---
title: 'Senior Platform Engineer at Nomic'
canonical: 'https://feeny.ai/job/senior-platform-engineer-nomic-new-york-a3edyz963v3t'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Platform Engineer at Nomic

- **Company:** Nomic
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-16
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.ashbyhq.com/nomic.ai/f9cceb53-641d-400a-8f92-740849cb0d41

## Job description

## ABOUT NOMIC

Nomic is the domain-specific AI platform for the Architecture, Engineering, and Construction (AEC) industry. We help enterprise teams extract structured knowledge from decades of drawings, specs, and project files — combining embedding models, document parsing, and autonomous agents that reason over real-world data and take action in live environments.

## THE ROLE

Nomic is hiring a Senior Platform Engineer to own our infrastructure stack — multi-account AWS, Kubernetes, IaC, CI/CD — and the systems that make our agents run well in production: orchestrating rollouts across customer environments, keeping inference fast and reliable, and maintaining industry-leading performance as we scale.

We're already deployed across dozens of companies on three continents, delivering value in production today, and we train and deploy our own models. Your job will be to scale that footprint up dramatically — more customers, more environments, more inference — without performance or reliability slipping as we grow.

This is a senior IC role with broad ownership and real architectural influence. You'll have a wide surface area and the autonomy to shape it.

## WHAT YOU'LL OWN

Rollout and deployment. Orchestrating how our agents and services roll out across many customer cloud environments: deployment strategies, per-customer configuration, automated health checks, and the monitoring that catches problems before customers do.

Inference and performance. Keeping model inference fast, reliable, and cost-effective at scale — serving infrastructure, GPU workloads, and the performance work that keeps agents responsive as volume grows.

Core infrastructure. Kubernetes, multi-account AWS, CI/CD, observability (traces, metrics, logs, alerting, SLOs), disaster recovery, and cost management.

Security posture. Access controls, secrets management, network security, image scanning, dependency auditing, and compliance work (SOC 2, enterprise security) as customer requirements demand.

Infrastructure as code. Defining, provisioning, and evolving all infrastructure through code — designing modules, managing state, and thinking hard about blast radius.

## ABOUT YOU

## REQUIRED

- 5+ years in infrastructure, DevOps, or SRE roles running cloud infrastructure in production
- Strong Kubernetes experience — deploying workloads, debugging real issues, working with operators and controllers
- Solid infrastructure-as-code skills — designing modules, managing state, reasoning about blast radius
- Strong software engineering fundamentals — you write and review production code in Python and/or TypeScript, not just infra configs
- Linux systems and networking fundamentals
- CI/CD pipeline design and maintenance
- A proactive orientation and genuine comfort owning a wide surface area

## PREFERRED

- Terraform experience
- Observability platforms (Datadog, OpenTelemetry) — dashboards, trace/metric/log pipelines
- PostgreSQL operations — performance tuning, replica management
- ML/AI infrastructure — inference services, GPU workloads, model serving, eval pipelines
- Multi-tenant deployment patterns or per-customer isolation
- Experience building sandboxed execution environments or automated reliability systems

## WHAT WE OFFER

- Competitive base salary and performance-based compensation
- Equity participation
- Medical, dental, and vision coverage
- Flexible PTO
- Hybrid NYC model preferred, remote considered for the right person
- A senior role with broad ownership — the infrastructure decisions you make define how reliably Nomic runs and scales in the field

## About Nomic

## Company Overview
- **One-liner**: Nomic is a domain-specific AI platform that transforms unstructured data into AI-ready knowledge for architecture, engineering, and construction (AEC) firms.
- **Entity Type**: Private (Series A, $17M total funding)
- **Headquarters**: New York, New York, United States
- **Founded**: 2022
- **Founders**: Andriy Mulyar (CEO) and Ben Schmidt (CTO)

## Core Business
- Primary industry: Artificial Intelligence for AEC (Architecture, Engineering, Construction)
- Target customers: B2B – architecture firms, engineering consultancies, general contractors, specialty contractors, project managers, design teams
- Mission: "Accelerating the design and construction of the built world through AI."

## Products & Services
- **Nomic Platform**: AI agents that automate AEC workflows—RFP responses, QA/QC reviews, code compliance, document parsing, and intelligent search across drawings, specs, and project data. SaaS platform.
- **Developer API**: RESTful APIs (nomic-embed-text, nomic-embed-vision, drawing parse) with Python and JavaScript SDKs. Trained on 100,000s of drawings and project files. Supports PDFs, images, CAD files, and more.
- **GPT4All**: Open-source tool to run AI models locally on any device with no cloud connection required. Cross-platform (Windows, Mac, Linux). Focus on privacy and offline inference.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company)
- **Key Metric**: Total Funding $17M (Series A, July 2023, led by Coatue with 12 investors); Estimated annual revenue ~$1M per LinkedIn
- **Notable Investors/Partners**: Coatue (lead), 12 investors; Partnership details not publicly listed
- **Growth Signals**: Headcount of 16 (+10% YoY; +4.8% monthly); LinkedIn followers 8,022 (+30% YoY); Active hiring for Senior Software Engineer, Senior Platform Engineer, Account Executive (APAC), Customer Success Manager, and Growth Engineer

## Competitive Advantages
- Domain-specific AI models trained exclusively on AEC content (100,000s of drawings and project files) – reduces hallucinations common in generic AI.
- Zero data retention policy; legally binding agreements with external providers; flexible deployment (cloud, on-premise, hybrid, private cloud) – strong data security and privacy.
- GPT4All open-source project builds brand credibility in the AI developer community and enables privacy-first local inference.
- Focus on institutional knowledge capture for AEC firms, turning scattered documents into AI-ready, actionable insights.

## Strategic Focus
- Expand domain-aware AI agents to automate critical AEC workflows (submittal reviews, code compliance, RFPs).
- Grow international sales presence (APAC region hiring).
- Deepen developer platform with more API capabilities and SDKs.
- Publish research (white papers, academic publications) to establish thought leadership in AEC AI.

## Why Work Here
- Early-stage startup (16 employees, Series A) offering significant ownership and impact across engineering, product, and go-to-market.
- Hybrid work model based in New York, NY (most roles listed as Hybrid).
- Cutting-edge AI research environment with open-source contributions (GPT4All, research publications).
- Strong security-first culture; engineers work on infrastructure for autonomous agents, compliance, and data governance.
- Diverse distributed team (USA, Canada, Ukraine) with a collaborative, mission-driven atmosphere.

## Sources
1. [nomic.ai](https://www.nomic.ai/) (Platform, Developer, Careers, Security, GPT4All pages)
2. [linkedin.com](https://www.linkedin.com/company/nomic-ai)
3. [builtin.com](https://builtin.com/company/nomic-ai/jobs)
4. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/nomic.ai)

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