Founding Engineer (AI/Data Infrastructure)

at a 
Data-center AI Startup
Type of role:  
Full-time,Part-time,Join as co-founder
Location
Sydney
Pay
Equity provided
Yes
Working style
Hybrid
Team size
1-4
Seniority
Main skills
Company's funding stage
Bootstrapping
Date posted
July 29, 2025

About the company

AI driven infrastructure intelligence startup revolutionising how data centres are planned, built, and optimised. We’re building an end-to-end platform that uses AI to automate site selection, power optimisation, ESG compliance, and more , starting with the future of datacenter development in APAC and beyond.

About the job

We’re looking for a Founding Engineer to join at day zero — someone ambitious, technical, and excited to help build the AI driven infrastructure platform of the future.

As an early technical hire, you’ll work directly with the founder to build the MVP from scratch. You’ll architect core systems for AI powered site selection, infrastructure intelligence, and ESG optimisation ,solving real world problems around how data centres are designed, located, and deployed.

This is a rare chance to own meaningful equity and help define not just the product, but the company. You’ll play a key role in early technical decisions, help shape culture, and grow into a leadership role as we scale. If you’re a builder who’s excited by 0→1 problems, deep tech, and making infrastructure smarter and more sustainable, we’d love to talk.

Requirements

Job Requirements or Expectations 2+ years of experience in software engineering (can be in backend, infrastructure, or full-stack) Strong builder mentality , you're comfortable going from zero to one, fast Experience with Python, Node.js, or similar backend stacks Familiarity with cloud platforms (e.g. AWS, GCP) and building scalable systems Interest in working with AI/ML, geospatial data, or optimization algorithms Ability to make architecture decisions and take ownership of product direction Passion for infrastructure, sustainability, or systems with real world impact Willingness to work in a dynamic, resource limited startup environment Bonus: experience with LLMs, GIS tools, or energy/sustainability data
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