Senior DevOps Engineer | $30-$130/hr Remote
Overview
This Senior DevOps Engineer role focuses on applying DevOps expertise to help train next-generation AI systems. You will design and maintain scalable infrastructure using Kubernetes on AWS and GCP, develop CI/CD pipelines, automate deployments with Python, and collaborate with cross-functional teams to ensure robust cloud-native architectures.
What You'll Do6
- 1Design, implement, and maintain scalable infrastructure solutions using Kubernetes across AWS and GCP environments
- 2Develop, manage, and optimize CI/CD pipelines to ensure seamless integration and continuous delivery
- 3Automate infrastructure management, monitoring, and deployments with Python and DevOps best practices
- 4Monitor system performance, troubleshoot issues, and implement proactive solutions for optimization and security
- 5Document processes, architectures, and solutions clearly for technical and non-technical audiences
- 6Champion a culture of transparent communication and knowledge sharing within the customer's team
Requirements7
- 1Expertise in Kubernetes orchestration and management of containerized applications
- 2Hands-on experience with both AWS and GCP cloud platforms
- 3Proven ability to develop automation scripts and tools using Python
- 4Deep understanding of infrastructure-as-code, CI/CD pipelines, and DevOps principles
- 5Excellent written and verbal communication skills and a collaborative mindset
- 6Experience with monitoring, logging, and proactive system management
- 7Strong problem-solving abilities in complex, distributed cloud environments
Who Should Apply
An experienced DevOps engineer with deep expertise in Kubernetes, AWS, GCP, and Python automation. The ideal candidate thrives in collaborative environments, is passionate about infrastructure reliability, and wants to apply their skills to help train AI systems. Certifications in cloud or Kubernetes are a plus.
Salary Insight
The role offers $30-$130 per hour on a remote contractor basis, with pay likely depending on experience and location.
Required Skills
Application Tip
Highlight specific projects where you managed Kubernetes clusters across both AWS and GCP, and showcase your Python automation scripts. If you have any Kubernetes or cloud certifications, mention them prominently.