Senior Software Engineer, Platform

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, rate limiting, OAuth, model routing, scheduling, or token optimization)

• Prior experience at an early-stage startup, ideally building products from zero to one

• Bachelor's degree in Computer Science, Software Engineering, or comparable professional experience

• Strong CS fundamentals

Nice to Have:

• Experience with data visualization tools or big data technologies (Spark, Hadoop, or similar)

• Background at a VC-backed startup

Compensation & Benefits

• Salary: $200,000 – $350,000 USD annually (depending on experience)

• Equity participation

• Visa sponsorship is available

Location

This role is on-site in New York City, NY. Candidates must be willing and able to work in-office full-time. Fully remote arrangements are not available for this position.