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Clera Himalayas · Posted 5d ago

Senior Software Engineer, Platform

USD 200000-350000 Full time Remote

Senior Platform Engineer Senior Platform Engineering Senior Principal Platform Engineer Senior Developer Platform Engineer
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Indexed description

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.

Originally posted on Himalayas

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