Overview
Join the Operational Risk & Compliance Crew to lead engineering for our core AI‐enabled risk platforms. Your primary focus is hands‐on, modern, reliable software engineering across .NET and Python on AWS, building secure APIs and microservices, uplifting CI/CD, and improving resilience and observability. You will drive the technical direction as we scale these platforms from MVP to enterprise‐grade capability, embedding agentic AI into risk management processes that operate across the bank. Gen AI is a core enabler of the solutions you'll build. Data is a supporting concern, primarily consuming producer‐led data products and event streams.
Key Responsibilities
* Own engineering for Risk AI Platform services: design, build, and operate .NET/Python microservices and REST APIs with OpenAPI specs and Kong gateway integration.
* Scale platforms from MVP to enterprise‐grade: drive architectural refactors, modularisation, performance tuning, and reliability improvements as we transition from lean delivery to sustainable, scalable systems.
* Provide hands‐on technical leadership: write production code, conduct peer reviews, define engineering standards, and guide Staff and Senior engineers in solution design and delivery.
* Establish golden paths for CI/CD (GitHub Actions + ArgoCD), automated testing (unit, integration, performance), and progressive delivery.
* Embed observability and operability (Grafana, Prometheus, PagerDuty) with SLOs/SLIs and production readiness reviews.
* Drive the integration of agentic AI capabilities: build and extend multi‐agent architectures, conversational AI workflows, and Rules‐as‐Code frameworks that power intelligent risk assessments.
* Apply knowledge of LLM APIs/platforms, agent frameworks (MCP, A2A), and planning/optimisation patterns to strengthen solution architecture and interoperability across the Risk AI ecosystem.
* Partner with Product Owners, Data Scientists, and platform teams to plan increments, de‐risk changes, and deliver measurable outcomes for risk operations.
* Ensure compliance with Tech Controls and Privacy Front Door processes; champion secure coding, secrets management (SSO/RBAC, SailPoint), and encryption.
* Consume producer‐led data products (S3/Iceberg, Kafka) as inputs to platform features; avoid tight coupling to data storage layers.
What We're Looking For
* Curious, lifelong learners who stay ahead of emerging AI and engineering practices.
* The ability to influence the future of the company's technology estate daily.
* A culture‐focused mindset to accelerate the adoption of new and emerging technologies.
* Experience scaling solutions from early‐stage to enterprise, bringing structure without slowing progress.
* Passion for using AI to solve real‐world problems in risk management and governance.
Technical Skills
* Deep software engineering expertise in .NET and/or Python, with a track record of building and operating production microservices and APIs at scale. Experience with FastAPI and REST/OpenAPI contract design is highly valued.
* AI and agentic engineering experience, particularly with agent orchestration frameworks (e.g. LangGraph), LLM gateway/proxy patterns (e.g. LiteLLM), prompt engineering, and AI evaluation/observability tooling (e.g. Langfuse, HoneyHive).
* Modern frontend capability: experience with React, Next.js, and Node.js to build responsive, production‐grade user interfaces and backend‐for‐frontend layers.
* Strong AWS cloud experience: hands‐on with EKS (Kubernetes), DynamoDB, S3, CloudFormation, ALB, and EC2. Comfort designing for high availability across multiple availability zones.
* Hands‐on CI/CD and GitOps experience: GitHub Actions, ArgoCD, containerisation (Docker, Helm/Kustomize), and automated testing strategies across unit, integration, and performance layers.
* Observability and operational excellence: building dashboards and alerting with Grafana, Prometheus, CloudWatch, and ELK/Obstack, backed by SLOs/SLIs and production readiness reviews; familiarity with PagerDuty for incident management.
* Security‐first mindset: familiarity with enterprise identity and access management (PingSSO/OIDC, SailPoint for RBAC), AWS Secrets Manager, and secure coding practices within a regulated environment.
* Data consumption literacy: working with event streams (Kafka), cloud‐native data formats (S3/Iceberg), and NoSQL stores (DynamoDB) as a consumer of producer‐led data products.
* Strong architectural thinking: modularising codebases, designing API contracts, defining integration patterns, and making pragmatic trade‐offs between speed and sustainability.
* Proven ability to lead without formal authority: elevating engineers through code reviews, technical mentoring, and setting the engineering excellence standard.
Working With Us
Our people bring diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace with flexible work locations. One where 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 everyday life. We support our people with flexibility to balance where work is done, including at least half their time each month connecting in office, and offer arrangements such as changing start and finish times, part‐time arrangements, and job share. We're hiring engineers across all of Australia and have technology hubs in Melbourne and Perth.
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