Software Engineering Manager/ Chapter Lead

CBA New Digital Businesses Pty Ltd

Sydney, Australia
Lead and inspire engineering teams
Decomposition of monoliths
Build microservices and event-driven architectures
As an Engineering Manager, you’ll lead a talented team of engineers, champion cutting-edge solutions, and drive real-world impact

Job Summary

  • As an Engineering Manager, you’ll lead a talented team of engineers, champion cutting-edge solutions, and drive real-world impact.
  • You’ll guide the team through complex challenges, ensuring scalability, security, and reliability in everything we deliver.
  • We support our people with the flexibility to balance where work is done with at least half your time each month connecting in our Sydney or Melbourne office.

Matching Summary

As an Engineering Manager, you’ll lead a talented team of engineers, champion cutting-edge solutions, and drive real-world impact.

Skills & Requirements

Must-have

  • Lead and inspire engineering teams
  • Decomposition of monoliths
  • Build microservices and event-driven architectures
  • Solve complex technical challenges
  • Define architectural standards
  • Address tech debt pragmatically
  • Translate requirements into deliverables

Nice-to-have

  • Passion for technology
  • Big thinkers
  • Bold innovation
  • Exceptional customer experiences
  • Pragmatic, commercially focused approach

Key Requirements

  • Experience in AI/ML Engineering
  • Experience leading large-scale initiatives
  • Experience with C#, .Net, Go, or Java
  • Experience with AWS, Serverless, Containers, or VM Hosting
  • Experience with Aurora, RDS, Redis, ElastiCache, or Oracle
  • Experience with SQS, SNS, EventBridge, or Kafka
  • Experience with GitHub, Terraform, Artifactory, or AKKA
  • Experience with OpenTelemetry, Prometheus, Grafana, or CloudWatch
  • Experience with Vault, AWS Secrets Manager, or Certificate Manager
  • Experience with TDD, BDD, or Automation Frameworks
  • Experience with Data-intensive apps, API/microservices/event-driven/serverless architecture
  • Experience with Deployment & SRE methodologies
  • Side projects or commercial experience with AI tools
  • AWS Solutions Architect / DevOps Engineer Professional certification (preferred)
  • AWS AI Practitioner / Machine Learning Specialty certification (preferred)
  • Certified Kubernetes Administrator (CKA) / Developer (CKD) (preferred)

Work Rights

Not specified

Tailored Resume

Cover Letter