Clera is a talent-matching platform that replaces traditional job applications by connecting candidates and hiring teams through curated introductions.
ABOUT THE ROLE Join the platform team at a well-funded, early-stage AI data analytics startup building an agentic data lakehouse that delivers trustworthy answers from messy enterprise data at scale. As a Senior Software Engineer, Platform, you'll shape the data foundation that powers AI-driven analytics — no heavy schema migrations or data movement required. This is a high-ownership, zero-to-one role on a small, high-caliber team. 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 — raising the bar for trustworthy, AI-generated analytics. - Distributed Agent Orchestration: Design and implement orchestration systems for agents interacting with the broader world — covering 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 accessible to organizations with minimal data engineering resources. - Contribute across infrastructure, services, or frontend as the team and product evolve. WHAT WE'RE LOOKING FOR Required - 4+ years of hands-on experience as a backend or platform engineer building scalable distributed systems. - Proficiency in Golang — this is a hard requirement. - Experience with gRPC / ConnectRPC, Trino, Kubernetes, DuckDB, and PostgreSQL in a distributed data platform environment. - Strong CS fundamentals; Bachelor's degree in Computer Science, Software Engineering, or comparable practical experience. - Background at early-stage, VC-backed startups or demonstrated experience building products from zero to one. - Experience with data visualization tools, data engineering, data modeling, and big data technologies. Nice to Have - Familiarity with semantic layers, ontologies, or metadata management in enterprise data environments. - Experience with AI/ML infrastructure or LLM orchestration patterns. - Comfort owning work across infrastructure, services, or frontend as needed. COMPENSATION & BENEFITS - Salary: $200,000 – $350,000 USD annually - Visa sponsorship is available LOCATION This role is on-site in New York City, NY (Financial District). Candidates must be willing and able to work in-office full-time. Remote or fully-distributed arrangements are not available for this position.