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About the Role

Join one of Australia's best Engineering groups working with bleeding edge tools and technologies to solve clients' biggest challenges. This role offers opportunities to advance your career while helping shape Australia’s digital future by tackling complex cloud and AI challenges and delivering enterprise-grade solutions on Azure.

Responsibilities

• Conduct requirement analysis and design, working closely with clients and teams to understand solution requirements.
• Create clear and detailed design specifications to meet client needs.
• Implement and test cloud-native, API-based, and modern integration solutions, ensuring adherence to best practices.
• Conduct thorough integration testing to ensure quality and reliability.
• Troubleshoot, diagnose, and resolve technical issues to maintain smooth solution delivery.
• Support peers through code reviews, specification reviews, and by sharing expertise.
• Engage with diverse stakeholders and collaborate with cross-functional teams.
• Stay up-to-date with the latest technical trends and explore innovative ways to solve complex problems.
• Contribute to the broader Engineering practice by sharing knowledge, developing internal assets and accelerators, and participating in initiatives.
• Apply AI-assisted engineering across the software delivery lifecycle, including requirements analysis, solution design, code generation, test creation, documentation, troubleshooting, and delivery governance.
• Utilize AI-assisted engineering tools such as GitHub Copilot, Cursor, Anthropic Claude, or AI-enabled IDE assistants.
• Design, prototype, and support AI-enabled solutions using Azure AI Foundry, Azure AI services, and tooling.

Requirements

• 2+ years of experience developing Web APIs using C# and the .NET ecosystem.
• Experience with automated unit testing.
• Understanding of various integration patterns.
• Experience using AI-assisted engineering tools.
• Practical capability applying AI-assisted engineering across the software delivery lifecycle.
• Understanding of responsible AI-assisted delivery practices.
• Experience working with Agile approaches (Desirable).
• Previous consulting, client-facing, or project delivery experience (Desirable).
• Experience with Azure DevOps, GitHub, or similar source control and CI/CD platforms.
• Experience delivering solutions on Azure using services such as API Management, App Services, Azure Functions, Service Bus, Event Grid, Logic Apps, Container Apps, and AKS (Highly desirable).
• Experience with Infrastructure as Code using Azure Bicep or Terraform, and scripting (Highly desirable).
• Relevant Azure professional certifications (Desirable).

Skills

• Self-motivated with a strong desire to solve problems and take initiative.
• AI-aware engineering mindset with curiosity and judgment to identify safe, practical opportunities to use modern AI tools.
• Ability to adopt AI-enabled practices responsibly.
• Strong interpersonal, communication, troubleshooting, and stakeholder engagement skills.
• Ability to work confidently in consulting or project delivery environments.
• Ability to provide technical leadership across design, delivery, review, and mentoring activities.
• Commitment to fostering a culture of collaboration, teamwork, support, and inclusion.
• Web API development using C# and .NET.
• Automated unit testing.
• Integration patterns.
• AI-assisted engineering tools (e.g., GitHub Copilot, Cursor, Anthropic Claude).
• Responsible AI-assisted delivery practices.
• Azure AI Foundry, Azure AI services, and tooling.
• Azure DevOps, GitHub, or similar CI/CD platforms.
• Azure services (API Management, App Services, Azure Functions, Service Bus, Event Grid, Logic Apps, Container Apps, AKS).
• Infrastructure as Code (Azure Bicep or Terraform).
• Scripting.
• Azure professional certifications.

Location

• Australia

Work Type

• Flexible working options

Experience Level

• 2+ years experience

Benefits

• Mentoring, coaching and leadership programs
• Purposeful client work with real community impact
• Explore opportunities for global mobility and internal secondments
• Retail discounts
• Wellbeing leave
• Paid volunteering days
• Twelve flexible working options
• Market-leading parental leave and return to work support package

About the Company

• Deloitte's Engineering Practice is leading the way that organisations leverage Cloud and AI technologies to realise their transformation potential and solve their most complex challenges.
• Our engineering team consists of thought leaders and specialists in platform engineering, cloud-native development, modern integration engineering, and AI engineering.
• We assist our clients in accelerating towards a technology-driven future by implementing leading-edge, tailored cloud platforms, as well as software and AI engineering solutions.
• At Deloitte, we focus our energy on interesting and impactful work.
• We’re always learning, innovating and setting the standard; 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.
• 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 to cultivate inclusion; so that our work environment is a safe space we can all belong.
• We value in-person connection with our clients and our colleagues.
• We help you live and work well.

Equal Opportunity

• By applying for this job, you’ll be assessed against the Deloitte Talent Standards.
• The preferred candidate will be subject to background screening by Deloitte or by their external third-party provider.