Senior Full Stack Engineer

Sydney, Remote. Posted 9 days ago

The role

You will design and build product features and UI across a stack including Dart, Flutter, JavaScript, Rust and WebGL. You will work on the Experience Platform to own usability, performance and visual appeal across desktop and mobile devices.

What you will do

Design and build product features and UI across a stack including Dart, Flutter, JavaScript, Rust and WebGL
Contribute to and evolve the UI and design system
Optimize and uplift rendering and interaction performance for 3D visualisation of large networks
Write and review production-quality code for performance-critical, data-intensive components
Contribute to system design and architectural decisions
Build shared components and capabilities for other engineering teams
Work with Product, Design and Customer Success to turn utility challenges into solutions

Required qualifications

Bachelor’s degree in Computer Science, Mathematics or a related field, or equivalent practical experience

Nice to have

Experience contributing to or owning a design system, component library or platform SDK
Deep proficiency with Typescript and other modern Javascript frameworks
Experience with graphics, WebGL/GPU work, or rendering large 3D scenes in a browser or desktop client
Flutter/Dart experience
A consumer product background
A track record building dense, stateful tools for expert users
Exposure to geospatial systems, utilities, energy, simulation or physics-based platforms
Strong mathematical reasoning, or a mechanical, civil or electrical engineering background
Experience building software that models the real world

Benefits

Competitive salary
Meaningful ESOP
Fully flexible working arrangements
Well-stocked office in Redfern
Regular office events

Before you apply

You will require current and unrestricted working rights
Not in a position to offer visa sponsorship

About the company

Neara uses advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents. The team utilizes AI and machine learning to accelerate data classification and complex scenario analysis.