Cloud Platform Engineer

Crescendo Global Leadership Hiring India; Ahmedabad District; Hybrid; INR 1,800,000 - 3,200,000; Full time

Job summary

Crescendo Global Leadership Hiring India is seeking a Cloud Infrastructure & Data Platform Engineer to design, deploy and support enterprise-scale cloud and data platforms. The role requires hands-on work across AWS and GCP, Terraform, Python, Databricks, Data Lake technologies, Kubernetes, CI/CD, and SRE practices.

You will design scalable infrastructure, build automated pipelines, and manage Databricks, data lakes and enterprise data platforms in production.

Qualifications

• Experience building and managing enterprise-scale cloud and data platforms.
• Proficient with AWS/GCP and IaC (Terraform).
• Strong Python and data engineering skills; production support experience.

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 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 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.

Skills

AWS / GCP

Terraform / IaC

Python

Databricks

Data Lake / Data Platforms

Kubernetes

CI/CD

SRE / Site Reliability Engineering

Production Support

.NET

Node.js

React.js

Job description

We are looking for a Cloud Infrastructure & Data Platform Engineer with strong 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.

Good to Have

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

Ideal Profile

A strong 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.