Job Description

Build intelligent scheduling engines that orchestrate just-in-time access across thousands of cloud resources. Design AI-powered systems that help customers intelligently request and review access across AWS, GCP, Azure, and SaaS platforms. Create scalable integration pipelines using durable functions to connect with dozens of cloud providers and enterprise tools. Develop next-generation data models that map complex permission relationships across multi-cloud environments. Work with AI coding agents to accelerate development and ship features faster. Requirements include strong Python experience (FastAPI is a plus), experience with data modeling and building complex ELT pipelines at scale, Postgres experience and familiarity with BigQuery, API design and development expertise, comfort with cloud platforms and Identity and Access Management concepts, and data lake architectures and Kubernetes experience is a plus.