Staff Software Engineer

Digital And Automated Lending Team Member

As part of our Digital and Automated Lending team in Business Banking, we are shaping the future of intelligent product origination. We're implementing BIAN-compliant Customer Offer orchestration to onboard lending products such as Corporate Credit Cards, Overdrafts, Better Business Loans, and Bank Guarantees through scalable, agentic workflows.

We're interested in hearing from people who:

• Have solid hands-on experience developing APIs, microservices, backend components, data access layers, and driving innovative process improvements that add significant business value
• Are passionate designing, developing and deploying high quality software solutions as you are shaping the technical evolution of this system by contributing to end-to-end design, implementation
• Have experience with the full software development lifecycle and delivery using Agile practices with specific focus on the following concepts: source control, CI/CD, automated testing, infrastructure cloud pipelines, logging and monitoring
• Are ready to execute state-of-the-art coding practices, driving high quality outcomes to solve core business objectives and minimise risks
• Are constantly collaborating with stakeholders to understand business requirements and contributing to the design
• Leverage AI tools like Claude Code and Roo/Cline to augment engineering workflows and accelerate delivery
• Champions technical excellence through active mentoring, empowering engineers to grow and lead with confidence
• Pride themselves on their natural drive to educate, communicate and positively influence various stakeholder groups
• Have solid hands-on experience in the banking domain will be advantageous
• Are constantly thinking outside the box and breaking boundaries to solve complex technical problems
• Have solid hands-on experience with Cloud native development in AWS
• Are knowledgeable coaching junior engineers, sharing their expertise to uplift and improve software development practices

Tech Skills

• Proficiency in programming languages: Python, C#, Java, Golang
• Knowledge of building AI agents using LangGraph or Strands SDK
• Capability to design and implement both agentic and traditional workflows
• Event-driven architecture leveraging Kafka, Kinesis, SNS/SQS, or Eventbridge
• DevOps and CI/CD tools: GitHub Actions, Buildkite, Octopus Deploy
• Experience with monitoring and observability tools such as Prometheus/Grafana, Splunk, AWS CloudWatch
• Desired knowledge in Temporal for orchestrating complex workflows, AI, Machine Learning, and Large Language Models (LLM)
• Expertise in Security Engineering principles and implementation
• Cloud-native development, preferably with AWS
• AWS Cloud Certification
• Understanding of DevSecOps environments, landscape, and Site Reliability Engineering (SRE) practices

Working with us

We support our people with the flexibility to balance where work is done with at least half their time connecting in our Sydney or Melbourne office.

We also have many other flexible working options available including changing start and finish times, part-time arrangements and job share to name a few.

If this sounds like you, apply now!