Senior Software Engineer, Platform

About the Role

Join a fast-growing, venture-backed AI data analytics company building an agentic data lakehouse that delivers trustworthy answers from messy enterprise data. As a Senior Software Engineer, Platform, you'll be a core member of the platform team shaping the data foundation that powers AI-driven analytics at scale — no heavy schema migrations or data movement required.

This is an early-stage, high-ownership role for a backend or platform engineer who thrives in a zero-to-one environment and wants to help define the architecture of next-generation AI analytics infrastructure.

What You'll Do

• Agentic Semantic Layer: Build the system that gives AI agents the context to query enterprise data correctly, along with the guardrails to validate and prove results — making AI-generated analysis something organizations can genuinely 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, enabling large-scale analytics for organizations with minimal 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.

• 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 building orchestration systems for distributed agents — covering API integrations, rate limiting, OAuth, model routing, scheduling, or token optimization.

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

• Experience at early-stage startups or building products from zero to one.

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

Nice to Have:

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

• Background at VC-backed early-stage startups.

Compensation & Benefits

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

• Visa sponsorship is available.

Location

This role is on-site in New York City, NY. Candidates must be willing and able to work from the NYC office. Fully remote candidates are not a fit for this position.