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# Senior Software Engineer - Infrastructure

- **Company:** PROBOOK LLC
- **Location:** Manhattan, KS, United States
- **Experience:** Expert
- **Salary:** $200,000 - $300,000
- **Contract:** Permanent contract
- **Skills:** Cloud Computing, Continuous Integration, Software Debugging, Distributed Systems, Software Engineering, Software Coding
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25196_9ea2842b2b71bc7ed38481b706b326ef

## About the Role

* 3-6 years of engineering experience with meaningful ownership of infrastructure you built rather than inherited.
 * Zero-to-one experience. You've built infrastructure from scratch at a startup, or stood up new systems on a team inside a larger company.
 * Strong infrastructure fundamentals across distributed systems, cloud infrastructure, networking, CI/CD, and observability.
 * Real software engineering. Infrastructure at Probook means writing code and owning complex systems end to end, from design through production.
 * Breadth over depth. You'd rather build new systems than operate mature ones, and you move up the stack when that's where the problem is.
 * Judgment. You know when a system deserves careful architecture and when it deserves to be finished this week.

## Description

* Product infrastructure. Build and operate the infrastructure behind our real-time decision systems - durable execution, workflow orchestration, reliability, and performance for products customers run their business on.
 * Agent infrastructure. Build the sandboxes, evaluation infrastructure, and harnesses our engineers use to develop and ship agent workflows, including the compute environments agents execute in.
 * The developer platform. CI/CD, deployment, local development, and internal tooling - the abstractions that let the team ship in days rather than quarters.
 * Reliability and observability. Instrumentation, monitoring, incident response, and debugging tooling for systems whose failure modes are often probabilistic rather than deterministic.
 * Cost and scale. Cloud and inference costs as the product footprint grows, and capacity and architecture decisions made before they become bottlenecks.
 * Partner across engineering. Work directly with the product engineers building on your infrastructure, and with the customers affected by it.