Hybrid Staff Platform Engineer - AI/ML

Posted last month

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About the role

  • Design, build, and evolve application, tooling, and automation that empower product teams to deliver customer value with speed, safety, and reliability
  • Champion AI-powered engineering practices and embed intelligent automation into operations, observability, and service management
  • Build secure, scalable, and self-service platforms using Infrastructure-as-Code and cloud-native services (AWS preferred)
  • Develop standardised tooling for deployment, monitoring, and operations
  • Automate infrastructure provisioning and operations using Python, Go, and Terraform
  • Design and implement scalable, end-to-end ML systems including data pipelines, model training infrastructure, and production serving platforms
  • Establish robust MLOps practices including automated model deployment pipelines, comprehensive monitoring and observability, A/B testing frameworks, and model performance tracking
  • Embed AI-powered engineering tools into platform and reliability workflows and drive adoption
  • Influence architecture and design decisions focusing on operability, automation, and AI integration
  • Partner with squads to uplift DevSecOps maturity and reduce toil through intelligent automation, observability and CICD
  • Lead and mentor a chapter of engineers, provide coaching and career development
  • Collaborate on initiatives like Gen AI chatbot and self-service analytics platforms

Requirements

  • Strong coding skills in Python, Go, or similar languages
  • Deep experience with AWS, CI/CD, ML and Infrastructure-as-Code
  • Proven track record in platform engineering, cloud infrastructure, and reliability practices
  • Familiarity with AI tools, frameworks, and AIOps platforms (e.g., anomaly detection, self-healing pipelines)
  • Experience with observability tools (e.g., Prometheus, Grafana) and incident management
  • Experience with Snowflake is desirable
  • Excellent collaboration and communication skills across technical and business domains
  • Lead and mentor a chapter of engineers (people leadership)
  • Ability to automate infrastructure provisioning and operations using Python, Go, and Terraform

Benefits

  • flexibility to balance where work is done with at least half their time each month connecting in office
  • ultimate flexibility to work from any of our engineering hubs within Australia
  • support for career development and next steps
  • accessibility support via HR Direct

Job title

Staff Platform Engineer - AI/ML

Job type

Experience level

Lead

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

HybridAustralia

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