Consultative Offerings - Analyst - Software Engineering

Are you ready to go beyond your potential and reach something greater? At Deloitte, we believe in more than just growth- we believe in exponential possibilities.

Here, your unique talents and ambitions are amplified by the power of our collaborative teams, innovative thinking, and mentorship.

When you join Deloitte, you don't just build a career- you unlock unlimited opportunities, shaping your future and the world around you.

Take the power of you and put it to the power of Deloitte.

Reach your exponential !

Recruiting for this role ends on 12/01/2026.

Work You'll Do

As a Software Engineering Analyst , y ou'll develop practical skills in agile methodologies, DevOps, cloud-native development, and modern software engineering best practices including AI-led engineering .

We provide ongoing learning opportunities, mentorship, and access to a wide range of projects and industries-ensuring you'll always have new challenges to tackle and skills to master.

In this role, you'll apply your engineering mindset to real-world software product development across a diverse set of industries.

You'll progress on a technical career path that enables you to grow into advanced engineering roles, with the flexibility to pivot across different areas of software development.

You will work in an AI-native engineering practice where AI tools are a core part of the development workflow, not a side tool - used daily for implementation, debugging, refactoring, and review.

Whether you aspire to be a hands-on technical architect, a cloud integration expert, a DevOps specialist, or another technical leader, Deloitte will support your ambitions.

We promise you'll never run out of challenges to learn and grow.

Key Responsibilities:


* Collaborate within agile scrum teams to design, build, and deploy scalable software solutions



* Develop cloud-native applications using platforms like AWS, Azure, or Google Cloud, leveraging microservices and containerization (Docker, Kubernetes)



* Use AI tools as a core part of the daily development workflow - for implementation, debugging, refactoring, test generation, and code review - applying strong engineering judgment to prompt, steer, and validate AI-generated code in production systems.



* Implement DevOps practices, including CI/CD pipelines and infrastructure as code, to streamline and automate software delivery



* Apply test-driven development (TDD) and integrate security best practices (DevOps) throughout the software lifecycle



* Use modern collaboration and version control tools such as Jira, Confluence, and GitHub.



* Continuously learn and adapt to new technologies , and frameworks , often in a hybrid work setting , as part of a dynamic, fast-paced environment

You will tackle complex problems , potentially in a hybrid setting, for our clients while collaborating with team members from diverse backgrounds and experiences to build full-stack cloud applications using the latest cloud techn...