Live opening · Posted 7 days ago

Cloud Engineer

RapidBrains · Chennai, Tamil Nadu, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 7 days ago
CompanyRapidBrains
LocationChennai, Tamil Nadu, India (On-site)
Salary3.1M INR/yr
Work modeNo
SourceLinkedin
Listed7 days ago

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About the role

Description supplied by the original job listing.

Cloud Engineer – AWS & Azure
Experience: 8–12 Years
Location: Chennai
Role: Cloud Engineer / Cloud DevOps Engineer
Employment: Full-time
Joining: Immediate Joiners Preferred
Job Summary
We are looking for an experienced Cloud Engineer with strong expertise in AWS, Azure, DevOps, Infrastructure as Code, and Kubernetes. The ideal candidate will be responsible for designing, implementing, automating, and supporting scalable and secure cloud infrastructure across AWS and Azure environments.
Key Responsibilities
Design, deploy, and manage cloud infrastructure across AWS and Microsoft Azure.
Develop and maintain CI/CD pipelines for application and infrastructure deployments.
Automate infrastructure provisioning using Terraform and related IaC tools.
Manage Kubernetes, Docker, Helm, and ArgoCD environments.
Implement cloud security, monitoring, availability, and performance best practices.
Work with Linux environments and scripting/automation using Python, Bash, or PowerShell.
Collaborate with development, infrastructure, security, and application teams.
Troubleshoot complex cloud, deployment, networking, and infrastructure issues.
Contribute to cloud migration, optimization, and automation initiatives.
Required Skills
8–12 years of overall IT experience.
Strong hands-on experience with AWS and Azure.
Strong knowledge of Terraform / Infrastructure as Code.
Hands-on experience with Kubernetes and Docker.
Experience with ArgoCD and Helm.
Strong understanding of CI/CD and DevOps practices.
Experience with Linux administration.
Good scripting/automation skills in Python, Bash, or PowerShell.
Understanding of cloud networking, security, IAM, monitoring, and troubleshooting.
Good to Have
Experience with Databricks.
Experience with Kafka / messaging platforms.
Exposure to Capital Markets, Investment Banking, or Financial Services environments.
Experience working with highly regulated, high-availability production environments.

Work arrangement
No

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