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Staff software engineer

Commonwealth Bank
Software Engineer
Posted: 28 April
Offer description

Staff Software Engineer – Full Stack ( AI Predictive Hedging team) Do work that matters At CommBank, we build digital banking services used by millions. The AI Predictive Hedging team designs and runs scalable, reliable platforms that power critical business capabilities and redefine customer experiences See yourself in our team As a Staff Software Engineer, you’ll play a hands‑on technical leadership role across the full SDLC—shaping architecture, building high‑quality software, and mentoring engineers. We’re AWS‑first, running our application stacks and data platforms entirely on AWS What you’ll do Design, build, and operate secure, scalable front‑end, backend, and data solutions Lead end‑to‑end delivery on AWS: architecture, IaC, build, deploy, operate, and optimise Build Python‑based batch and large‑scale data pipelines (ETL/ELT) on AWS Develop event‑driven and streaming integrations for real‑time use cases Influence architecture across microservices, APIs, data flows, and cloud infrastructure Champion engineering excellence: code quality, testing, automation, and reliability Mentor engineers and uplift technical standards across the team Skills & experience Core (Java & Python required): Front‑end: React or Angular, TypeScript/JavaScript Backend: Java (Spring Boot) and Python microservices Data: Python data pipelines (e.g. PySpark/Beam), strong SQL Streaming: Kafka or AWS Kinesis; event‑driven patterns Architecture: Microservices, APIs, scalable and resilient systems AWS experience: Compute & containers: ECS/EKS, Fargate, Lambda Data & analytics: S3, Glue/EMR, Step Functions Integration: API Gateway, SQS/SNS, Kinesis/MSK IaC & CI/CD: Terraform or CDK/CloudFormation, GitHub Actions Observability & security: CloudWatch, tracing, IAM, encryption Nice to have: Experience deploying ML models into production (batch or real‑time) Understanding of MLOps concepts : model lifecycle, versioning, monitoring, retraining Exposure to AWS ML tooling (e.g. SageMaker or equivalent) Experience integrating ML outputs into data platforms or real‑time services We’re interested in people who Deliver high‑quality software and data solutions at scale Influence technical decisions and collaborate across teams Care deeply about engineering craft, reliability, and simplicity Mentor others and foster a culture of continuous improvement Working with us We support flexibility in how and where work is done, with at least half your time each month connecting in our Sydney office. Flexible options include adjusted start/finish times, part-time, and job share. You’ll be supported to tackle new challenges and thrive in a team that values customer impact, craftsmanship, and continuous learning. If you’re excited to build at scale on AWS across services and data, care deeply about quality, and want to make a meaningful impact for millions of customers, we’d love to hear from you. If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. 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. Advertising End Date: 29/04/2026

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