Full Stack Developer: GenAI & Web Experience (Hybrid)

Canstar

City of Brisbane

Hybrid

AUD 120,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Fully stocked kitchen
Monthly catered lunches
ClassPass benefits
Wellness perks

Job summary

Canstar is seeking a proactive Full Stack Developer to engineer the best online experience for Canstar customers. You will build high-performing web apps with Next.js/React and GraphQL backends, deployed on AWS and GCP, and integrate GenAI/agentic solutions for operations teams.

Join a cross-functional Agile squad and own end-to-end features, from customer interfaces to MCP-enabled AI agents, while upholding security and reliability in a data-rich environment.

Qualifications

  • 3–5 years of web application development experience in commercial environments.
  • Strong proficiency in JavaScript/TypeScript with hands-on Next.js/React experience.
  • Experience designing and consuming GraphQL/REST APIs and working with cloud infrastructure.

Responsibilities

  • Design, build, and maintain high-performing front-end apps using Next.js/React.
  • Develop, scale, and optimize GraphQL/REST APIs on cloud infrastructure (AWS/GCP).
  • Design relational data models in PostgreSQL and data pipelines in BigQuery/Dataform.
  • Deliver and deploy code through modern DevOps/CI pipelines targeting AWS and GCP.

Skills

JavaScript/TypeScript
Next.js/React
GraphQL/REST APIs
PostgreSQL
BigQuery/Dataform
AWS/GCP
MCP/AI integration
Security & Reliability
DevOps/CI
Testing (unit/integration/E2E)

Tools

Next.js
React
GraphQL
REST APIs
AWS
GCP
Dataform
PostgreSQL

Job description

Canstar is seeking a proactive Full Stack Developer to engineer the best online experience for Canstar customers. You will build high-performing web apps with Next.js/React and GraphQL backends, deployed on AWS and GCP, and integrate GenAI/agentic solutions for operations teams.

Join a cross-functional Agile squad and own end-to-end features, from customer interfaces to MCP-enabled AI agents, while upholding security and reliability in a data-rich environment.

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