Cloud DevOps Engineer | Remote
Posted
Summary
Contract Senior DevOps Engineer working remotely (10-40 hrs/week) to design and maintain scalable Kubernetes infrastructure across AWS and GCP, build and optimize CI/CD pipelines, and automate infrastructure, monitoring, and deployments using Python.
- Design, implement, and maintain scalable infrastructure solutions using Kubernetes across AWS and GCP environments.
- Develop, manage, and optimize CI/CD pipelines to ensure seamless integration and continuous delivery for diverse applications.
- Automate infrastructure management, monitoring, and deployments with Python and DevOps best practices.
- Collaborate closely with cross-functional teams to support robust cloud-native architectures and application reliability.
- Monitor system performance, troubleshoot issues, and implement proactive solutions for optimization and security.
- Document processes, architectures, and solutions clearly for technical and non-technical audiences.
Position:
Senior DevOps Engineer
Type:
Contract
Compensation:
$30 - $130/hour
Location:
Remote
Commitment:
10-40 hrs/week
Role Responsibilities
- Design, implement, and maintain scalable infrastructure solutions using Kubernetes across AWS and GCP environments.
- Develop, manage, and optimize CI/CD pipelines to ensure seamless integration and continuous delivery for diverse applications.
- Automate infrastructure management, monitoring, and deployments with Python and DevOps best practices.
- Collaborate closely with cross-functional teams to support robust cloud-native architectures and application reliability.
- Monitor system performance, troubleshoot issues, and implement proactive solutions for optimization and security.
- Document processes, architectures, and solutions clearly for technical and non-technical audiences.
Requirements
- Have strong relevant experience in Kubernetes orchestration and management of containerized applications.
- Have hands-on experience with both AWS and GCP cloud platforms.
- Have proven ability to develop automation scripts and tools using Python.
- Have a deep understanding of infrastructure-as-code, CI/CD pipelines, and DevOps principles.
- Have strong problem-solving abilities in complex, distributed cloud environments.