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.