> Markdown version of [/jobs/ext/4625539-software-engineer-mid-level-to-staff](https://www.wearedevelopers.com/jobs/ext/4625539-software-engineer-mid-level-to-staff). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Software Engineer, Mid-Level to Staff+

- **Company:** True Talent Solutions LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $225,000.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Databases, Software Debugging, Linux, Distributed Systems, Software Tools, System Programming, TypeScript, AI Infrastructure, ReactJS, Backend, AI Platforms, Information Technology, Machine Learning Operations, Webhooks, Docker
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_29d190e96b5c94c0f9d990f55f5194cb

## About the Role

* At least 3 years of experience shipping production software, with experience ranging from mid-level to Staff+ and a recent record of hands-on individual contributor work.
 * Production experience with TypeScript across Node.js backends and React frontends, plus ownership of backend or infrastructure systems.
 * Strong computer science fundamentals and a bachelor's degree in computer science or comparable preparation.
 * Hands-on experience with GCP, Docker, deployments, and debugging at the container or Linux level.
 * Experience building agent systems or core infrastructure such as tool execution, sandboxed runtimes, databases, distributed systems, or model serving. Systems programming experience in Rust or C++ is a plus.
 * Experience building and owning a product or system from scratch, ideally in an early-stage environment.
 * Clear communication about personally delivered work, technical decisions, and tradeoffs.

## Description

Join an engineering team building an AI platform that uses agents to carry out business tasks across software tools. This hands-on individual contributor role can focus on product, platform, AI infrastructure, or a combination, helping make agent-powered work reliable and useful., * Develop backend APIs and services for accounts, permissions, billing, analytics, integrations, and automations.

 * Design and operate reliable systems for connectors, authentication, webhooks, and third-party integrations.
 * Build and improve agent and runtime infrastructure, including execution environments and systems that support reliable, scalable agent behavior.
 * Own production systems, make thoughtful decisions about architecture and data models, and improve reliability, security, and operational simplicity.
 * Prototype, learn from customer feedback, and follow important engineering problems across the stack.