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About the Role

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.

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.

Requirements

Are curious, life-long learners who stay across emerging AI and engineering practices.
Can influence the future of the company's technology estate every day.
Can create a culture focused on accelerating the adoption of new and emerging technologies.
Thrive in ambiguity — you've scaled something from early-stage to enterprise before and know how to bring structure without slowing down.
Are passionate about using AI to solve real-world problems in risk management and governance.

Skills

.NET
Python
AWS
Secure APIs
Microservices
CI/CD
Resilience
Observability
Agentic AI
Gen AI
Risk Management
ArgoCD
API standards
AI-enabled products
Product Owners
Data Scientists
Risk Technology
Squad technical lead
Solution design
Engineering oversight
OpenAPI specs
Kong gateway
Architectural refactors
Modularisation
Performance tuning
Reliability improvements
Production code
Peer reviews
Engineering standards
GitHub Actions
Automated testing
Progressive delivery
Grafana
Prometheus
PagerDuty
SLOs/SLIs
Production readiness reviews
Multi-agent architectures
Conversational AI workflows
Rules-as-Code frameworks
LLM APIs/platforms
Agent frameworks (MCP, A2A)
Planning/optimisation patterns
Risk AI ecosystem
Tech Controls
Privacy Front Door processes
Secure coding
Secrets management (SSO/RBAC, SailPoint)
Encryption
Data consumption
Event streams (Kafka)
Cloud-native data formats (S3/Iceberg)
NoSQL stores (DynamoDB)
Producer-led data products
FastAPI
REST/OpenAPI contract design
Agent orchestration frameworks (LangGraph)
LLM gateway/proxy patterns (LiteLLM)
Prompt engineering
AI evaluation/observability tooling (Langfuse, HoneyHive)
React
Next.js
Node.js
Backend-for-frontend layers
EKS (Kubernetes)
DynamoDB
S3
CloudFormation
ALB
EC2
High availability
GitOps
Containerisation (Docker, Helm/Kustomize)
CloudWatch
ELK/Obstack
Incident management
Enterprise identity and access management (PingSSO/OIDC)
AWS Secrets Manager
Regulated environment
Architectural thinking
Pragmatic trade-offs
Lead without authority
Technical mentoring

Experience Level

Principal

About the Company

We are a growing team within the bank and 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.

Equal Opportunity

At CommBank, we're committed to creating an accessible, inclusive and respectful workplace.
We welcome applications from people of all backgrounds, and we're particularly committed to making a positive difference for Aboriginal and/or Torres Strait Islander Peoples.
We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.