Remote Staff Software Engineer - Global Lending Platform

Afterpay

Melbourne

On-site

AUD 180,000 - 280,000

Full time

5 days ago
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Benefits offered by this job

Medical insurance
Remote work
Flexible time off
Retirement plans
Inclusive workplace

Job summary

Afterpay is seeking a Staff Software Engineer for the Consumer Lending Team in Melbourne to lead technical strategy and build scalable Global Lending solutions for 24M+ customers across Afterpay, Cash App and Web Portals.

You will own end-to-end delivery, collaborate with cross-functional teams, drive reliability improvements, and champion initiatives with wide organizational impact while embracing AI tools to boost speed and quality.

Qualifications

  • 10+ years of experience building scalable software using JVM languages.
  • Experience with Spring Boot and ORM/Hibernate.
  • Experience with gRPC, Kafka, Redis, Temporal.
  • Cloud experience, preferably AWS.
  • Strong logging, monitoring, and alerting practices.
  • Experience in agile environments.

Responsibilities

  • Own software lifecycle end to end - design to production and support.
  • Collaborate in cross-functional Product engineering teams to drive discovery, delivery and validation of features.
  • Drive system consolidations and service improvements for reliability and performance.
  • Identify and champion technical initiatives with organizational impact beyond team boundaries.
  • Influence technical direction and standards across multiple teams.
  • Leverage AI tools to improve engineering speed, quality and learning.

Skills

Java / Kotlin
Spring Boot
Hibernate / ORM
gRPC
Kafka
Redis
Temporal workflow
Relational & NoSQL DBs
AWS Cloud
Logging & tracing
Testable code / high test coverage
Agile / fast-moving

Job description

Afterpay is seeking a Staff Software Engineer for the Consumer Lending Team in Melbourne to lead technical strategy and build scalable Global Lending solutions for 24M+ customers across Afterpay, Cash App and Web Portals.

You will own end-to-end delivery, collaborate with cross-functional teams, drive reliability improvements, and champion initiatives with wide organizational impact while embracing AI tools to boost speed and quality.

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