Posted:15 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About the Role:

We are looking for a passionate and skilled DevOps Engineer (Full-Time) to join our Product Engineering team at Aaytham Consulting. This role provides an exciting opportunity to work with cloud infrastructure, CI/CD pipelines, and modern DevOps tools to support deployment, automation, and monitoring. You will play a key role in ensuring scalability, reliability, and performance of applications while collaborating with our engineering teams.


Key Responsibilities


  • Configure and manage cloud infrastructure using AWS services (

    EC2, S3

    , and storage management).
  • Design, implement, and maintain

    CI/CD pipelines

    for automated deployments and testing.
  • Deploy and manage

    Kubernetes

    workloads, including pods in Amazon EKS.
  • Utilize

    Terraform

    to define, provision, and manage infrastructure as code (IaC).
  • Implement auto-scaling, monitoring, and alerting solutions to ensure high availability and performance of applications.
  • Write and maintain

    Helm charts

    for Kubernetes deployments.
  • Collaborate with development teams using

    Git

    for version control and code management.
  • Maintain and enhance

    Linux-based infrastructure

    , ensuring stability and performance.
  • Create and manage AWS projects, ensuring proper setup and configuration.
  • Manage AWS billing and payments, including cost monitoring, optimization, and reporting.


Required Skills


  • Strong working experience with

    Linux

    operating systems and command-line tools.
  • Proficiency with

    Git

    for version control and collaboration.
  • Hands-on experience with

    Docker

    for containerization.
  • Practical knowledge of

    Terraform

    for infrastructure automation.
  • Solid understanding of

    AWS services

    (EC2, S3, EKS, IAM

    , and storage management).
  • Experience with

    CI/CD pipelines

    and deployment automation tools (e.g., Jenkins, GitHub Actions, AWS CodePipeline).
  • Knowledge of

    auto-scaling

    strategies and cloud cost optimization.
  • Experience with

    Kubernetes

    (EKS preferred) for container orchestration.
  • Familiarity with

    Helm

    for managing Kubernetes applications.
  • Scripting knowledge

    (Bash/Python) for automation and troubleshooting (preferred).


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