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Salary
≈ $11k – $31k per year (Estimated)
Location
Hybrid (India)
Seniority
Middle · 2+ years exp

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Sep 18, 2026.

Overview
Company
Impact
Profile match
Helps enterprise companies build and upgrade in-house analytics centers. Works with Fortune 500 organizations spanning Retail, Banking, Insurance, Healthcare, e-Commerce, Technology and Hospitality domains.

Here's a JD for a Cloud Engineer role targeting candidates transitioning from a data engineering background:

Job Title: Cloud Engineer

Experience: 2-5 Years

Location: [City / Hybrid / Remote - specify]

Function: Cloud Infrastructure / Data Engineering

About the Role

We are looking for a Cloud Engineer with a strong data engineering foundation to help design, build, and maintain scalable cloud infrastructure for our data platforms. This role is ideal for someone who has worked hands-on with data pipelines and wants to deepen their expertise in cloud architecture, infrastructure automation, and platform reliability.

Key Responsibilities

  • Design, deploy, and maintain cloud infrastructure supporting data pipelines and analytics workloads
  • Collaborate with data engineering teams to optimize data storage, compute, and networking on the cloud
  • Build and manage CI/CD pipelines for infrastructure and data workflows
  • Implement infrastructure-as-code (IaC) using tools like Terraform or CloudFormation
  • Monitor cloud environments for performance, cost optimization, and security compliance
  • Support migration of on-prem or legacy data systems to cloud-native architectures
  • Troubleshoot infrastructure and pipeline issues across cloud environments
  • Work closely with data engineers, DevOps, and architects to ensure reliable, scalable systems

Required Skills & Experience

  • 2-5 years of overall experience, with a background in data engineering (building pipelines, working with data platforms/tools like Spark, Databricks, Airflow, etc.)
  • Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP)
  • Basic understanding of CI/CD tools (Jenkins, GitHub Actions, Azure DevOps)
  • Scripting skills in Python or Bash for automation
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