

Cloud Run

Job description

Nine is Australia’s largest locally owned media company, home to trusted news, sport and entertainment. The Digital Archive team is digitising 195 years of content and building AI-powered products for internal and external markets.

The Senior Software Engineer will lead foundational design, craft scalable architectures, and mentor engineers as we deploy cloud-native pipelines and ML-enabled features.