Cloud DevOps Engineer

JobgetherCloud Infrastructure

Flexibility to work from anywhere in Latin AmericaFull-TimeSenior

SalaryCompensation in USD, based on experience and candidate potential.

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Job Details

Languages: Professional English proficiency at approximately B2/C1 level or above.
Experience: More than 5 years
Required Skills: AWSDockerPythonBashKubernetesGoCI/CDLinuxTerraform

More than 5 years of professional experience in SRE, DevOps, Systems Administration, or related roles.
5+ years of hands-on Linux systems administration experience (RHEL, Ubuntu, or Debian).
3+ years of experience with Kubernetes and Linux container technologies.
At least 1 year of experience with Helm, Kustomize, or equivalent Kubernetes configuration tools.
At least 1 year of experience with Istio or equivalent service-mesh technology.
2+ years of experience with Terraform and cloud-based infrastructure provisioning.
Strong Bash scripting skills (5+ years practical experience).
2+ years of experience with managed Kubernetes services (AWS EKS, Google GKE, or Azure AKS).
2+ years of experience creating and maintaining CI/CD solutions (GitLab Pipelines, GitHub Actions).
3+ years of experience with Git or equivalent version-control systems.
2+ years of experience working with AWS, GCP, Azure, or comparable cloud platforms.
2+ years of programming or automation experience (Python, Go).
2+ years of experience with databases or managed data services (MongoDB, PostgreSQL, AWS RDS, AWS DynamoDB).
Professional English proficiency (B2/C1 level or above).

Provision and manage infrastructure components that support critical business services across cloud environments.
Develop, configure, deploy, and maintain tools used by SRE and DevOps teams.
Design and maintain Infrastructure as Code solutions and automated infrastructure provisioning processes.
Create, maintain, and improve CI/CD pipelines supporting reliable software delivery.
Build and maintain Docker images, automation scripts, and deployment tooling.
Deploy applications across production and non-production environments and support teams throughout the software development lifecycle.
Monitor service availability, reliability, performance, and capacity, identifying opportunities for optimization.
Handle support escalations, incident reviews, service recovery, and emergency response activities.
Manage infrastructure changes, validating new features and updates while maintaining service availability and reliability.
Apply security-hardening practices across Linux systems, Kubernetes, containers, and service-mesh environments.

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