Senior DevOps Engineer for AI Model Training

As a Senior DevOps Engineer, you will play a pivotal role in shaping the future of AI systems by designing and maintaining scalable infrastructure solutions. Your expertise will directly influence how models learn and perform, utilizing real-world input to enhance AI capabilities. This position is fully remote and offers a flexible contract arrangement.

• 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.
• Champion a culture of transparent communication and knowledge sharing within the customer''s team.

• Expertise in Kubernetes orchestration and management of containerized applications.
• Hands-on experience with both AWS and GCP cloud platforms.
• Proven ability to develop automation scripts and tools using Python.
• Deep understanding of infrastructure-as-code, CI/CD pipelines, and DevOps principles.
• Excellent written and verbal communication skills and a collaborative mindset.
• Experience with monitoring, logging, and proactive system management.
• Strong problem-solving abilities in complex, distributed cloud environments.

• Certifications related to Kubernetes, AWS, or GCP.
• Prior work in AI/ML infrastructure or data-intensive environments.
• Familiarity with additional programming languages or automation frameworks.

Contract position with flexible hours, fully remote.

Hourly pay ranges from $30 to $130.

No prior experience in AI is required; your domain knowledge is what matters.