Consultant - Cloud AI Developer at KPMG India

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

0.0

Posted On

14 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, React.js, Microsoft Azure, Google Cloud Platform, FastAPI, Django, Flask, RESTful APIs, Microservices Architecture, CI/CD, Git, Generative AI, Application Modernization, Cloud Infrastructure, DevOps, Web Security

Industry

Business Consulting and Services

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.

Responsibilities

Develop scalable software systems and cloud infrastructure using modern AI and GenAI solutions. Support clients in embedding emerging technologies into their landscapes to drive cloud transformation and value creation.