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# Senior Software Engineer - Backend

- **Company:** Harmonic Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Databases, Information Engineering, Data Infrastructure, Data Intelligence, Large Language Models, Database Optimization, Backend, Graphql
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/5a544c13-f320-4443-9721-1f8c92f93632

## About the Role

* You have 6+ years of experience as a software engineer and a track record of building data infrastructure at scale, ideally somewhere that was growing fast enough to break things.
 * You have real product sense. You can reason about what data is actually worth extracting, how it should be structured and served, and how someone will use it once it's in front of them.
 * You think in systems. You've designed data models, picked indexing strategies, and built serving paths that hold up under both load and a user's patience.
 * You want to build product, not just plumbing. Shipping a feature should excite you as much as the infrastructure underneath it, and you think about the customer first, not the schema.
 * You've spent real time wrangling raw, messy, real-world data into something structured and reliable, whether you came up through data engineering or full-stack.
 * Bonus points if you've worked with LLM-powered extraction, search systems, or agentic workflows, or spent time around venture capital, private markets, or company intelligence data.

## Description

* Architect and run the large-scale pipelines that power how Harmonic understands startups, people, and investments.
 * Own our data quality bar (coverage, freshness, accuracy) and go find the new sources and ingestion techniques that raise it.
 * Keep pushing our extraction and reconciliation work toward dynamic, LLM-powered agentic workflows, and build the evals that prove they're working.
 * Work across the backend, databases, search indices, GraphQL APIs, to bring data to life in the product, and build new features or surfaces when the data calls for them.
 * Partner with GTM, Product, Design, and other teams as we ship new data products for customers.