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# Senior Platform Engineer San Francisco

- **Company:** Orb, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $140,000 - $220,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computing Platforms, Continuous Integration, Software Engineering, Agentic-AI, Build Tools, Terraform
- **Published:** November 13, 2026
- **Apply:** https://www.nettemps.com/us/en/W64D8E5B11703DEF29C.ntap

## About the Role

* 5+ years of experience in software engineering, including owning a developer or application platform (or core infrastructure) at meaningful scale
 * Deep hands-on experience with AWS, infrastructure-as-code (Terraform or similar), containers, and CI/CD
 * You've built platforms other engineers rely on, and you care about their reliability and day-to-day experience
 * You take open-ended, ambiguous problems, define them yourself, and drive multi-quarter initiatives to completion with minimal oversight
 * Excited about AI-assisted and agent-driven development, and want to help define what it looks like in a real engineering organization

## Description

As a senior engineer on our platform team, you'll build the platform that lets Orb's engineers - and increasingly, AI agents - ship quickly and safely. That spans two layers: the infrastructure and developer platform (CI/CD, infrastructure-as-code, build systems, developer sandboxes and preview environments, and the observability that keeps our on-call humane), and the application platform - the framework primitives and abstractions that let product engineers build quickly and with high quality. This is a founding, high-autonomy role on a small and growing team, with room to shape both the technical direction and how AI-assisted development works at Orb.
In this role you will:

 * Own and evolve our developer platform - CI/CD (including safe, progressive delivery), infrastructure-as-code, and the build system across a large multi-service codebase
 * Build the application-platform primitives - frameworks, abstractions, and paved paths - that let product engineers ship quickly and with high quality
 * Build tooling that lets engineers and AI agents develop against production-like environments quickly and safely: sandboxes, preview environments, and fast feedback loops
 * Improve developer-facing observability and on-call health: better signal, fewer pages, faster diagnosis
 * Push forward our investment in AI-assisted, agent-driven development - the primitives that make it effective and safe
 * Partner with security to make our infrastructure and workflows safe by default