Senior Engineering Manager/Chapter Lead- Payments Technology

Senior Engineering Manager/Chapter Lead- Payments Technology

**Sydney or Melbourne location**

• You are passionate about creating innovative team cultures 
• We are high performing engineers pushing the boundaries of software engineering 
• Together we can lead the future of engineering with AI-powered innovation! 

Do work that matters 

We are creating the bank of tomorrow today and require top Engineers who focus on the customer experience and deliver exceptional solutions. Our Payments team is leading a transformative program to enhance customer experiences, driving innovation and exploring modern technologies in payment solutions.

As a Chapter Lead, you’ll play a pivotal role in shaping the future of Engineering at CommBank, championing cutting-edge solutions and fostering innovation that drives real-world impact. Your technical expertise and leadership will guide the team in addressing complex challenges while ensuring scalability, security, and reliability in all deliverables.

See Yourself in Our Team 

While the Payment Domain is part of the Business Banking unit, its reach extends to every part of the Bank. The team consists of engineers and technology leaders with a diverse set of skills to support this transformation. The team is also responsible for driving Engineering Governance, Continuous Delivery, and key technological simplification initiatives such as Cloud and Payments Event-based architecture

In this role  

As a Chapter Lead, you’ll lead a team of engineers designing and building payments systems and services, while remaining hands-on with the code. You will be leading with a purpose in recruiting, retaining, and developing top engineering talent while promoting psychological safety, autonomy, and mastery. 

 Here, you will be aligning your chapter’s goals with our ambition to become a global leader in Agentic and Gen AI at scale.

You'll design solutions for complex challenges within a business unit, with a strong focus on security from the first line of code. You'll also encourage others to enhance their engineering skills while building top-tier applications.

Key responsibilities will also include:  

• Create structured, recurring opportunities for engineers to learn, collaborate, and build capability especially in AI Powered Engineering. 
• Set and monitor individual development plans focused across the Full Cycle Engineering Job Framework. 
• Role model the use of Gen AI tooling, encourage experimentation, and remove fear or uncertainty around AI’s impact. 
• Foster a mindset of growth and learning through social forums like Chapter Time and Hackathons. 
• Build a high-performing chapter by attracting top talent and supporting their career development through structured learning pathways. 
• Use available metrics to track progress, identify gaps, and provide targeted support to accelerate capability uplift. 

We are interested in people who have  

• Proven experience leading engineering teams in complex, fast-paced environments. 
• Passion for uplifting capability, driving engagement, and simplifying developer experience. 
• Familiarity with Gen AI tooling, prompt engineering, and AI-enhanced development workflows. 
• Ability to balance people, culture, and technology to deliver resilient systems and delightful customer experiences. 

Technical Skills

• Cloud: AWS, Serverless, Containers, and VM Hosting
• Databases: AWS Database technologies (Aurora, RDS, Redis), ElastiCache, Oracle
• Languages: Typescript or Java or Python
• Eventing: SQS, SNS, EventBridge, KAFKA (MKS)
• Engineering: Github, Github Actions, Terraform Enterprise, Artifactory, AKKA, SST
• Observability: OpenTelemetry, Prometheus, Grafana, Observe, CloudWatch
• Security: Vault, Security Management, Parameter Store, AWS Certificate Manager, AWS Secrets Manager
• Design skills
• Testing: TDD, BDD, Automation Framework
• System Design: Tech debt, data-intensive applications, database design, API design, microservices, event-driven and serverless architecture
• Engineering: Deployment methodologies, SRE
• Payments: NPP, SWIFT, BIAN- Desirable
• AI: AI in engineering (e.g., Cline, CoPilot), RAG, MCP, Gen-AI, Agentic-AI, machine learning
• Certifications (preferrable) - AWS: AWS Solutions Architect and DevOps Engineer Professional; AI: AWS AI Practitioner and Machine Learning Specialty

 If this sounds like you, apply today!

We support our people with the flexibility to balance where work is done with at least half your time each month connecting in office