---
title: 'DevOps Engineer (Founding Team) at Fabrion'
canonical: 'https://feeny.ai/job/devops-engineer-founding-team-fabrion-san-francisco-rhgsyhr9s3kx'
type: 'job'
last_seen: '2026-09-08'
---

# DevOps Engineer (Founding Team) at Fabrion

- **Company:** Fabrion
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2025-08-11
- **Last confirmed live:** 2026-09-08
- **Apply:** https://jobs.ashbyhq.com/fabrion/ee416bce-cb97-4c2b-8504-e3457b365245

## Job description

DevOps Engineer (Founding Team)

Location: San Francisco Bay Area

Type: Full-Time

Compensation: Competitive salary + meaningful equity (founding tier)

Backed by 8VC, we're building a world-class team to tackle one of the industry’s most critical infrastructure problems.

## ABOUT THE ROLE

We're building an AI-native, multi-tenant enterprise platform for complex domains in industrial verticals. In this architecture, DevOps isn't just about shipping features — it's about operationalizing intelligent agents, ensuring traceability across AI systems, and supporting mission-critical ML infrastructure at scale.

We're looking for a DevOps engineer who can own infrastructure from Day 1 — automating everything from CI/CD and observability to cloud governance and security. You’ll work with a highly technical team building real-time AI pipelines and multi-agent systems. If you want to be the person who makes the platform run — fast, secure, reliable, and explainable — this is your role.

## RESPONSIBILITIES

- Build and maintain scalable cloud infrastructure across AWS/GCP/Azure with a focus on secure, tenant-isolated deployments
- Own and evolve CI/CD systems (e.g. GitHub Actions, ArgoCD) with progressive rollout, testing, and rollback flows
- Establish observability tooling across services, agents, and pipelines (OpenTelemetry, Prometheus, Grafana, Sentry)
- Implement policy-as-code (OPA, Rego) for deployment safety, RBAC, audit logging, and approval workflows
- Define and enforce SLAs, uptime targets (99.99%+), incident response, and remediation workflows
- Secure infrastructure: IAM, VPC, encryption, key management, image scanning, secrets rotation
- Automate deployments, infrastructure provisioning (Terraform, Helm), and environment replication

## WHAT WE’RE LOOKING FOR

Core Experience:

- 4–10+ years in DevOps, platform engineering, or SRE in production-grade systems
- Strong experience with Docker, Kubernetes (EKS/GKE), Terraform or Pulumi
- Hands-on experience deploying and monitoring distributed cloud-native systems
- Familiar with GitOps practices, CI/CD design, progressive delivery, and secure SDLC
- Clear understanding of how to implement monitoring, alerting, and failure simulation in dynamic environments

Engineering Mindset:

- Obsessed with reliability, latency, uptime, and repeatability
- Security-aware and compliance-conscious
- Proactive — you don’t wait for alerts to fix things
- Comfortable collaborating with backend, AI, and data teams

Bonus: Agent-Native / ML Ops Capabilities

- We’re building an agentic, AI-native platform from the ground up. Experience here isn’t required, but would be a strong differentiator:
- Experience running LLM orchestration frameworks (e.g. LangChain, LangGraph, Dust, ReAct agents)
- Building retrieval-augmented generation (RAG) pipelines — and deploying them safely and repeatably
- Familiarity with vector DBs (Weaviate, Qdrant, Pinecone) and embedding pipelines
- Monitoring and governing long-running or multi-agent chains
- Auditability and replay systems for agent decision-making
- Serving fine-tuned or open-source LLMs with model versioning and GPU scaling (e.g. vLLM, TGI)
- Interest in auto-remediation using agents (e.g. observability + alert → insight → response via LLM)

## WHY THIS ROLE MATTERS

DevOps is the nervous system of the platform — every agent, every data fabric component, every pipeline flows through what you build. This is a rare opportunity to design that system early, the right way, and future-proof it for scale, compliance, and trust.

If you're excited by intelligent systems, distributed data, and deeply technical infrastructure problems — and you want your work to have immediate real-world impact — we’d love to hear from you.

## About Fabrion

## Company Overview
- **One-liner**: Fabrion is an AI-native platform and operating system that provides a real-time intelligence layer for industrial manufacturers, transforming complex value chains with agentic AI, knowledge graphs, and data fabrics.
- **Entity Type**: Private – Seed stage (Seed round with one investor)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2025
- **Founders**: Roy Ng (CEO), Kunal B. (CTO & CPO), Christian V. Jordan, Jake Medwell (Board Member) – experienced operators from AWS, Meta, SAP, and Twilio.

