Senior Software Engineer, Platform

About this role

### About the Role

Join the platform team at a well-funded AI/ML data analytics startup building an agentic data lakehouse that delivers trustworthy answers from messy enterprise data. You'll help shape the data foundation that enables AI-driven analytics at scale — without heavy schema migrations or data movement. This is a high-impact, zero-to-one engineering role at an early-stage company backed by top-tier investors.

### 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 — turning AI-generated queries into something teams can actually rely on.
• **Distributed Agent Orchestration:** Design and implement orchestration systems for distributed agents, including API integrations, rate limiting, OAuth passthrough, model routing, scheduling, and token optimization.
• **Agentic Data Engineering:** Architect AI-centric ETL pipelines for data lakehouses, enabling large-scale analytics for organizations with minimal data engineering resources.
• Contribute across infrastructure, services, or frontend as needed in a small, fast-moving team.

### What We're Looking For

Required:

• 4+ years of practical experience as a backend or platform engineer building scalable distributed systems.
• Proficiency in **Golang** (dealbreaker).
• Experience with **gRPC/ConnectRPC, Trino, Kubernetes, DuckDB, and PostgreSQL** in a distributed data platform environment.
• Experience at early-stage startups or building products from zero to one (VC-backed preferred).
• Strong CS fundamentals; Bachelor's degree in Computer Science, Software Engineering, or comparable experience.
• Experience with data visualization tools, data engineering, data modeling, and big data technologies.

Nice to Have:

• Ability to contribute across infrastructure, services, or frontend beyond core backend work.
• Background at companies working on data warehousing, BI tooling...