Job Role
We are a rapidly expanding team, constantly involved in pioneering industry solutions.
This position is part of the Fraud & Scams Analytics group, supporting Group Security to protect customers' financial assets from fraud and loss.
You will design, build, and evolve applications, tooling, and automation that empower product teams to deliver customer value with speed, safety, and reliability.
Our analytics run on Australia's largest real-time transaction monitoring system, handling millions of transactions daily.
Main Responsibilities
* Create secure, scalable, self-service platforms using Infrastructure-as-Code and cloud-native services (AWS preferred).
* Develop standardized tooling for deployment, monitoring, and operations. Automate infrastructure provisioning and operations using Python, Go, and Terraform.
* Continuously evolve platform capabilities to adopt new technologies and enhance developer experience.
* Experience in designing and implementing 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.
* Collaborate with data scientists, product teams, and infrastructure engineers to translate ML research into production systems.
Required Skills and Qualifications
* 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.