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DevOps Engineer (AWS/GCP/Azure) - Remote

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Summary

Remote DevOps Engineer who designs, automates, and manages scalable cloud infrastructure on AWS, Azure, or GCP. Day to day: building CI/CD pipelines, writing Infrastructure as Code (Terraform), running Docker/Kubernetes environments, and keeping production systems secure, monitored, and highly available.

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

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)
• Strong Linux systems administration background
• 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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