Date:
11 Aug 2026
Location:
Brisbane, QLD, AU
Department:
Technology & Transformation
Description:
Job Requisition ID: 41600
Azure Software Engineering Lead | Engineering, AI & Data | Brisbane
Join our Engineering, AI & Data team in Brisbane and help clients solve complex technology problems through cloud engineering, AI-enabled delivery and modern software development practices.
What will your typical day look like?
Some engagements will see you turning an unclear client brief into an architecture, delivery approach or technical design that a team can build and operate with confidence. On others, you'll be hands-on designing and developing APIs, integrations, event-driven services and cloud-native solutions running on Microsoft Azure.
You'll work closely with clients, stakeholders, and engineering teams to translate business requirements into practical technical solutions, balance quality, risk, time-to-value, and long-term maintainability.
Your day-to-day responsibilities may include:
Designing, building and supporting cloud-native applications, APIs, integrations and distributed systems.
Working directly with clients, facilitating workshops, gathering requirements, and translating business needs into technical solutions.
Contributing to solution design, technical estimation, planning and delivery within Agile teams.
Building and maintaining Azure-based solutions across application, integration, and infrastructure layers.
Implementing engineering best practices including code reviews, automated testing, observability, security and DevOps automation.
Applying AI-assisted engineering practices across analysis, design, development, testing and documentation.
Communicating technical concepts, risks and trade-offs to both technical and non-technical stakeholders.
Collaborating with engineers, architects and delivery teams across Brisbane, Melbourne, Sydney and Canberra.
Supporting junior engineers through mentoring, knowledge sharing, and continuous improvement initiatives.
Contributing to reusable assets, engineering standards, and delivery of accelerators across the practice.
About the team
Deloitte's Engineering, AI & Data team helps organizations design, build and scale modern technology solutions that solve meaningful business problems. The team works across cloud platforms, software engineering, data and AI to deliver complex transformation programs in sectors where reliability, trust and impact matter.
You'll be part of a collaborative and high-performing team that values strong engineering fundamentals, practical problem solving, continuous learning, and the thoughtful application of AI to improve delivery outcomes.
Enough about us, let's talk about you
You may have all or some of the following skills and experience:
Around 5+ years of professional software engineering experience, including building, deploying and supporting production systems.
Experience working directly with clients, facilitating workshops, gathering requirements and translating business needs into technical solutions.
Strong adoption of AI-assisted engineering practices. You should be able to demonstrate how AI tooling has improved your productivity, software quality or delivery outcomes while maintaining accountability for what is delivered.
Strong experience with C# and .NET for web APIs and services, or adjacent experience in Java or Python with the ability to move confidently across languages.
Experience designing and delivering cloud-native applications, APIs, integrations and event-driven services.
Experience working with Azure services such as API Management, App Services, Functions, Service Bus, Event Grid, Logic Apps, Container Apps or AKS.
A solid understanding of integration patterns, automated testing, Infrastructure as Code, CI/CD and source control in real delivery environments.
Experience implementing Infrastructure as Code using Terraform or Bicep.
Experience building and maintaining CI/CD pipelines using Azure DevOps or GitHub.
Experience implementing engineering best practices including code reviews, automated testing, observability, security and DevOps automation.
Experience contributing to solution design, estimation, planning and delivery within Agile environments.
Confidence working through ambiguity, identifying the real problem to solve and explaining technical trade-offs in clear business language.
Experience using AI engineering tools in your day-to-day workflow, with sound judgement around quality, risk, provenance and human review.
Experience engaging with both technical and non-technical stakeholders to communicate delivery progress, risks and solution options.
A collaborative mindset with the ability to mentor others, review code thoughtfully and contribute to stronger engineering standards and reusable assets.
Nice to have
Previous consulting or professional services experience.
Azure certifications.
Agile delivery experience.
Experience with Azure OpenAI, Azure AI Foundry or AI-enabled application development.
Exposure to agentic AI frameworks, orchestration patterns and intelligent automation solutions.
Experience working within government, financial services, or other regulated industries.
Why Deloitte?
At Deloitte, we focus our energy on interesting and impactful work. We're always learning, innovating and setting standards, making a positive difference to our clients and our society. We put coaching at the heart of what we do, helping our people grow their careers in any direction, whether it be up, moving into something new, or even moving across the world.
We embrace diversity, equity and inclusion. We have a diverse collection of people from different backgrounds, with different experiences, gender identities, abilities, and thinking styles. What binds us together is a shared commitment to value everyone's perspective and cultivate inclusion, so that our work environment is a safe space where we can all belong.
We value in-person connection with our clients and colleagues. We offer several ways for you to work flexibly so that you can serve your clients, stay connected with your team and manage your personal priorities.
We help you live and work well. To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days, twelve flexible working options, market-leading parental leave and return-to-work support packages.
