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
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