Summary
A hands-on backend engineering role focused on building scalable enterprise AI systems. The position requires strong backend fundamentals, cloud expertise, production experience, and the ability to make architecture decisions while collaborating with a global engineering team.
Highlights
Opportunity to build enterprise AI solutions with significant technical ownership, modern cloud architecture responsibilities, and an AI-assisted engineering workflow. Includes equity participation and exposure to impactful backend and infrastructure work.
Description
A hands-on backend engineering role: deep Azure, strong backend fundamentals, AI-native development.
Sydney-based, global team, shipping real enterprise AI products.
WHO WE ARE
Enterprise AI is a Sydney startup helping organisations put AI to work - properly.
We're a small, sharp team across Sydney, Manila and New York, and we build the way we tell our clients to: AI agents do a large share of the engineering work, and humans direct, review and ship.
THE ROLE
We're looking for a Backend Engineer with genuine Azure depth to join our Sydney team.
Azure is an important part of our architecture, so we need someone who can go beyond simply using cloud services — you should be able to reason confidently about architecture, infrastructure and production decisions.
You'll stay hands-on, build with AI coding agents, and work across backend engineering, Azure and production systems.
YOU WILL
Build and maintain backend services and APIsWork with Python and/or TypeScriptDesign systems using databases, APIs and microservicesMake sound architecture and infrastructure decisions across Microsoft AzureDeploy, monitor and improve production systemsWork across CI/CD, DevOps and data managementReview AI-generated code and make sure it meets engineering and production standardsImprove testing, reliability, security and engineering qualityWork closely with the Sydney and Manila engineering teamsUnderstand our stack and architecture quickly and take ownership without needing heavy support
YOU
Around 3–5 years in software engineeringStrong backend engineering fundamentalsStrong Python and/or TypeScript experienceGenuine depth with Microsoft AzureConfident reasoning about cloud architecture and infrastructureStrong understanding of databases, API design and microservicesHave deployed and supported real software in productionExperience with CI/CD, DevOps and data managementComfortable using AI coding tools as part of your engineering workflowStrong technical judgement and able to work independentlyLearn quickly and enjoy startup environments
NICE TO HAVE
Solution architecture experienceQA and automated testingIdentity and access managementInfrastructure and security experienceAI/LLM product experienceClaude Code, Codex, Cursor or similar AI engineering tools
WHAT WE OFFER
A$95K-$110k base + superannuationESOP bonus - giving you the opportunity to share in the value you help createAn AI-native engineering team where AI agents are already part of how we buildSignificant technical ownership across backend, Azure and production architectureDirect impact on the product, engineering practices and company growth
HOW TO APPLY
Please include one short paragraph at the top of your CV: the most technically challenging backend or Azure system you have shipped, what you personally owned, and one important architecture or infrastructure decision you made.
We reply to everyone.
