Senior Software Engineer, Platform

Clera

$200K — $350K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of experience as a backend or platform engineer building scalable distributed systems.
  • Proficiency in Golang is mandatory.
  • Experience with gRPC, ConnectRPC, Trino, Kubernetes, DuckDB, and PostgreSQL in a distributed environment.
  • Solid computer science fundamentals and a Bachelor’s degree in Computer Science or a related field.
  • Background in early-stage, VC-backed startups with experience in building products from scratch.
  • Familiarity with data visualization tools, data engineering, data modeling, and big data technologies.

Responsibilities

  • Build an agentic semantic layer for trustworthy AI-driven analytics.
  • Design orchestration systems for agents interfacing with external APIs.
  • Architect AI-centric ETL pipelines for accessible large-scale analytics.
  • Contribute to various areas including infrastructure, services, and frontend as the product grows.

Benefits

  • Visa sponsorship available.
Full Job 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.

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