Optimal Reality Technical Lead

Job Requisition ID : 39173

• Flexible work arrangements - work in a way that suits you best. Learn more at
• Rewards platform - your hard work won't go unnoticed at Deloitte.
• Training and development - at Deloitte, we believe in investing in our people. You will have access to world-class training and funding for industry and professional certifications. You'll work with a wide range of clients, technologies, and methodologies, which will accelerate your learning.
• Support and coaching to progress your career. You will have access to mentors and coaches who will help you pave a path for career progression.
• A culture where we listen to each other and pride ourselves in delivering the best outcomes. Most importantly, we love to have fun.

We're committed to building a safe and respectful workplace where all our people feel appreciated and accepted. Through employee-led diversity networks promoting cultural, disability, LGBTI+, Aboriginal and Torres Strait Islander peoples, and gender equality, we're leading the way to create an environment where everybody can thrive.

Are you excited and passionate about helping public and private sector organizations transition to a cleaner, greener, and innovative future while growing your consulting skills? Deloitte is the place for you.

What will your typical day look like?

As a Technical Lead / Solution Architect in the Optimal Reality team, you will design and support effective delivery capabilities across Deloitte to implement Optimal Reality solutions to solve challenging client problems.

• Define technical solutions for end-to-end intelligent systems that combine real-time data, simulation, GenAI, and agentic AI capabilities.
• Provide technical architecture support and guidance for delivery teams.
• Lead core product development activities for scaled client implementations.
• Support business development, including preparing client proposals and scoping engagements.
• Present and explain the Optimal Reality solution in client presentations.
• Collaborate with Forward Deployed Engineers to implement client solutions aligned with product vision.

About the team :

Optimal Reality is Deloitte's advanced Digital Twin platform. We help organizations in asset-intensive industries visualize, understand, control, and optimize their operations in real time using data and digital technologies. Being part of this team offers a unique opportunity to work on a world-class technology platform delivering solutions in Australia and beyond.

We process millions of messages hourly from multiple data sources, presenting real-time insights to improve decision-making and make cities smarter and lives easier. We utilize computer vision, AI/ML, simulation, and prediction techniques to optimize outcomes.

Our backend languages include Golang, Julia, and Python. We use GraphQL for the BFF layer, and our front-end applications are built with React, JavaScript, and DeckGL. We are a full-stack team with skills across front-end, back-end, data, and DevOps.

Driven by speed and inspired by Formula One, we focus on ingesting, processing, and predicting live data to create smarter, greener cities through digital twins of transport networks, energy systems, and supply chains—helping operational staff collaborate and make optimal decisions.

Our team is smart, passionate, loves what they do, and has fun while doing it. This is an excellent opportunity to make a meaningful impact with high-profile clients as part of one of our fastest-growing teams.

Enough about us—let's talk about you.

You are a highly motivated individual with :

• Extensive experience in client-facing or technical advisory roles, in-house or in consulting.
• Experience leading complex technology transformation projects, managing senior relationships with public and private sector organizations.
• Shaping technical solutions and cloud architecture, especially AWS-based.
• Experience with scaled cloud deployments, including DevOps, security, and infrastructure.
• Experience with digital twin or simulation implementation.
• Technical development experience, preferably in microservices systems.
• Familiarity with Python, Julia, SQL, Kubernetes, Docker, and Terraform.
• Experience with GenAI, LLM engineering, and agentic AI systems.
• Possession or eligibility for an AGSVA baseline clearance.