Senior Software Engineer, Platform

About the Role

Join the platform team at a seed-stage AI-native analytics startup building an agentic data lakehouse that delivers trustworthy answers from complex enterprise data. You'll help shape the data foundation that powers AI-driven analytics at scale — without heavy schema migrations or data movement. This is a high-ownership role at the core of the product.

What You'll Do

• Build the agentic semantic layer that gives agents the context to query enterprise data correctly and the guardrails to prove their results.

• Design and implement orchestration systems for distributed agents, including API integrations, rate limiting, OAuth passthrough, model routing, scheduling, and token optimization.

• Architect AI-centric ETL pipelines for data lakehouses that make large-scale analytics accessible to organizations with minimal data engineering resources.

What We're Looking For

• 4+ years of 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 context.

• Experience building orchestration systems for distributed agents, including API integrations, rate limiting, OAuth, model routing, or token optimization.

• Experience designing or implementing ETL pipelines, data modeling, or schema design for data platforms.

• Background at early-stage, VC-backed startups with a track record of building products from zero to one.

• Strong CS fundamentals; bachelor's degree in Computer Science, Software Engineering, or equivalent professional experience.

• Familiarity with data visualization tools or big data technologies (e.g., Spark, Hadoop, or similar) is a plus.

Compensation & Benefits

Salary range: $200,000 – $350,000 USD annually. Equity included. Visa sponsorship is available.

Location

On-site in New York, NY. Candidates must be willing to work in-office full time.