Yale University
DevOps Engineer
Austin, Texas, USA · full-time
Sponsorship not specifiedDetected 40 days ago
PythonGitSnowflakeAzureCloud PlatformsKubernetesTerraformCI/CDDevOpsMachine LearningData EngineeringPerformance ManagementCollaborationProblem SolvingWarehouse Management System
About the role
- Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system.
- Experience in CI/CD, automation using Python, and cloud infrastructure, ensuring efficient deployment, monitoring, and performance optimization.
- 1+ year of experience creating technical documentation, operational runbooks, architectural diagrams, and communicating effectively with technical and business stakeholders.
Responsibilities
- Expertise in AI integration, Azure cloud platform, and Snowflake administration, responsible for building scalable and secure data and AI pipelines.
- Provides end-to-end DevOps support, including security, governance (RBAC), and collaboration with cross-functional teams to deliver reliable cloud and data solutions.
Requirements
- 8+ years of experience implementing DevOps practices and utilizing tools such as Azure DevOps, Git, CI/CD pipelines, and automated deployment frameworks.
- 8+ years of experience designing, deploying, and managing solutions on the Microsoft Azure cloud platform.
- 8+ years of experience administering Snowflake environments, including access control, RBAC implementation, least-privilege security models, warehouse management, performance tuning, and platform optimization.
- 8+ years of experience developing Python scripts and automation solutions for data engineering, cloud operations, and platform administration.
- 8+ years of experience working with containerization and orchestration technologies, including Azure Kubernetes Service (AKS) and Kubernetes-based deployments.
- 8+ years of experience designing, developing, and supporting data pipelines, ETL/ELT processes, and cloud-based data integration solutions.
- 8+ years of experience applying AI/ML concepts and integrating AI-enabled capabilities into cloud and data platforms.
- 8+ years of experience implementing and managing Azure Monitor, Log Analytics, centralized logging, alerting, dashboarding, security monitoring, audit logging, and operational metrics.
- 8+ years of experience utilizing monitoring, logging, observability, and performance management tools to ensure platform reliability and operational excellence.
- 3+ years of experience implementing Infrastructure as Code (IaC) using tools such as Terraform, ARM Templates, Bicep, or similar automation frameworks.
Benefits
- Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives.
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This listing is sourced directly from Yale University's careers page and normalized into a canonical job model.