DevOps Engineer (AWS/GCP/Azure) - Remote
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)