Backend Engineer: AI-Driven Microservices (Java)

AI Chopping Block, Inc.; Auckland; On-site; NZD 90,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

AI tooling investment

Multicultural team

Job summary

ERoad is seeking an intermediate Software Engineer to own backend features end to end, designing for security, scalability and testability from the start.

You’ll build and evolve microservices and RESTful APIs for a cloud-native, event-driven SaaS platform, and decompose work for AI agents while reviewing AI-generated output before it merges. You’ll also participate in on-call rotations and collaborate closely with the Chapter Lead.

Qualifications

• Production experience with Java in backend systems.
• Hands-on experience using AI coding tools or agents in real engineering work, including reviewing and correcting AI-generated output before merge.
• Experience with AWS is preferred for this Java and Spring stack, though equivalent cloud-native experience on another platform is fine if your Java depth is strong.

Responsibilities

• Own backend feature delivery end to end, designing with security, scalability and testability in mind from the start.
• Build and evolve microservices and RESTful APIs for a cloud-native, event-driven SaaS platform.
• Decompose engineering tasks into work suited to AI agents versus work that needs human judgement.
• Review and correct AI-generated code before it merges, catching failure modes before they reach production.
• Design and implement automated tests across unit, component and integration levels.Take part in an on-call rotation, compensated per EROAD policy.
• Report to the Chapter Lead as part of a collaborative engineering team.

Skills

Java backend

AI coding tools

AWS

Microservices

RESTful APIs

MongoDB

PostgreSQL

SQL Server

CI/CD

Git

Testing

Docker

Observability

On-call support

Tools

Spring framework

CI/CD pipelines

Git

Job description

ERoad is seeking an intermediate Software Engineer to own backend features end to end, designing for security, scalability and testability from the start.

You’ll build and evolve microservices and RESTful APIs for a cloud-native, event-driven SaaS platform, and decompose work for AI agents while reviewing AI-generated output before it merges. You’ll also participate in on-call rotations and collaborate closely with the Chapter Lead.