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Clera

Senior Software Engineer, Platform

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New YorkRemote (region-locked)Senior$200k–$350kvia ashby
gogolangrustpostgrespostgresqlkubernetesllmmldistributed systemsscala

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Among 11 openings that publish compensation, the median stated annual range is $200K–$290K USD. This uses observed listing data across 119 live jobs, never an estimated salary.

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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.

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