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DevOps Engineer (AWS/GCP/Azure) - Remote

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Summary

Remote DevOps engineer designing and operating scalable cloud infrastructure on AWS, Azure, or GCP: building CI/CD pipelines, implementing infrastructure as code with Terraform, managing Docker/Kubernetes workloads, monitoring and optimizing production systems, and applying security and disaster-recovery best practices.

  • Required Skills
    • amazon web services
    • windows azure platform
    • +23
  • Remote Job

Job Description

This is a remote position.

We are seeking a highly skilled DevOps Engineer to design, automate, and manage scalable cloud infrastructure across AWS, Azure, or GCP environments. This role focuses on building reliable CI/CD pipelines, implementing Infrastructure as Code, and ensuring secure, high-availability production systems.

You will collaborate with engineering teams to streamline deployments, improve system resilience, and optimize performance and cost efficiency. The ideal candidate thrives in cloud-native environments and has strong hands-on experience operating mission-critical systems.

Key Responsibilities

  • Design and manage infrastructure in AWS, Azure, or GCP
  • Build and maintain CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.)
  • Implement Infrastructure as Code using Terraform or similar tools
  • Manage containerized environments using Docker and Kubernetes
  • Monitor, troubleshoot, and optimize production systems
  • Implement security best practices and DevSecOps controls
  • Improve deployment speed while maintaining system stability
  • Support high-availability and disaster recovery initiatives

Requirements

  • 5+ years of experience in DevOps, Cloud Engineering, or Site Reliability
  • Strong hands-on experience with AWS, Azure, or GCP
  • Experience designing and maintaining CI/CD pipelines
  • Experience with Docker and Kubernetes (EKS, AKS, or GKE)
  • Infrastructure as Code experience (Terraform preferred)
  • Scripting ability (Bash, Python, or PowerShell)
  • Experience with monitoring and observability tools (CloudWatch, Azure Monitor, Prometheus, Grafana, Datadog)

Preferred Qualifications

  • Experience in high-availability production environments
  • Experience with microservices architecture
  • Experience implementing IAM and cloud security best practices
  • Cloud certifications (AWS, Azure, or GCP)

Skills

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See also

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