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 ClickHouse. As one of the first ten engineers, you will own the infrastructure transforming unstructured cloud agreements into precise, actionable financial data.
Software Engineer, Platform at Duckbill
Join Duckbill to build Skyway, the platform revolutionizing how AI labs and neoclouds manage massive infrastructure spend. Backed by $7.75M from top-tier VCs like Heavybit and Uncork Capital, you will be the seventh engineer on a team tackling the $47B public cloud market. This isn't just another data pipeline; you will be architecting the financial backbone for companies making ten-figure compute decisions. If you are a Python and SQL expert ready to own a ClickHouse-powered platform with high autonomy and daily shipping, this is your chance to define the future of cloud economics.
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Location
San Francisco, United States
Compensation
$200k-$250k + Equity
Company
Duckbill
Role overview
We help companies negotiate, manage, and forecast cloud and AI contracts. We’ve worked with hundreds of companies and have supported the negotiation of tens-of-billions in cloud and AI contracts.
What you will do
- 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 ClickHouse to deliver sub-second performance on heavy analytical workloads for strategic finance leaders.
Who this is a fit for
- Strong professional experience building large-scale data systems using Python, SQL, and OLAP databases like ClickHouse, 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.
Why this role is remarkable
- 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.
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