DevOps Engineer AWS

24 hours ago

Karachi, Sindh, Pakistan beBee Careers Full time

We are looking for a highly skilled and experienced DevOps Engineer (AWS) to join our development team. The ideal candidate will have strong analytical skills with the ability to work independently on projects, in addition to technical aptitude for the position.

Job Description/Role:

The successful candidate will be responsible for implementing and maintaining the infrastructure and tools to allow for the speedy development and release of software. This includes working in a highly collaborative operations team to streamline the process of implementing a security AWS cloud environment and introducing best practices for remediation.

  • Analyzing subscriptions for various business cases to apply organization-specific security guidelines
  • Gathering requirements from clients about existing applications to apply security measures
  • Understanding the latest features introduced by AWS and utilizing them for existing business applications

The candidate will also be responsible for working on GIT to maintain source code in Git and GitHub repositories, as well as proficiently using AWS services such as Compute and Network, Storage and CDN, Database, Analytics, Application Services, Deployment, and Management.

Mandatory Knowledge, Experience & Skills:
  • Experience with multi-tier architectures: load balancers, caching, web servers, application servers, databases, and networking
  • Familiarity interacting with AWS APIs
  • AWS Disaster Recovery design and deployment across regions a plus
  • Use tools like Visual Studio Community Edition, Visual Studio Code, Power Shell ISE, and SQL Server Management Studio
  • Work with Agile methodology in XL Deploy and XL Release, CI/CD automation from scratch, Docker, OpenSearch is a Must
  • Experience in automation and testing via scripting & programming (TFS, PowerShell, Jenkins, Python, Ruby, Java)
  • Implementing Continuous Integration and deployment is a Must
  • Conduct Dry-Run Tests to ensure fool-proof execution of customized scripts before execution in production environments

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