AI DevOps Engineer
Tlalnepantla, Ciudad de México, MX, 54070
MXN 934K-1300K (estimate) Senior-level Full Time
Tasks
- Automate infrastructure provisioning with Infrastructure-as-Code
- Build and maintain CI/CD pipelines
- Design and operate GenAI production infrastructure
- Ensure secure networking secrets and access controls
- Implement observability and monitoring for AI systems
- Manage containerized workloads
- Operationalize integrations with enterprise systems
- Optimize scalability performance and cost for AI workloads
- Provide documentation templates and best practices
- Troubleshoot and operate distributed systems
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Access Control | Bash | CI/CD | Cost monitoring | DevOps | Docker | GCP | GitHub Actions | Infrastructure as Code | Kubernetes | Langfuse | Logging | Monitoring | Networking | Observability | Prompt management | Python | SAP | Salesforce | Secrets management | SharePoint | Snowflake | Snowflake Cortex | Snowflake containers | Terraform | Vector Databases | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
DevOps | DevOps Engineer | Engineer | Platform | Platform Engineer
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