Senior Software Engineer - Digitisation

As a Senior Software Engineer in our Digitisation group, your goal is to make building digital twins self-service.

Our digital twins are built from LiDAR, imagery and other data sources using a mix of machine learning and algorithms, and then refined by our global delivery teams. You’ll build the platform that sits between those algorithms and the people who deliver with them. When you succeed, a user can:

Run the build without help: Take the process from start to finish. When a step fails, they can see what went wrong and unblock it without a developer.

Fix what the algorithms got wrong: A clean run doesn’t guarantee a correct model. Users can find where the output is off, fix it quickly and confirm it’s right before they finish. Several people can work on the same model at once without conflict.

Know where they stand: Users see machine time, human correction time, processing errors and output quality at every stage. They get an early forecast of final throughput and quality, early enough to act on it.

Our stack spans a Dart-based client application, high-performance C++/Rust computation and simulation engines, and a Java backend for large-scale data services and APIs. Whether your own background is front end, backend, or systems, what matters is that you can earn credibility with engineers working in unfamiliar territory and know which technical trade-offs are worth your attention.

WHAT YOU WILL OWN

The interface between the algorithms and the people who use them - Model quality, before the model reaches any downstream use case. Surfacing problems clearly enough that non-developers can act on them, and feeding human corrections back into our ML systems as training and evaluation data

The frameworks that let this scale - Breaking work into standard, repeatable units that are measured the same way across projects and regions, so they can be forecast

Tooling performance - Our delivery teams work in this platform all day. Load times and interaction latency decide how much work gets done and how good it is.

Rollout, not just the build - Your users are internal teams spread across global regions, and rollout isn’t done until people are using what you’ve built.

WHAT YOU’LL BRING

A strong track record designing and shipping complex, production-grade systems

Care for the end-user experience, especially for expert users who spend all day in your tools

Product sense: you get to know your users, gather good requirements and stay focused on outcomes

Depth of experience & interest in modern programming languages such as Java, C++, Dart, TypeScript, WebGL, and Python

The ability to get up to speed quickly in unfamiliar technical areas and deliver ambitious work in steps

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

Nice to haves

Human-in-the-loop systems: review and QA workflows, task routing and assignment, or consensus and adjudication at scale

Owning a DSL, expression language or low-code surface that other teams build on

Supporting distributed operational teams across time zones

Building dense, stateful tools for expert users (e.g. CAD, GIS, IDEs or serious data visualisation)

Exposure to geospatial systems, LiDAR, utilities, energy or physics-based platforms

Interested in the machine learning side of Digitisation? See our Machine Learning Engineer role.