Senior Software Engineer

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