Senior Software Engineer, Platform

๐Ÿข Clera ยท all Clera jobs
๐Ÿ“ United States
๐Ÿ’ฐ USD 200,000 - 350,000 / annual
๐Ÿ“… Posted 2026-07-15 ยท via Himalayas
๐Ÿท Senior-Platform-Engineer,Senior-Platform-Engineering,Senior-Principal-Platform-Engineer,Senior-Developer-Platform-Engineer,Senior-Platform-Engineering-Leader,Lead-Platform-Engineer,Senior-Web-Platform-Engineer,Senior-DevOps-Platform-Engineer,Senior-AI-Platform-Engineer
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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 โ€” 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

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Agentic Semantic Layer: Build the system that gives AI agents the context to query enterprise data correctly and the guardrails to prove their results โ€” raising the bar for trustworthy, AI-generated analytics.

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Distributed Agent Orchestration: Design and implement orchestration systems for agents interacting with the broader world โ€” covering API integrations, rate limiting, OAuth passthrough, model routing, scheduling, and token optimization.

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Agentic Data Engineering: Architect AI-centric ETL pipelines for data lakehouses that make large-scale analytics accessible to organizations with minimal data engineering resources.

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Contribute across infrastructure, services, or frontend as the team and product evolve.

What We're Looking For
Required

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4+ years of hands-on experience as a backend or platform engineer building scalable distributed systems.

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Proficiency in Golang โ€” this is a hard requirement.

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Experience with gRPC / ConnectRPC, Trino, Kubernetes, DuckDB, and PostgreSQL in a distributed data platform environment.

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

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Background at early-stage, VC-backed startups or demonstrated experience building products from zero to one.

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Experience with data visualization tools, data engineering, data modeling, and big data technologies.

Nice to Have

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Familiarity with semantic layers, ontologies, or metadata management in enterprise data environments.

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Experience with AI/ML infrastructure or LLM orchestration patterns.

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Comfort owning work across infrastructure, services, or frontend as needed.

Compensation & Benefits

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Salary: $200,000 โ€“ $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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