Full-time
Cloud Engineer for AI Infrastructure
Posted by SageBeans RPO • north vancouver, bc, Canada
About the Role
Become a pivotal part of the Foundations team as a Cloud Engineer specializing in AI infrastructure at a fully remote or hybrid workspace. Focus on AWS and Azure to enhance enterprise governance.
We are looking for a senior-level Cloud Engineer skilled in building and operating AI agent infrastructures. Your expertise in AWS Bedrock and Azure AI will be crucial for developing secured and observable AI systems. Collaborate with different teams to uphold governance and security across the multi-cloud AI landscape, shaping key enterprise strategies.
Key Responsibilities: • Deploy production-grade AI workloads on AWS • Maintain Azure AI Foundry pipelines for robust performance • Develop policy-enforced MCP connector systems • Instrument observability metrics for AI systems • Ensure compliance through effective design reviews
Requirements: • 5+ years of software engineering experience • AWS and Azure platform expertise required • Strong skills in Python and CI/CD ...
We are looking for a senior-level Cloud Engineer skilled in building and operating AI agent infrastructures. Your expertise in AWS Bedrock and Azure AI will be crucial for developing secured and observable AI systems. Collaborate with different teams to uphold governance and security across the multi-cloud AI landscape, shaping key enterprise strategies.
Key Responsibilities: • Deploy production-grade AI workloads on AWS • Maintain Azure AI Foundry pipelines for robust performance • Develop policy-enforced MCP connector systems • Instrument observability metrics for AI systems • Ensure compliance through effective design reviews
Requirements: • 5+ years of software engineering experience • AWS and Azure platform expertise required • Strong skills in Python and CI/CD ...
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