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Position Title: Cloud computing Engineer (AWS, DevOps)

Experience: 5+ Years

Location: Gondia, Maharashtra

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

4 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.

Good to Have

Experience with code quality and security tools like SonarQube and Snyk.

Experience with caching technologies such as Redis / Amazon ElastiCache.

Experience with Helm for Kubernetes deployments.

Exposure to multi-cloud environments (Azure preferred).

Preferred Skills

Experience with advanced observability platforms like Datadog

Exposure to aws services like Amazon SQS, EventBridge

Exposure to LLMOps tools and platforms (e.g., Arize Phoenix, Langfuse or similar)

Experience working in high-availability, production-grade environments

Understanding of DevSecOps practices and secure CI/CD pipelines

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Cloud Computing Engineer (AWS DevOps)