- Clera
- New York, NY
- Full-Time
- 33 days ago
- $200,000 – $350,000
Senior Software Engineer, Platform.
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Senior Software Engineer, Platform: our view in 3 lines...
- The Role:This role is for a senior software engineer building platform systems for an AI-native analytics startup.
- The Person:The person will build the agentic semantic layer, design orchestration systems for distributed agents, and architect AI-centric ETL pipelines for data lakehouses.
- Requirements:The ideal candidate has 4+ years of experience as a backend or platform engineer, strong proficiency in Golang, and hands-on experience with gRPC/ConnectRPC, Trino, Kubernetes, DuckDB, and PostgreSQL.
About the role
About the Role
Join the platform team at a seed-stage AI-native analytics startup building an agentic data lakehouse that delivers trustworthy answers from complex enterprise data. You'll help shape the data foundation that powers AI-driven analytics at scale — without heavy schema migrations or data movement. This is a high-ownership role at the core of the product.
What You'll Do
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Build the agentic semantic layer that gives agents the context to query enterprise data correctly and the guardrails to prove their results.
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Design and implement orchestration systems for distributed agents, including API integrations, rate limiting, OAuth passthrough, model routing, scheduling, and token optimization.
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Architect AI-centric ETL pipelines for data lakehouses that make large-scale analytics accessible to organizations with minimal data engineering resources.
What We're Looking For
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4+ years of experience as a backend or platform engineer building scalable distributed systems.
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Strong proficiency in Golang, with the ability to contribute across infrastructure, services, or frontend as needed.
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Hands-on experience with gRPC/ConnectRPC, Trino, Kubernetes, DuckDB, and PostgreSQL in a distributed data platform context.
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Experience building orchestration systems for distributed agents, including API integrations, rate limiting, OAuth, model routing, or token optimization.
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Experience designing or implementing ETL pipelines, data modeling, or schema design for data platforms.
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Background at early-stage, VC-backed startups with a track record of building products from zero to one.
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Strong CS fundamentals; bachelor's degree in Computer Science, Software Engineering, or equivalent professional experience.
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Familiarity with data visualization tools or big data technologies (e.g., Spark, Hadoop, or similar) is a plus.
Compensation & Benefits
Salary range: $200,000 – $350,000 USD annually. Equity included. Visa sponsorship is available.
Location
On-site in New York, NY. Candidates must be willing to work in-office full time.
