Job Description

You'll design intelligent scheduling engines and data pipelines for just-in-time access across AWS/GCP/Azure/SaaS platforms. Build scalable integration pipelines connecting dozens of cloud providers and enterprise tools. Architect data models mapping complex permission relationships across multi-cloud environments. Ship fast with AI tools while maintaining quality. Direct impact on product direction and technical strategy. Requirements include strong Python/backend, cloud platforms experience, shipped complex systems, Postgres/data modeling/ELT pipelines at scale, early-stage mindset, strong opinions loosely held. Bonus skills: FastAPI/Pydantic, deep IAM/security knowledge, BigQuery, Kubernetes.