Live opening · Posted 9 days ago

Cloud Computing Engineer (AWS + DevOps)

Info Origin Inc. · Gondia, Maharashtra, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 9 days ago
CompanyInfo Origin Inc.
LocationGondia, Maharashtra, India (On-site)
Work modeNo
SourceLinkedin
Listed9 days ago

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About the role

Description supplied by the original job listing.

NEW OPPORTUNITY || IMMEDIATE TO 30 DAYS JOINERS REQUIRED ||
Position Title:- Cloud Computing Engineer (AWS DevOps)
Experience Required:- 3+ Years
Location:- Gondia, MH (Onsite)
Position Type:- Full-Time
Roles & Responsibilities
Design, deploy, and manage scalable cloud infrastructure on Amazon Web Services (primary), with exposure to Microsoft Azure as a plus.
Work with core AWS services including:
Amazon EC2, Amazon EKS, Amazon S3, Amazon RDS
Networking via Amazon VPC, Elastic Load Balancing, Amazon Route 53
Security using AWS Identity and Access Management and AWS Secrets Manager
Manage and operate Kubernetes environments (EKS) with hands-on experience in Pods, Deployments, Services, Secrets, Ingress, and Persistent Volume Claims (PVC).
Deploy and manage open source and containerized applications using Helm, EC2, Docker and Kubernetes.
Build and maintain CI/CD pipelines using:
Jenkins, ArgoCD, Bitbucket
AWS native services such as AWS CodePipeline and AWS CodeBuild
Implement Infrastructure as Code (IaC) using Terraform or CloudFormation.
Implement monitoring, logging, and alerting using:
Prometheus, Grafana & Amazon CloudWatch
Troubleshoot production issues, perform root cause analysis, and ensure high availability and performance.
Optimize infrastructure for cost, scalability, and operational efficiency.
Required Skills
3+ years of hands-on experience with Amazon Web Services.
Strong understanding of cloud fundamentals: compute, storage, networking, IAM, and security best practices.
Hands-on experience with Kubernetes (Pods, Deployments, Services, Ingress, Secrets, PVC).
Experience with CI/CD tools (Jenkins / ArgoCD / Bitbucket / AWS CodePipeline) and Linux.
Experience with containerization using Docker and Kubernetes.
Experience with Infrastructure as Code using Terraform.
Monitoring and observability experience using Amazon CloudWatch, Prometheus and Grafana.
Scripting experience using Python/Bash for automation.

Work arrangement
No

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