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Senior Full Stack Developer

SLR Consulting
AUS
Full-time
Senior · 5+ years experience
Hybrid
Discovered 5 days ago
pythontypescript

Full Job Posting

About the Business

Tyton Ecological Intelligence (Tyton) builds AI-first platforms for ecological monitoring at landscape scale.

Our products, TytonAI and TytonIQ, combine machine learning, high-resolution aerial imagery (drone, aircraft and satellite), and cloud analytics to automate vegetation classification, rehabilitation monitoring, weed mapping and biodiversity assessment across thousands of hectares.

Tyton is creating a globally scalable enterprise platform that enables ecologists and environmental teams to replace manual workflows with repeatable, ML-driven processes. Learn more about Tyton and our technology at http://www.tytonei.com.

Our recent acquisition by SLR Consulting provides us with a global platform, driving us into an exciting period of growth.

About the Role

We’re looking for a Senior Full Stack Developer to join our product team focused on TytonIQ, our ecological analytics platform for condition monitoring, rehabilitation tracking, and biodiversity reporting.

It’s a role that spans frontend, backend, APIs, and spatial data, with real input into technical design decisions. This a permanent full-time role initially based in our Leederville office, with a transition to be based out of SLR Consulting’s Subiaco office, mid next year.

Key Responsibilties

Collaborate with and support your team members

Design, build and ship features across the full stack, including cloud infrastructure as code

Write clean, tested, maintainable code

Contribute to infrastructure and architecture decisions (GCP, Kubernetes, Pulumi, PostgreSQL)

Contribute to the ongoing evolution of our processes and systems to leverage AI tools

Desirable

Frontend: React, TypeScript

Backend: C#

Infrastructure: GCP, Kubernetes (GKE), Pulumi

Database: PostgreSQL + PostGIS

Other: Docker, GitHub Actions, CI/CD

Skills and Experience

At least 5 years of experience working in software delivery

Great communication skills, and an aptitude and interest in leadership

Strong React and TypeScript frontend experience

Full stack background with Typescript, Go, C#, or Python, and comfortable picking up whatever the work demands

Solid grasp of API design, scalable architecture, and cloud infrastructure

Real automated testing discipline

Genuinely curious: you enjoy learning new languages, frameworks, and tools

Experience using AI agents in your development workflow and opinions on how to get the most out of them

Background in/exposure to environmental or scientific domains

Experience with geospatial or remote sensing data

Our Benefits

A technical role with meaningful ownership of core ML systems

Fast innovation cycle from idea → experiment → production

Real-world ML problems at meaningful scale

Competitive salary + flexible hybrid work

Small, high-calibre team with real product influence

Perth-based, practical, focused, low-ego culture

Next Steps

The problems here are genuinely interesting. You'll be working on proprietary ML infrastructure applied to real ecological data, in a domain where the technical challenges and the environmental stakes are both real. The team is small and experienced, which means less overhead and more ownership, and our recent acquisition by SLR Consulting gives us a global platform from which to scale.

Apply with your CV if you’d like to grow alongside a business doing something that matters.

Qualifications

  • At least 5 years of experience working in software delivery
  • Great communication skills, and an aptitude and interest in leadership
  • Strong React and TypeScript frontend experience
  • Full stack background with Typescript, Go, C#, or Python, and comfortable picking up whatever the work demands
  • Solid grasp of API design, scalable architecture, and cloud infrastructure
  • Real automated testing discipline
  • Genuinely curious: you enjoy learning new languages, frameworks, and tools
  • Experience using AI agents in your development workflow and opinions on how to get the most out of them
  • Desirable
  • Background in/exposure to environmental or scientific domains
  • Experience with geospatial or remote sensing data

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