Optimal Reality Technical Lead

Job Requisition ID: 39173

• Flexible work arrangements - work in a way that suits you best. Learn more at our careers page.
• 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 also 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 organisations transition to a cleaner, greener, and innovative future while growing your strategic and operational 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 for challenging client problems.

• Define technical solutions for end-to-end intelligent systems combining 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 proposals and scoping client engagements.
• Present and explain the Optimal Reality solutions in business development 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 organisations in asset-intensive industries use data and digital technologies to visualise, understand, control, and optimise their network-based operations in real time. Being part of this team offers a unique opportunity to create a world-class technology platform delivering solutions for clients in Australia and beyond.

We process millions of messages per hour from multiple data sources and present this in real time to improve decision-making and make cities smarter and lives easier. We leverage computer vision, AI/ML, simulation, and prediction techniques to optimise outcomes.

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

Obsessed with speed and grounded in Formula One thinking, 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. Our goal is to develop applications that help operational staff collaborate and make optimal decisions.

Our team is smart, passionate, loves what they do, and has fun. This is an amazing opportunity to make an impactful contribution with high-profile clients—be part of one of the fastest-growing teams.

Enough about us, let's talk about you.

You are a highly motivated individual with:

• Extensive experience in a client-facing or technical advisory role, in-house or in consulting.
• Experience leading complex technology transformation projects, managing senior relationships with public and private sector organisations.
• Shaping technical solutions and cloud architecture, especially AWS-based architecture.
• Experience in scaled cloud deployment, including DevOps, security, and infrastructure.
• Experience with simulation/digital twin 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.