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About the Role

Join the Operational Risk & Compliance Crew to engineer core AI-enabled risk platforms. Focus on hands-on software engineering using .NET and Python on AWS, building secure APIs and microservices, contributing to CI/CD pipelines, and improving resilience and observability. Work within a squad delivering agentic AI capabilities into risk management processes, with Generative AI as a core enabler.

Responsibilities

• Design, build, and operate .NET/Python microservices and REST APIs with OpenAPI specs and Kong gateway integration.
• Deliver production-quality code across backend services, API layers, and frontend components, focusing on reliability, testability, and maintainability.
• Contribute to architectural decisions, participate in design reviews, and propose solutions for technical challenges.
• Build and maintain CI/CD pipelines (GitHub Actions + ArgoCD) and automated tests.
• Implement observability and operability including dashboards, alerting, and SLO/SLI instrumentation.
• Build agentic AI features, including multi-agent workflows, conversational AI components, and Rules-as-Code integrations.
• Work with LLM APIs/platforms, agent frameworks (e.g. LangGraph), and evaluation tooling.
• Partner with product and platform teams to estimate, plan, and deliver increments.
• Apply secure coding practices in line with Tech Controls and Privacy Front Door processes.
• Consume producer-led data products (S3/Iceberg, Kafka, DynamoDB) as inputs to platform features.

Requirements

• Curious, life-long learners who stay across emerging AI and engineering practices.
• Ability to influence the future of the company's technology estate.
• Ability to create a culture focused on accelerating the adoption of new and emerging technologies.
• Desire to grow into technical leadership.
• Passion for using AI to solve real-world problems in risk management and governance.

Skills

• .NET
• Python
• AWS
• API design
• Microservices
• CI/CD
• Observability
• Agentic AI
• LLM APIs
• Agent frameworks (e.g. LangGraph)
• React
• Next.js
• Node.js
• EKS (Kubernetes)
• DynamoDB
• S3
• CloudFormation
• ALB/EC2
• GitHub Actions
• ArgoCD
• Docker
• Helm/Kustomize
• Automated testing
• Grafana
• Prometheus
• CloudWatch
• ELK/Obstack
• PagerDuty
• Enterprise identity and access management
• AWS Secrets Manager
• Secure coding
• Event streams (Kafka)
• Cloud-native data formats (S3/Iceberg)
• NoSQL stores (DynamoDB)
• Collaborative mindset
• Growth-oriented mindset

Location

• Melbourne
• Perth

Work Type

• Flexible work locations
• At least half their time each month connecting in office
• Changing start and finish times
• Part-time arrangements
• Job share

Experience Level

• Staff

About the Company

• We are a growing team within the bank, constantly involved in industry-changing solutions.
• Together we will build tomorrow's bank today, using world-leading engineering, technology, and innovation.
• Risk Management is modernising how the bank identifies, assesses, and manages risk building an enterprise-grade Risk AI Platform powered by an AWS-first approach, ArgoCD-managed deployments, and strong API standards.
• The platform underpins a growing portfolio of AI-enabled products that automate risk processes, embed agentic intelligence, and deliver scalable, human-in-the-loop workflows across Operational Risk & Compliance.
• Our people bring their diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace.
• We're driven by our values, and supported to share ideas, initiatives, and energy.
• Making a positive impact for customers, communities and each other is part of our every day.
• We support our people with the flexibility to balance where work is done.
• We are keen to support you with the next step in your career.