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Sauna

AI assistant for connected work

Senior Full Stack Engineer - Back-End

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • You have 5+ years of engineering experience building and operating backend systems in production, including on-call experience.
  • You are fluent in TypeScript and comfortable working across the stack, with a preference for backend work.
  • You have built real-time systems in production, such as WebSockets, server-sent events, event streaming, or message queues.
  • You have distributed-systems intuition and understand consistency tradeoffs.
  • You have shipped infrastructure to real users, not just internal tooling.

Responsibilities

  • Build and operate sandbox infrastructure where agents execute code, including process isolation, resource limits, and secure credential handling across thousands of concurrent sessions.
  • Design the deployment and migration pipeline for a Cloudflare Workers and Fly.io architecture, including blue-green rollouts and canary patterns.
  • Instrument real-time workloads end to end, including server-sent event streaming, task queues, and multi-model large language model provider routing.
  • Ship backend capabilities, tool integrations, scheduled task execution, and memory indexing.
  • Reduce operational toil through structured logging, tracing, monitoring, and incident-response tooling.

Desired Qualifications

  • Experience with Cloudflare Workers, Durable Objects, or serverless compute at the edge.
  • Experience building agent systems, model-routing layers, or tool-use architectures with large language models.
  • Founder or early-stage engineering experience and a strong interest in product.

About the Company

Sauna

AI assistant for connected work

Sauna is an artificial intelligence software company building a connected work assistant. The company links with communication and productivity tools to organize context, create work products, and carry out authorized tasks. It serves individuals and teams managing knowledge work across multiple applications. Its operating model centers on a cloud-based assistant using persistent context, scheduled activity, and user-directed actions. Teams work across AI research, product, software engineering, design, security, growth, and customer support.

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