Assistant Manager - Cloud Engineering

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 new 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 monitoring tools.

• Develop automation scripts and serverless functions in

Cloud Function / Azure Function

using

Python

.

• Collaborate with teams to deliver secure, scalable, and cost-optimized cloud solutions.
• Explore and support use cases for

Generative AI (GenAI), AI/ML services, and Vertex AI / Azure OpenAI.

Mandatory Skills

4–8 years

of experience in cloud consulting, cloud engineering, or DevOps engineering.

• Strong expertise in

MS Azure

or

Google Cloud Platform (GCP).

• Hands-on experience in infrastructure services (

VMs, networking, load balancers, firewalls, storage, IAM

).

• Experience with data services (

databases, warehouses, data pipelines, ETL tools

).

Terraform

proficiency for IaC.

Python scripting

for automation and data workflows.

• Strong knowledge of CI/CD, DevOps pipelines,

GitHub Actions, GitLab CI

or

Azure DevOps

• Preferred Skills: - Exposure to

Generative AI (GenAI), Machine Learning pipelines, Vertex AI, or Azure OpenAI

.

• Certification in

GenAI

technology is a plus.

• Familiarity with security best practices, cloud cost optimization, and monitoring/observability tools (

Prometheus, Grafana, Google Cloud Monitoring, Azure Monitor

).

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.

• Exposure to Generative AI (GenAI), Machine Learning pipelines, Vertex AI, or Azure OpenAI.
• Certification in GenAI technology is a plus.
• Familiarity with security best practices, cloud cost optimization, and monitoring/observability tools (Prometheus, Grafana, Google Cloud Monitoring, Azure Monitor).