DevOps Engineer (AWS/Azure/GCP) - Remote
Summary
Fully remote DevOps Engineer who designs, automates, and maintains scalable cloud infrastructure and CI/CD pipelines on AWS, Azure, or GCP for enterprise/SaaS environments. Day-to-day work centers on Terraform IaC, Docker/Kubernetes, monitoring, and secure, reliable production deployments.
This is a remote position.
We are seeking a skilled DevOps Engineer to design, implement, and maintain scalable cloud infrastructure and deployment pipelines across AWS, Azure, or GCP environments. This role focuses on automation, reliability, performance optimization, and secure cloud operations.
You will work closely with engineering teams to streamline CI/CD processes, improve system resilience, and support cloud-native application deployments. The ideal candidate is hands-on, comfortable operating production systems, and experienced in building automation-first infrastructure.
This is a fully remote opportunity within fast-moving enterprise or SaaS environments.
Key Responsibilities:
- Design, deploy, and manage cloud infrastructure in AWS, Azure, or GCP
- Build and maintain CI/CD pipelines to support application releases
- Manage containerized workloads using Docker and Kubernetes
- Implement infrastructure as code using Terraform or similar tools
- Monitor, troubleshoot, and optimize production systems
- Improve deployment velocity while maintaining system stability
- Implement security best practices and DevSecOps controls
- 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 building CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.)
- Experience with containerization (Docker) and orchestration (Kubernetes)
- Infrastructure as Code experience (Terraform preferred)
- Linux systems administration experience
- Scripting ability (Bash, Python, or PowerShell)
- Experience with monitoring and observability tools (CloudWatch, Azure Monitor, Prometheus, Grafana, Datadog)
Preferred Qualifications:
- Experience with microservices architecture
- Experience in high-availability production environments
- Experience with security automation and IAM controls
- Cloud certifications (AWS, Azure, or GCP)