Consultant
Cloud Developer – Consulting
The Cloud Engineering team at KPMG drives cloud transformation across Azure, AWS, and GCP by delivering secure, scalable, and automated solutions. The team specializes in infrastructure automation, cloud migrations, data workload modernization, cloud value optimization etc. With deep expertise in DevOps, IaC, and cloud-native services, they enable clients to accelerate innovation and reduce operational complexity. Leveraging KPMG’s strategic alliances with major cloud providers, the team ensures tailored cloud strategies that align with business goals, optimize costs, and unlock the full potential of cloud technologies—including AI and automation—for long-term value creation.
The Role -
As a Cloud Engineering Consultant, you will support KPMG with the delivery of immediate value and impact, to customers looking to embed new and emerging technologies in their landscape. We are seeking an experienced Cloud Consultant (4–8 years) with strong expertise in either in Python / ReactJS along with exposure on Microsoft Azure or in Google Cloud Platform (GCP). The consultant will work on developing scalable software systems with cloud infrastructure, data services, DevOps, automation, and modern AI/GenAI solutions. It is an exciting time to join this team as we drive momentum and enhance our presence in cloud sector globally.
Your key responsibilities will include -
- Design, develop, and maintain web applications using Python frameworks (FastAPI/Django/Flask) and React.js.
- Collaborate with cross-functional teams to define, design, and deliver new features.
- Write clean, maintainable, and efficient code following best practices.
- Integrate applications with cloud services (AWS/GCP/Azure) for deployment and scalability.
- Troubleshoot, debug, and optimize application performance.
- Participate in code reviews and contribute to continuous improvement initiatives.
- Explore and support use cases for Generative AI (GenAI), AI/ML services, and Vertex AI / Azure OpenAI.
Mandatory Skills
- 2–5 years of professional experience in software development.
- Strong exposure on application modernization and application rationalization.
- Exposure on MS Azure or Google Cloud Platform (GCP).
- Strong proficiency in Python and one or more frameworks: FastAPI, Django, or Flask.
- Solid experience with React.js and modern front-end development practices.
- Hands-on experience with any one public cloud platform: AWS, GCP, or Azure.
- Good understanding of RESTful APIs, microservices architecture, and web security principles.
- Familiarity with version control systems (Git) and CI/CD pipelines.Strong problem-solving skills and ability to work in a fast-paced environment
Preferred Skills:
- Exposure to Generative AI (GenAI), Machine Learning pipelines, Vertex AI, or Azure OpenAI.
- Certification in GenAI technology is a plus