Browse 13 exciting jobs hiring in On Prem now. Check out companies hiring such as insightsoftware, UChicago, NetBox Labs in Honolulu, Fort Wayne, New Orleans.
Senior technology leader wanted to architect AI-native data platforms, rationalize acquired analytics products, and scale a global engineering organization to capture the agentic AI market.
Technical and people leader needed to drive architecture, operations, and continual improvement of hybrid cloud and on-prem data infrastructure supporting AI, bioinformatics, and large-scale research at the University of Chicago.
Senior technical leader needed to shape long-term architecture for NetBox Labs’ SaaS and on‑prem products, guiding cross-functional teams and building resilient, composable systems.
Lead financial strategy and operational planning for LinkedIn’s GPU infrastructure to optimize AI investments and inform datacenter and cloud decisions.
Work on Codex Enterprise to build and ship secure, scalable integrations and production systems that enable the world’s largest companies to use AI as a software engineer.
Lead NetBox Labs' Customer Success organization to scale adoption, retention, and expansion while driving key metrics like NRR, CSAT, and Time‑to‑Value.
Lead platform tooling and upgrade initiatives for Delinea's Secret Server and PAM capabilities, partnering with cross-functional teams to translate customer needs into secure, scalable product solutions.
Work as a New Grad Software Engineer at a YC-backed construction tech company building high-scale backend systems that unify legacy on-prem systems under a modern API platform.
Mastercard is hiring a Lead AI/DevOps Engineer to architect and run Kubernetes-based AI infrastructure, lead on-prem DevOps, and deliver advanced LLM/RAG solutions to internal and customer teams.
Drive the strategy and execution for Camunda 8 self-managed deployments to make on-prem, air-gapped, and Kubernetes installations enterprise-ready, scalable, and easy to adopt.
Mastercard seeks a Lead AI/DevOps Engineer to architect and operate Kubernetes-based AI infrastructure, enabling LLMs, RAG, and agentic workflows while ensuring security and scalability for enterprise customers.
Lead NVIDIA’s Enterprise Platform engineering team in Santa Clara to architect and scale a secure, Kubernetes-based platform for enterprise and AI deployments across cloud and on‑prem environments.
XBOW seeks a Platform Infrastructure Research Engineer to build resilient, multi-cloud distributed systems and developer-facing infrastructure that power its AI-driven security platform.
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