Data Science DevOps Engineer; Kubernetes, Linux & Windows
Listed on 2026-10-13
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IT/Tech
Cloud Computing: Infrastructure & Operations, Systems Engineer
Yale New Haven Health is seeking an ITS Lead Data Science Dev/Ops Engineer to manage data science platforms and distributed IT environments. The role blends system administration with Dev Ops, collaborating with analytics teams to deploy scalable, highly available data workflows using Kubernetes on Linux and Windows.
Responsibilities include infrastructure as code with Python, Ansible, Helm, and Git Lab; monitoring with Prometheus; and disaster recovery planning across data centers.
This position is for the Data Science Dev Ops Engineer (Kubernetes, Linux & Windows) role at Yale New Haven Health.
We have an opening for a Data Science Dev Ops Engineer (Kubernetes, Linux & Windows) in Stratford, CT, United States within IT & Technology.
This role, Data Science Dev Ops Engineer (Kubernetes, Linux & Windows) at Yale New Haven Health, could be your next opportunity.
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