Staff Platform Engineer - AI/ MLWe are a growing team within the bank and constantly involved in industry changing solutionsYou will be part of an creative environment with likeminded individualsTogether we can place customers at the centre of what we doDo work that matters:The Fraud & Scams Analytics team, part of the Chief Data and Analytics Office, maintains the fraud detection and reporting functions for the Group.
Our team supports the operations of Group Security who are devoted to protecting the monetary assets from fraud and financial loss of CBA and Bankwest customers.As part of the Platform Engineering team, you'll contribute to strategic initiatives like improving the standards of Fraud & Scam Analytics, AI-powered engineering, and reliability uplift.
You'll work alongside top collaborators to solve our customers' most complex data-centric problems.See Yourself in our team:This role blends Platform Engineering and Software Engineering with a strong AI mindset and AI Ops capabilities.
You'll design, build, and evolve application, tooling, and automation that empower product teams to deliver customer value with speed, safety, and reliability.
You'll also champion AI-powered engineering practices and embed intelligent automation into operations, observability, and service management.Our team's diverse backgrounds means we can draw on one another's experience to deliver to best work outcomes.
We are committed to safe-guarding our customers from financial fraud and scams.
Our analytics run on Australia's largest real-time transaction monitoring system, handling millions of transactions per day.We're interested in hearing from people who can:Platform EngineeringBuild 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 TerraformContinuously evolve platform capabilities to embrace new technologies and improve developer experienceML EngineeringExperienced in design and implementation of scalable, end-to-end ML systems including data pipelines, model training infrastructure, and production serving platformsEstablish robust MLOps practices including automated model deployment pipelines, comprehensive monitoring and observability, A/B testing frameworks, and model performance trackingCollaborate with data scientists, product teams, and infrastructure engineers to translate ML research into production systems.AI & AIOps EnablementEmbed AI-powered engineering tools (e.g., GitHub Copilot, autonomous agents, anomaly detection) into platform and reliability workflowsLeverage Gen AI and agentic frameworks to automate diagnostics, remediation, and service managementDrive adoption of AI tools across squads, aiming for 100% usage in FY26Collaborate on initiatives like Gen AI chatbot and self-service analytics platformsStrategic ImpactInfluence architecture and design decisions with a focus on operability, automation, and AI integrationPartner with squads to uplift DevSecOps maturity and reduce toil through intelligent automation, observability and CICDContribute to Frauds AI strategy and maturity curve, including ethical AI and multi-agent frameworksPeople Leadership & Chapter ResponsibilitiesLead and mentor a chapter of engineers, fostering a culture of technical excellence, collaboration, and continuous learningProvide coaching and career development support to chapter members, aligning individual growth with strategic goalsFacilitate cross-functional collaboration across squads, ensuring alignment on platform initiatives and engineering standards.
Represent the chapter in leadership forums, contributing to strategic planning and capability upliftPromote psychological safety and inclusive practices within the chapter and broader engineering communityTech Skills & ExperienceStrong coding skills in Python, Go, or similar languagesDeep experience with AWS, CI/CD, ML and Infrastructure-as-CodeProven track record in platform engineering, cloud infrastructure, and reliability practicesFamiliarity with AI tools, frameworks, and AIOps platforms (e.g., anomaly detection, self-healing pipelines)Experience with observability tools (e.g., Prometheus, Grafana) and incident managementExperience with Snowflake is desirableExcellent collaboration and communication skills across technical and business domainsIf you thrive on creating lasting, impactful technology and want to be part of an inclusive team that values innovation and growth, we'd love to hear from you!
We support our people with the flexibility to balance where work is done with at least half their time each month connecting in office.Working with usOur people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with an ultimate flexibility to work from any of our engineering hubs within Australia.
One where we're driven by our values, and supported to share ideas, initiatives, and energy.
One where making a positive impact for customers, communities and each other is part of our every day.If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application.
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