Founding Infrastructure Engineer
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• The worker fleet: thousands of sheets per project, scaling from zero to hundreds of jobs and back.
• The LLM traffic layer: multi-tenant, metered, every token accounted for in customer billing.
• Streaming for chat and progress updates that survives deploys and dropped connections.
• The document pipeline: rendering, OCR, extraction on very large PDFs.
• CI/CD, the self-hosted runner fleet, and incident response. We're on Azure: Container Apps with KEDA-scaled jobs, Bicep, GitHub Actions, Postgres, Redis, Front Door, Entra ID. Models from Anthropic, Gemini, and OpenAI. We're hiring for depth in containers and isolation, not for any one tool. If you'd run part of it differently, you'll be the one deciding. Two things we need:
• At least 3 years running cloud infrastructure in production. Azure, AWS, or GCP; Azure is a plus, not a requirement.
• You've isolated workloads in production. Containers, microVMs, or Linux sandboxing in a system with real users. We'll go deep on this in the interview. If you've run AI agents inside containers before, even better. We use Claude Code and Codex daily and expect you to as well. The job is in our office in the Financial District, five days a week. Base is $180k to $250k plus up to 1% equity. We're YC-backed, we have revenue, and the team is 10 engineers. Apply here. It takes about 5 minutes: https://tally.so/r/xXkNor?source=linkedin
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