Jobs at Commonwealth Bank

Lead design and delivery of Payments Platform solutions: implement BIAN APIs, build CI/CD pipelines, deploy cloud and WebSphere applications, mentor engineers, collaborate with architects and stakeholders, and improve production support, monitoring, and automation.

Design, develop, test, maintain, and support Java and Spring Boot applications and microservices. Build Kafka-based event-driven solutions and AWS cloud services, contribute to CI/CD pipelines using GitHub Actions, and apply DevSecOps practices. Translate requirements into scalable software, participate in code reviews and troubleshooting, improve application reliability and performance, and collaborate with engineers, architects, product owners, and business stakeholders.

Lead design and delivery of payments platform architecture and greenfield solutions. Define engineering strategy, design BIAN APIs, guide API/backend/data/cloud teams, prototype integrated end-to-end solutions, improve core product systems, and provide technical leadership across discovery, estimation and production-ready delivery.

Perform end-to-end validation of credit risk and AI models: assess data quality, methodologies, model performance, and regulatory compliance; engage stakeholders to report findings and recommendations; and drive continuous improvement in validation frameworks, tooling, and processes using SAS/R/Python/SQL and modern notebook and AI tools.

Develop and deploy machine learning, generative AI, and agentic AI solutions for banking operations. Responsibilities include data preparation, feature engineering, model development and evaluation, prompt engineering, RAG, guardrail testing, production monitoring, and collaboration with engineers and business stakeholders. The role also supports responsible AI governance, cloud-based delivery, and continuous improvement of customer and colleague experiences.

Design and deliver cloud-native microservice solutions for Business Lending. Define high-level architecture, implement secure, test-driven code, optimize deployments to AWS, and support monitoring, DevOps, and engineering best practices while mentoring teams.

Lead design and delivery of enterprise AI platform capabilities for Lending: migrate workloads to AWS/EKS, implement IaC, observability, security, and governance, embed ML services, ensure production-grade reliability, and mentor offshore engineering teams.

Lead and develop engineering managers and teams for database and DevSecOps enablement. Set technical direction, ensure platform reliability, security, migration of on‑prem databases to AWS, governance, and delivery outcomes while partnering with product, risk, and executive stakeholders.

Design, build and operate cloud-native services, APIs and data products to support credit risk decisioning. Lead technical design, code reviews, and modernisation/migration of legacy platforms into cloud-native, event-driven architectures. Ensure testing, observability, and operational readiness, support production operations, and mentor offshore engineering teams while championing engineering excellence.

Lead security design reviews, threat modelling and architecture assessments; develop reusable security patterns and automated security controls; embed security into SDLC/CI-CD; design cloud-native secure solutions, APIs and data pipelines; partner with engineering and mentor teams on DevSecOps, security automation and AI-enabled risk assessment.

Lead design and implementation of secure solutions, perform threat modelling and secure design reviews, build reusable security patterns, drive DevSecOps and security automation, mentor engineering squads, and support incident response and cloud/container security across the organisation.

Lead application security within DevSecOps: embed and operate SAST/DAST and pipeline security tools, develop secure coding guidance and policies, triage and remediate findings, liaise with development and stakeholders, and maintain roadmaps and reporting for application security initiatives.

Develop and enhance credit-risk models (PD, LGD, EAD) using advanced statistical/econometric techniques in R/Python. Prepare and manipulate data, analyse model impact on expected loss and RWA, document methods, and collaborate with validation, data, implementation, and business teams.

Senior SAP ABAP engineer responsible for designing, developing, and delivering end-to-end ABAP solutions on S/4HANA. Collaborate with architects and business teams, govern medium/low complexity designs, perform debugging and performance tuning, ensure code quality and test automation, mentor teams, and follow SAP release and design standards.

Develop and enhance credit risk models (PD, LGD, EAD) using statistical and econometric techniques in R/Python; prepare and manage data, quantify model impacts on expected loss and RWA, document results, and engage stakeholders across model validation, data teams, and business units.

Design, build, and lead production-grade agentic AI systems: multi-agent orchestration, backend services, LLM evaluation, observability, and AWS deployments while mentoring engineers and enforcing DevOps and security best practices.

Lead and manage multiple software engineering projects, design high-level solution architectures, develop and deploy secure cloud-native software, mentor engineers, drive engineering practices, collaborate across teams, provide technical estimates and contribute to internal engineering knowledge sharing.

Lead delivery and support of regulatory reporting solutions (Axiom), refactor calculation logic into the strategic data platform, support Ab Initio integration, manage production reporting incidents and NASDAQ/vendor tickets, coordinate releases and platform upgrades, and provide technical leadership and mentoring to offshore engineering teams while driving DevSecOps, test automation, and engineering capability uplift.

Lead design and implementation of scalable, cloud-native backend systems using Java, Spring Boot, Kafka, and AWS. Build microservices, resilient distributed architectures, optimize databases and SQL, drive CI/CD, observability, and mentor engineering teams to deliver secure, high-quality production services.

Design, develop, and maintain .NET Core applications and microservices on AWS. Lead CI/CD, automate pipelines, troubleshoot production issues, collaborate with application teams, and ensure platform stability and security. Mentor engineers and apply DevOps, monitoring, and AI tools.