Software Engineering Manager/ Chapter Lead

Customerscommercialfinance

Sydney, Australia
Lead and inspire engineering teams
Decomposition of monoliths and build microservices
Solve complex technical challenges
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 and build microservices
  • Solve complex technical challenges
  • Define architectural standards
  • Address tech debt pragmatically
  • Translate requirements into deliverables
  • Mentor engineers and hire talent

Nice-to-have

  • Passionate, driven, flexible and collaborative
  • Big thinkers engineering the future
  • Bold innovation
  • Exceptional customer experiences
  • Pragmatic, commercially focused approach

Key Requirements

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

Work Rights

Not specified

Tailored Resume

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