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Location
In office (Pune)
Seniority
Junior · 2+ years exp

First seen by Alion on Nov 5, 2026. KPMG scores B on the Alion truth index.

Overview
Company
Impact
Profile match
KPMG is a global professional services network headquartered in Amstelveen, Netherlands, and formed in 1987 through the merger of Peat Marwick International and Klynveld Main Goerdeler. The network provides audit and assurance, tax, and advisory services including deal advisory, risk consulting, and technology implementation. It is one of the Big Four accounting organisations, operating as a cooperative of legally separate member firms in more than 140 countries.
Backed by Dozen

Job Description:


Cloud Engineering – Consulting


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 with strong expertise in either Python / ReactJS along with exposure to Microsoft Azure or 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 the cloud sector globally.


Mandatory Skills:

  • 2–5 years of professional experience in software development.
  • Strong exposure to application modernization and application rationalization.
  • Exposure to 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 enterprise-wide environments, 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.


Responsibilities:

  • 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.

Skills

AWS, Azure, GCP, Google Cloud Platform, Python, React, React.js

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