Job Description

Cloud Engineering – Consulting

The Consulting business at KPMG Global Services (KGS) is a diverse team of more than 6400 professionals. We work with KPMG Firms worldwide to transform the businesses of clients across industries through the latest technology and innovation. Our technology professionals combine deep industry knowledge with strong technical experience to navigate through complex challenges and deliver real value for our clients.

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.

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

The person

• Outstanding interpersonal skills with the ability to inspire teams and develop excellent client relationships
• Previous experience in consulting and working on complex solutions to business executives
• Track record in advisory of complex large-scale architectural solutions on cloud
• prise-wide environment (including migration of on-premise workloads to the cloud)
• Embraces a growth mindset for business development, with an ability to influence senior stakeholders
• Excellent communication (written and oral) skills capable of discussing complex ideas with various groups, ranging from a board room to business unit leads.
• Good team player with strong commitment to professional and client service excellence.

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.

• Minimum Bachelor's degree in Computer Science, Information Technology or MCA.
• Google Professional Data Engineer or Microsoft Azure Data Engineer Associate
• Experience with Microsoft Fabric will be preferred.
• Experience with Snowflake or Databricks as a centralized data platform.