We are looking for a Cloud Infrastructure & Data Platform Engineer with robust experience in building, managing, and supporting enterprise-scale cloud and data platforms.

Key Skills
AWS / GCP
Terraform / Infrastructure as Code
Python
Databricks
Data Lake / Data Platforms
Kubernetes
CI/CD
SRE / Site Reliability Engineering
Production Support
Enterprise-scale cloud and data platform operations

Secondary Skills
.NET
Node.js
React.js

Key Responsibilities
Design, deploy, and manage scalable AWS/GCP cloud infrastructure.
Build and maintain infrastructure using Terraform / IaC.
Manage Databricks, Data Lake, and enterprise data platforms.
Implement and maintain CI/CD pipelines for application and data workloads.
Manage Kubernetes-based environments and containerized workloads.
Develop automation and operational tooling using Python.
Drive SRE practices, including monitoring,



reliability, availability, incident management, and performance optimization.
Provide production support for critical cloud and data platforms.
Troubleshoot infrastructure, application, and data-platform issues in enterprise production environments.
Collaborate with engineering, data, application, and security teams to ensure platform reliability and scalability.

Valuable to Have

Experience with .NET, Node.js, or React.js will be an added advantage.

Ideal Profile

A robust hands-on engineer who has experience running enterprise-scale cloud and data platforms in production, with a good balance of cloud infrastructure, DevOps, data engineering, automation, and SRE capabilities.

📌 Cloud Platform Engineer Ahmedabad (India)
🏢 Crescendo Global Leadership Hiring India
📍 India