Full-Stack Java/Spring & React AI Engineer (Hybrid)

Techforce Personnel; City of Brisbane; Hybrid; AUD 90,000 - 130,000; Full time

Job summary

Techforce Personnel is seeking software engineers to work on Java/Spring Boot and React/TypeScript with AI, on a long-term contract with a hybrid work model.

The role involves modernising legacy software, improving cloud and engineering practices, strengthening automated testing and delivery, and contributing to AI-enabled development across full-stack projects in a fast-paced enterprise environment.

Qualifications

• Strong Java and Spring Boot experience with React and TypeScript.
• Experience building and integrating APIs.
• Experience with automated testing.
• Experience with GitLab CI/CD, Docker, Kubernetes and AWS.
• Experience with GitOps/Argo CD, pipeline configuration and Kubernetes manifests.
• Experience with secure software delivery and AI-enabled engineering, including AI-generated code, tests and documentation.
• Self-starter with strong communication and collaboration skills.
• Learning mindset and ability to work in enterprise and fast-paced environments.

Responsibilities

• Working in fast paced delivery environment.
• Working on backlog of applications.
• Modernise legacy software, improve cloud and engineering practices.
• Strengthen automated testing and delivery.
• Work with agentic tools to accelerate engineering.
• Contribute to Codex powered uplift development.
• Work across modern engineering and AI assisted development practices.
• Work across full stack development.

Skills

Java

Spring Boot

React

TypeScript

AI enabled engineering

API integration

Automated testing

GitLab CI/CD

Docker

Kubernetes

GitOps / Argo CD

AWS

Tools

GitLab CI/CD

Docker

Kubernetes

Argo CD

AWS

Kubernetes manifests

Job description

Techforce Personnel is seeking software engineers to work on Java/Spring Boot and React/TypeScript with AI, on a long-term contract with a hybrid work model.

The role involves modernising legacy software, improving cloud and engineering practices, strengthening automated testing and delivery, and contributing to AI-enabled development across full-stack projects in a fast-paced enterprise environment.