Senior Software Engineer, Platform

Clera; New York (NY); On-site; USD 200,000 - 350,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Clera is seeking a Senior Software Engineer, Platform to own the data foundation powering AI-driven analytics on a scalable, zero-migration stack. You will shape the agentic data lakehouse and build infrastructure for AI agents to query enterprise data with trustworthy results.

Based in New York City, this on-site role requires 4+ years in backend/platform engineering, deep Golang expertise, and experience with gRPC, Trino, Kubernetes, DuckDB, and PostgreSQL. Visa sponsorship is available.

Qualifications

• 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.

Responsibilities

• Agentic Semantic Layer: Build the system that gives AI agents the context to query enterprise data correctly and the guardrails to prove their results.
• 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 with minimal data engineering resources.
• Contribute across infrastructure, services, or frontend as the team and product evolve.

Skills

Golang

Distributed systems

Data visualization

Data modeling

Big data technologies

Education

Bachelor's degree in Computer Science/Software Engineering or equivalent

Tools

gRPC/ConnectRPC

Trino

Kubernetes

DuckDB

PostgreSQL

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.