About the Opportunity

Noara Labs is partnering with a fast-scaling NYC-based startup building the next generation of agentic data infrastructure.

The mission: drive the unit cost of a data-driven decision to zero.

You’ll help build an agentic data lakehouse — systems that allow AI agents to safely query, reason over, and operate on messy enterprise data without requiring schema migrations, heavy ETL processes, or long implementation cycles.

This is a deeply technical platform role focused on distributed systems, data infrastructure, and AI-native orchestration.

What You’ll Work On

Agentic Semantic Layer

Build systems that give AI agents reliable enterprise data context.
Implement guardrails to validate and prove correctness of AI-generated queries.
Create trust layers for production-grade analytics.

Distributed Agent Systems

Architect orchestration systems for AI agents interacting with APIs and external services.
Design systems for model routing, OAuth passthrough, rate limiting, scheduling, and token optimization.
Build distributed coordination systems at scale.

Agentic Data Engineering

Design AI-centric ETL pipelines for lakehouse environments.
Enable large-scale analytics for organizations without heavy data engineering teams.
Build scalable systems that power self-serve, AI-driven analytics.

Tech Stack

Golang (dealbreaker)
gRPC / ConnectRPC
Trino
Kubernetes
DuckDB
PostgreSQL
Distributed data platform architecture

Core Requirements (Dealbreakers)

4+ years of experience as a backend or platform engineer building scalable distributed systems.
Strong proficiency in Golang.
Experience building production-grade systems in distributed environments.

Required Experience

Experience at early-stage startups or building products from 0→1.
Knowledge of data engineering, data modeling, and big data technologies.
Experience using Trino, Kubernetes, DuckDB, PostgreSQL, or similar distributed data platforms.
Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience.
Strong ownership mindset and ability to operate in ambiguous environments.
Comfortable working across the stack (infrastructure, services, occasionally frontend).

Nice to Have

Experience building distributed data platforms.
Exposure to semantic layers, analytics tooling, or dbt-style ecosystems.
Experience with AI-driven data workflows.
Ability to contribute beyond backend (infrastructure or adjacent systems).

Compensation & Logistics

Competitive base salary
$100K equity
$50K–150K performance bonus
5 days/week in-office (FiDi, NYC)
Visa sponsorship available
401(k) match up to 5%
Premium health, dental, and vision insurance
21 days PTO
Free lunch
Fast interview process (decision within ~72 hours of on-site)

Why This Role?

Build foundational infrastructure for AI-native data systems
High ownership in a fast-scaling engineering team
Work at the intersection of distributed systems, data platforms, and AI
Strong compensation + equity package
Direct impact on enterprise decision-making workflows

Senior Software Engineer (Platform)