
Digital Twin Systems Architect
6 days ago
About the role:
We are seeking a highly skilled and motivated individual to join our team as a Forward Deployed Engineer - Back end. As part of our Optimal Reality team, you will be responsible for designing and supporting effective delivery capability across our organisation to implement Optimal Reality and solve challenging client problems.
- You will design and develop back-end services and APIs that support real-time digital twin simulations, agentic AI agents, and event-driven applications.
- Build scalable microservices to support ingestion, transformation, and storage of high-velocity IoT, sensor, and operational data.
- Integrate with AI engines, simulation frameworks, and orchestration tools to enable autonomous decision-making and digital twin scenarios.
- Collaborate with front-end developers, data scientists, and digital twin architects to deliver full-stack solutions.
- Implement and maintain robust data models and streaming pipelines using cloud-native services.
- Ensure secure, high-availability, and low-latency system performance for mission-critical deployments.
- Automate testing, deployment, and monitoring as part of CI / CD DevSecOps practices.
- Participate in sprint planning, architectural reviews, and technical documentation activities.
- Contribute to Deloitte's Optimal Reality platform by extending core services, connectors, and reusable components.
About the team:
Our Optimal Reality team is a unique opportunity to be part of an outstanding team creating a world-class technology platform delivering solutions for clients in Australia and beyond. We ingest multiple data sources, processing millions of messages an hour and present this in real time to operators to improve their decision making and ultimately make our cities smarter and lives easier.
We use computer vision and other AI/ML to improve our understanding of what's happening and we use simulation and prediction techniques to optimise for the best possible outcome.
Our back end languages include Golang, Julia, and Python. We use GraphQL in the BFF layer and our front end applications are built with React and Javascript and uses DeckGL. We're a full stack team with skills across front end, back end, data, and devops.
We're obsessed with speed and grounded in Formula One thinking, with a clear focus on finding new and better ways of ingesting, processing, and predicting live data to create smarter and greener cities through digital twins of transport networks, new energy systems, and across supply chains - building applications to help operational staff to improve their ability to collaborate, and make the best decisions to optimally control the network.
Our team is smart, passionate, loves what they do, and has fun while doing it. An amazing opportunity to make an impact that matters with high-profile clients - be a part of one of the fastest-growing teams.
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