Aws Devops Engineer

Key Responsibilities

AWS Infrastructure Management

• Design, deploy, and maintain secure, scalable, and cost-optimized AWS environments.
  
• Implement high availability, disaster recovery, and failover strategies.
  
• Continuously monitor and optimize cloud resources for performance and cost-efficiency.
  

DevOps & CI/CD

• Build and maintain robust CI/CD pipelines using tools like

  GitHub Actions

  and

  Azure DevOps

  .
• Automate build, test, and deployment processes for faster and safer software delivery.
  

Infrastructure as Code (IaC)

• Develop and manage infrastructure using

  Terraform

  .
• Ensure infrastructure is version-controlled, auditable, and compliant with company standards.
  

Containerization & Orchestration

• Deploy and manage containerized applications using

  Amazon EKS (Elastic Kubernetes Service)

  .
• Optimize workloads within Kubernetes clusters for scalability, resilience, and performance.
  

Monitoring & Observability

• Implement observability solutions using tools like

  Datadog

  ,

  Prometheus

  , or

  Grafana

  .
• Set up proactive alerting, monitoring dashboards, and logging mechanisms.
  

Automation & Scripting

• Automate repetitive tasks using

  Python

  ,

  Bash

  , or similar scripting languages.
• Build internal tools to support cloud operations and reduce manual intervention.
  

Collaboration & Support

• Collaborate with cross-functional teams including engineering, QA, and security.
  
• Mentor junior DevOps engineers and contribute to team knowledge sharing.
  

Required Qualifications

• Minimum

  7+ years

  of experience in

  AWS cloud infrastructure management

  .
• Strong command over core AWS services:

  EC2, RDS, S3, IAM, Lambda, VPC

  , etc.
• Hands-on experience with

  CI/CD

  tools such as GitHub Actions, Azure DevOps, Jenkins.
• Proven expertise in

  Terraform

  and Infrastructure as Code practices.
• Deep knowledge of

  Kubernetes

  , preferably with

  EKS

  in production.
• Proficiency in

  Python

  ,

  Bash

  , or other scripting languages.
• Experience with monitoring and observability tools like

  Datadog

  ,

  Prometheus

  ,

  Grafana

  .
• Excellent troubleshooting, debugging, and analytical skills.