Staff Software Engineer (AI)

Commonwealth Bank

Melbourne

2 days ago

Melbourne

2 days ago

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Staff Software Engineer (AI)

Staff Software Engineer (AI) position at Commonwealth Bank in Melbourne, Australia. The role involves designing and building AI-enabled risk platforms using .NET, Python, and AWS within a hybrid work environment. Requires strong software engineering skills, AI/agent engineering experience, and a collaborative mindset.

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Hybrid

Full-time

Principal

.NET

Python

Salary

Not specified

Work Location

Melbourne, Victoria, Australia, AU

Work Model

Hybrid: at least half time in office each month

Employment Type

Full-time

Experience Level

Staff

Core Qualifications

Technical (Must-have)

.NETPythonAWSREST APIsCI/CDDockerKubernetesGrafanaPrometheusKafka

Soft Skills

problem-solvingcollaborationcuriositygrowth mindsettechnical leadershipcommunication

Tools (Must-have)

GitHub ActionsArgoCDKongPagerDutyCloudWatchELK Stack

Preferred Qualifications

Technical (Nice-to-have)

FastAPILangGraphLiteLLMLangfuseHoneyHiveReactNext.jsNode.jsHelmKustomize

Tools (Nice-to-have)

PingSSOSailPointAWS Secrets Manager

Key Responsibilities

•Design, build, and operate .NET/Python microservices and REST APIs with OpenAPI specs and Kong gateway integration as part of the Risk AI Platform.
•Deliver production-quality code across the full stack backend services, API layers, and frontend components with a focus on reliability, testability, and maintainability.
•Contribute to architectural decisions: participate in design reviews, propose solutions for technical challenges, and support the Principal Engineer in driving refactors, modularisation, and performance improvements.
•Build and maintain CI/CD pipelines (GitHub Actions + ArgoCD), automated tests (unit, integration, performance), and progressive delivery workflows.
•Implement observability and operability (Grafana, Prometheus, PagerDuty) including dashboards, alerting, and SLO/SLI instrumentation.
•Build agentic AI features: develop and extend multi-agent workflows, conversational AI components, and Rules-as-Code integrations that power intelligent risk assessments.
•Work with LLM APIs/platforms, agent frameworks (e.g. LangGraph), and evaluation tooling to deliver reliable, observable AI capabilities.
•Partner with product and platform teams to estimate, plan, and deliver increments that produce measurable outcomes for risk operations.
•Apply secure coding practices in line with Tech Controls and Privacy Front Door processes, including secrets management, encryption, and access control.
•Consume producer-led data products (S3/Iceberg, Kafka, DynamoDB) as inputs to platform features; maintain clean integration boundaries.

Staff Software EngineerAIRiskFinancial Services.NETPythonAWSHybridMelbourneAgentic AI

Key Responsibilities

•Design, build, and operate .NET/Python microservices and REST APIs with OpenAPI specs and Kong gateway integration as part of the Risk AI Platform.

•Deliver production-quality code across the full stack backend services, API layers, and frontend components with a focus on reliability, testability, and maintainability.

•Contribute to architectural decisions: participate in design reviews, propose solutions for technical challenges, and support the Principal Engineer in driving refactors, modularisation, and performance improvements.

•Build and maintain CI/CD pipelines (GitHub Actions + ArgoCD), automated tests (unit, integration, performance), and progressive delivery workflows.

•Implement observability and operability (Grafana, Prometheus, PagerDuty) including dashboards, alerting, and SLO/SLI instrumentation.

•Build agentic AI features: develop and extend multi-agent workflows, conversational AI components, and Rules-as-Code integrations that power intelligent risk assessments.

•Work with LLM APIs/platforms, agent frameworks (e.g. LangGraph), and evaluation tooling to deliver reliable, observable AI capabilities.

•Partner with product and platform teams to estimate, plan, and deliver increments that produce measurable outcomes for risk operations.

•Apply secure coding practices in line with Tech Controls and Privacy Front Door processes, including secrets management, encryption, and access control.

•Consume producer-led data products (S3/Iceberg, Kafka, DynamoDB) as inputs to platform features; maintain clean integration boundaries.