Software Engineer, Platform Equity at Duckbill

Job Title

Software Engineer, Platform

$200k-$250k + Equity

Duckbill is a $7.75M seed-funded San Francisco company backed by Heavybit and Uncork Capital, building Skyway to automate cloud cost management. Founded by domain experts with seven years of research, Duckbill provides the financial infrastructure used by AI labs and neoclouds to manage nine-figure infrastructure agreements.

Join a high-impact team building Skyway, a financial platform for AI-native companies managing massive infrastructure costs. You will architect data systems processing hundreds of millions of billing rows using Python and Click House. As one of the first ten engineers, you will own the infrastructure transforming unstructured cloud agreements into precise, actionable financial data.

San Francisco, USA

• Direct impact on $10M+ compute decisions for the world’s leading AI labs and neoclouds through your data models and financial engines.
• Backed by $7.75M from Heavybit and Uncork Capital with a massive competitive advantage derived from seven years of proprietary benchmark data.
• Massive autonomy in an engineering team of six where you will make foundational technical decisions and ship code to production daily.

• Build and maintain streaming and batch data processing pipelines for hundreds of millions of rows using OTel, API pulls, and S3.
• Develop the contract application engine that reconciles complex, unstructured cloud agreements with real-time consumption data for mission‑critical financial accuracy.
• Design multi‑provider data models and partitioning strategies in Click House to deliver sub‑second performance on heavy analytical workloads for strategic finance leaders.

• Strong professional experience building large‑scale data systems using Python, SQL, and OLAP databases like Click House, Snowflake, or DuckDB.
• Deep understanding of ETL pipelines, lakehouse architectures, and the nuances of reconciling streaming versus batch data sources in high‑precision environments.
• Self‑directed engineer who thrives in high‑autonomy environments and maintains a fastidious approach to data quality when no clear spec exists.