Cloud Engineering Manager

2 weeks ago


Gurgaon, Haryana, India beBeeDevOps Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Overview

We are seeking a seasoned Cloud DevOps Engineer to join our team. This role involves designing and implementing automation tools and frameworks for continuous integration, delivery, and deployment.


Key Responsibilities:
  • Create DevOps pipelines to deliver Infrastructure as Code.
  • Build workflows to create immutable Infrastructure in AWS.
  • Develop automation for provisioning compute instances and storage.
  • Build AMI images using Packer.
  • Develop Ansible playbooks and automate execution of routine Linux scripts.
  • Provision resources in AWS using Cloud Formation Templates.
  • Deploy immutable infrastructure in AWS using Terraform.
  • Orchestrate container deployment.
  • Configure Security Groups, Roles & IAM Policy in AWS.
  • Monitor infrastructure and develop utilization reports.
  • Implementing and maintaining version control systems, configuration management tools, and other DevOps-related technologies.

Requirements

To be considered for this role, you should have:

  • Bachelor's degree in Computer Science, Information Systems or Engineering or equivalent qualification is preferred or relevant equivalent work experience.
  • RedHat Linux & AWS Certifications preferred.
  • Strong experience in Infrastructure Engineering and automation.
  • Very good experience in AWS Cloud systems administration.
  • Experience in developing Ansible scripts and Jenkins integration.
  • Expertise using DevOps tools (Jenkins, Terraform, Packer, Ansible, GitHub, Artifactory).
  • Proficiency in Jenkins and Groovy for creating dynamic and responsive CI/CD pipelines.
  • Good experience in RedHat Linux scripting.
  • Excellent verbal and written communication skills.

Preferred Qualifications

Candidates with the following qualifications will be given preference:

  • Administer Redhat Linux Operating Systems.
  • Deploy OS patches & perform upgrades.
  • Configure filesystems & allocate storage.
  • Develop Unix scripts.
  • Develop scripts for automation of infrastructure provisioning.
  • Monitor infrastructure and develop utilization reports.
  • Evaluate new AWS services and solutions.


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