Senior Software Engineer, Platform

About this role

### About the Role

We're a fast-growing, well-funded AI-native analytics company (Series A/B equivalent) building an agentic data lakehouse that delivers trustworthy answers from messy enterprise data. Our platform helps organizations in highly regulated industries — including financial services and healthcare — query and reason over complex data using natural language, without heavy schema migrations or data movement.

As a Senior Software Engineer, Platform, you'll join the platform team shaping the data foundation that powers AI-driven analytics at scale. This is a zero-to-one, high-ownership role at a ~40-person company with strong investor backing and notable enterprise customers.

### What You'll Do

• **Agentic Semantic Layer:** Build the system that gives AI agents the context to query enterprise data correctly and the guardrails to prove their results — making AI-generated analytics something teams can actually stake decisions on.
• **Distributed Agent Orchestration:** Design and implement orchestration systems for agents that interact with the real world — including API integrations, rate limiting, OAuth passthrough, model routing, scheduling, and token optimization.
• **Agentic Data Engineering:** Architect AI-centric ETL pipelines for data lakehouses that make large-scale analytics possible for organizations with little to no dedicated data engineering resources.

### What We're Looking For

Required:

• 4+ years of practical experience as a backend or platform engineer building scalable distributed systems
• Strong proficiency in **Golang**, with the ability to contribute across infrastructure, services, or frontend as needed
• Hands-on experience with **gRPC/ConnectRPC, Trino, Kubernetes, DuckDB, and PostgreSQL** in a distributed data platform environment
• Experience designing or implementing ETL pipelines, data modeling, or schema design for data platforms
• Experience building orchestration systems for distributed agents (API integrations, ...