Yale University

Yale University

DevOps Engineer

Austin, Texas, USA · Senior · full-time

Sponsorship not specifiedDetected 86 days ago
PythonGitSnowflakeAzureCloud PlatformsKubernetesTerraformCI/CDDevOpsMachine LearningData EngineeringPerformance ManagementCollaborationProblem SolvingWarehouse Management System

Stay score

odds of building a lasting career here

88Lottery-free
Cap-exempt (no lottery)100
Sponsors year-round100
Entry-level history60
PERM / green-card track50
Fits your clock70

Files H-1B any time — no cap, no lottery. The 2026 weighted-selection rule doesn't touch it, which makes this the strongest structural path for entry-level talent. Pay is often lower, but your odds of staying are dramatically higher.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

States it is exempt from the H-1B cap

In 3 Department of Labor filings, this employer states it is an institution of higher education — one of the statutory grounds for exemption from the H-1B cap. Cap-exempt employers can file year-round without entering the lottery.Employer's own attestation on a Department of Labor wage determination, not a USCIS determination — exemption is decided per petition.

Green-card intent detected

Yale University obtained a prevailing wage determination for Political Science Teachers, Postsecondary in New Haven, CONNECTICUT on 2026-06-23. No matching green-card filing appears in our data yet. The determination expires in 13 days (2026-09-20), and a green-card filing must follow before then or the employer starts over.

Files H-1B transfers

35 transfer filings in the last year, covering 35 workers. Median labor-condition decision: 8 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

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.

Skills

  • DevOps Engineer Location:
  • TX (Hybrid - 3 days remote and 2 days onsite) Duration:

Benefits

  • Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives.
Apply directly at Yale University →Create a free account for alerts like thisView Yale University immigration profile

This listing is sourced directly from Yale University's careers page and normalized into a canonical job model.