Description
Cloud Engineering – 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 Engineer, you will support KPMG with the delivery of immediate value and impact, to customers looking to embed current and emerging technologies in their landscape. We are seeking an experienced Cloud professional (4–8 years) with strong expertise in either in Microsoft Azure or in Google Cloud Platform (GCP).
The consultant will work on 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, implement, and manage cloud infrastructure (Azure / GCP) including compute, networking, storage, and IAM/security.
- Design, implement and manage serverless application deployment using Cloud Run / Azure Container Service, Load Balancer, DNS, Cloud Function / Azure Function.
- Deploy and manage data services such as BigQuery, Cloud SQL, Cloud Spanner, Synapse, Data Factory, Dataflow, Dataproc, Pub/Sub, and Data Lake solutions.
- Build and maintain Infrastructure as Code (IaC) using Terraform for provisioning and automation.
- Implement and optimize DevOps practices including CI/CD pipelines, GitOps, containerization (Docker, Kubernetes, GKE/AKS), and m
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