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# Staff Software Engineer, Backend (Grader)

- **Company:** OWNER
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $220,000.0 - $240,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Architectural Patterns, Large Language Models, Reliability of Systems, Backend, Data Pipelines
- **Published:** June 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=71d941079e1f5ee9

## About the Role

* 7+ years, with meaningful time owning backend services in production
 * Experience building and operating data pipelines, third-party integrations, and async processing systems at scale
 * Proven track record improving system reliability - observability, alerting, incident reduction, and making operational health a team habit
 * Experience at a product-focused startup or scale-up where you owned systems end-to-end
 * High degree of cross-functional collaboration - past colleagues in product, design, and business would speak highly of your teamwork
 * Strong sense of ownership and drive, excellent communication, and a proactive approach to identifying and solving problems

## Description

* Backend: Node.js, TypeScript
 * Databases: MongoDB, PostgreSQL
 * Infrastructure & Observability: Datadog, AWS, Temporal

The impact you'll have

 * Own the backend services and data pipelines that power Grader scans end-to-end - from ingesting third-party presence signals (Google, Yelp, menus, LLM GEO signals) to serving results reliably at scale
 * Harden the platform before expansion - reduce latency, increase uptime, and build the observability and alerting layer the team needs to confidently scale Grader into new scoring dimensions
 * Establish platform foundations - shared abstractions, operational runbooks, and architectural patterns that reduce toil and give other engineers a reliable base to build on
 * Partner closely with PLG product and the AI Agents team as Grader evolves into a broader AI-powered tool for restaurant owners


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