Job Requisition ID: 36628
We offer:
1. Flexible work arrangements - work in a way that suits you best. Learn more at
2. Rewards platform - your hard work won't go unnoticed at Deloitte.
3. Training and development - at Deloitte we believe in investing in our best assets, the people. You will have access to world class training and funding for industry and other professional certifications. You’ll also work with wide range of clients, technologies, and methodologies, which will accelerate your learning.
4. 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.
5. A culture where we listen to each other and pride ourselves in delivering the best possible outcomes. Most importantly, we love to have fun.
We’re committed to continually building a safe and respectful workplace, where all our people feel appreciated and accepted. Through the creation of endorsed employee-led diversity networks which promote cultural, disability, LGBTI+, Aboriginal and Torres Strait Islander people and gender equality, we’re leading the way to shape an environment where everybody can thrive.
About Us:
Engineering AI& Data (EAID) are an integrated team of industry specialists, technologists, and operations transformation experts. We work with our clients to transform and run their technology platforms, optimise their operations, and help them take advantage of new technologies, drive innovation, improve financial performance and accelerate speed to market.
About the Team:
The Engineering offering provides services to clients across the full lifecycle of software delivery that drives enterprise value by combining an engineering mindset with a product-centric model and business insights. Capability areas include:
6. Cloud & Engineering
7. Platform Development and Integration
8. Cloud and Infrastructure Engineering
9. Secure Network & Operations Engineering
10. Application Modernisation
11. Quality Engineering
This position sits within Application Modernisation capability.
What will your day to day look like;
12. Cultivate and maintain strong relationships with senior client stakeholders, acting as a trusted advisor on all aspects of application moderniszation.
13. Lead complex app moderniszation projects, ensuring delivery on time, within budget, and to the highest quality standards.
14. Lead the design of scalable cloud-native architectures, converting legacy systems into microservices while aligning with business and technical goals.
15. Develop and execute cloud migration strategies (AWS, Azure, GCP), ensuring high availability, security, and cost efficiency.
16. Advise clients on selecting the right technology stack and tools for automation, CI/CD, and cloud management to optimisze performance and scalability.
17. Guide clients through complex architectural decisions, technology implementations, and best practices for moderniszation.
18. Partner with product owners and engineering teams to define project scope and deliver tailored solutions to meet business and technical needs.
19. Help clients integrate and tailor technologies to drive operational efficiency and accelerate delivery.
20. Provide mentorship, harvest artefacts, and stay current with emerging technologies to continuously refine architectural strategies.
Required Skills:
Technical expertise with around 15 years of experience in Software engineering.
21. Cloud Expertise: Extensive experience with cloud platforms like AWS, Azure, or Google Cloud, including the design and execution of cloud migrations, architecture, and service integrations.
22. Microservices & Modern Architectures: Expertise in transitioning from monolithic to microservices architectures, event-driven systems, containerised solutions, and serverless applications.
23. DevOps & Automation: Deep understanding of DevSecOps practices, including the implementation of CI/CD pipelines, infrastructure as code (IaC), and container orchestration (e.g., Docker, Kubernetes).
24. Technology & Tools: Familiarity with modern development frameworks, languages (Java, Python, .NET, etc.), and tools for automation, cloud management, and performance monitoring.
25. Consulting & Leadership: Strong consulting experience with the ability to lead client engagements, communicate complex technical concepts clearly, and manage stakeholder expectations effectively.
26. Problem Solving & Innovation: Excellent analytical skills with the ability to address complex technical challenges, propose innovative solutions, and deliver value to clients.
27. Agile Methodologies: Experience working in Agile environments, applying methodologies like Scrum and Kanban to deliver iterative, high-quality results.