NVIDIA
US - California - Santa Clara
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Design and operate platform infrastructure for the full lifecycle of production AI agents, including Kubernetes execution environments, CI/CD, event streaming, data services, session management, authentication, and secrets. Partner with security and engineering teams to establish scalable, framework-agnostic services, access controls, and operational workflows.
Requirements: Requires a bachelor's or master's degree in computer science, engineering, or a related field (or equivalent experience), plus 12 or more years of software engineering experience. Candidates should bring deep Kubernetes and Python expertise, experience with distributed systems and CI/CD, AI data platforms, agent frameworks, and authentication and secrets management, along with a record of leading complex cross-team projects.
Key Skills: Kubernetes, Python, Distributed Systems, Kafka, Redis, MongoDB, PostgreSQL, GitLab CI, ArgoCD, FastAPI, OAuth 2.0, JWT, HashiCorp Vault, AI Agent Platforms, RAG Architectures, Vector Databases
Benefits: Equity, Benefits
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