Cloud Devops Engineer

Role & responsibilities

Years of Experience required- 3 to 6 and 6 to 9

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Summary / Objective

We are seeking a hands-on Cloud DevOps Engineer with strong expertise in AWS cloud infrastructure, Infrastructure as Code (IaC), and container orchestration (Kubernetes).

The ideal candidate will be responsible for designing, deploying, and automating cloud environments for high-availability application hosting and continuous delivery.

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Key Responsibilities

• Design, implement, and manage AWS-based infrastructure for scalable and secure applications.
• Develop IaC templates using Terraform and/or AWS CloudFormation to ensure consistent, repeatable deployments.
• Deploy and manage Kubernetes clusters (EKS preferred) for containerized applications including networking, scaling, and security.
• Implement CI/CD pipelines using tools like GitHub Actions, Jenkins, or AWS CodePipeline for automated application delivery.
• Apply monitoring, logging, and alerting solutions using CloudWatch, Prometheus, Grafana, and ELK stack.
• Ensure infrastructure security compliance through IAM policies, role-based access control, and automation.
• Develop automation scripts in Python / Bash / PowerShell to streamline operational tasks.
• Collaborate with development teams to optimize deployment workflows and troubleshoot performance issues.

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Required Skills

Category Skills

Cloud Platforms AWS (EC2, S3, IAM, VPC, RDS, EKS, CloudFront, Route 53, Lambda)

IaC Tools Terraform

Containers & Orchestration Docker, Kubernetes (EKS preferred)

Automation / Scripting Python, Bash, Shell, AWS CLI

CI/CD & DevOps Jenkins, GitHub Actions, ArgoCD

Monitoring & Logging CloudWatch, Prometheus, Grafana, ELK Stack

Networking VPC design, Subnets, Security Groups, Load Balancers, Route 53

Version Control Git, GitHub / GitLab

OS / Environment Linux-based systems, Infrastructure automation

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Desired / Nice-to-Have Skills

• Experience with Helm charts or Kustomize for Kubernetes deployments.
• Basic understanding of cost optimization and FinOps practices on AWS.
• Basic understanding of static code analysis tools like Astree, Coverity and SonarQube
• Exposure to serverless architectures or microservices deployments.
• Intermediate understanding of Kubernetes networking and storage concepts.