## Core Business
- **Primary industries**: Industrial manufacturing, supply chain, enterprise AI
- **Target customers**: B2B – Enterprise industrial manufacturers, OEMs, and tier suppliers
- **Mission/purpose**: “AI will be the operating system for the next industrial era” – building autonomous, governed AI systems that let teams see, decide, and act on complex manufacturing and supply chain data

## Products & Services
- **Fabrion Platform**: An AI-native operating system that ingests, normalizes, and acts on messy, fragmented industrial data. Uses LLMs, knowledge graphs, vector databases, and agentic systems to deliver real-time intelligence.
- **Fabrion AI Lab**: A full-stack vertical AI research platform focused on:
  - Data fabric for AI (metadata-driven cleanse/correlate/stream)
  - Governance-by-design (observable, reversible, compliant AI)
  - Context memory management (short/long-term recall for agents)
  - Industry knowledge graphs (internal data + external signals)
  - Agent mesh architectures (distributed, goal-conditioned agents)
  - Hybrid & multi-cloud infrastructure
  - Custom fine-tuned models (RAG, SLMs, RLHIL, pre-trained enterprise data)

## Market Standing
- **Valuation**: Not disclosed
- **Key metric**: Seed funding round (amount not publicly stated); 1 investor identified (8VC is prominently featured as a partner)
- **Notable investors/partners**: 8VC (lead through “8VC Build” program); partnering with leading OEMs and forward-thinking industrial companies
- **Growth signals**:
  - Workforce of ~7 employees (all founding/early team) with **9 open job postings** across engineering, research, and business development
  - Web traffic growth: +115.2% monthly (4,264 monthly visits)
  - LinkedIn followers: 343 (+7.5% monthly)
  - Founding team has scaled products from zero to hundreds of millions in revenue at previous companies

## Competitive Advantages
- **AI-native from day one** – not a thin wrapper on foundation models; built as a full-stack vertical AI research platform
- **Deep industry partnerships** with OEMs and industrial companies actively modernizing
- **Proven founding team** with experience at AWS, Meta, SAP, and Twilio – domain expertise in manufacturing, logistics, Big Data, SaaS, and enterprise
- **Focus on governance and compliance** – every AI action is explainable, reversible, and measurable, a critical differentiator for regulated industrial environments
- **Knowledge graph + agent mesh approach** – moves beyond static dashboards to autonomous, semi-autonomous agents

## Strategic Focus
- Build autonomous or semi-autonomous AI agents for manufacturing supply chains (self-healing, rebalancing)
- Embed compliance and governance as first-class citizens in the AI stack
- Advance research in data fabrics, context memory, and custom fine-tuned models for industrial verticals
- Expand agentic capabilities from simulation to real-world production environments

## Why Work Here
- **Culture**: “High EQ, low ego, no assholes”; owners not renters; first-principles thinking; win with customer outcomes; score points, not yardage
- **Work modality**: Hybrid – jobs are listed as “In-Office or Remote” with multiple locations (HQ at Pier 5, The Embarcadero, San Francisco; also remote options)
- **Technical stack**: Kubernetes, Keycloak, Python, SQL, Docker, GraphQL, React, TypeScript, Terraform, Snowflake, Neo4j, OpenAI, MLflow, Grafana, Prometheus – cutting-edge AI/ML infrastructure
- **Impact**: Solving mission-critical problems in global trade and manufacturing – value chains representing billions of dollars; opportunity to define a new industrial AI paradigm
- **Team**: Small founding team with deep experience; opportunity to work across engineering, research, and product from the ground up

## Sources
1. [fabrion.com/careers](https://www.fabrion.com/careers)
2. [builtin.com](https://builtin.com/company/fabrion)
3. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/fabrion)
4. [linkedin.com](https://www.linkedin.com/company/fabrionai)
5. [fabrion.com/ai-lab](https://www.fabrion.com/ai-lab)

## Other roles at Fabrion

- [Founding AI Research Lead - Agentic AI Lab](https://feeny.ai/job/founding-ai-research-lead-agentic-ai-lab-fabrion-san-francisco-c251tdtjjvrw) — San Francisco, CA
- [Founding Designer](https://feeny.ai/job/founding-designer-fabrion-san-francisco-zww16cz5wbwb) — San Francisco, CA
- [Data Partnerships Analyst](https://feeny.ai/job/data-partnerships-analyst-fabrion-san-francisco-2h67mf9ssa3z) — San Francisco, CA
- [Business Development Analyst – Auto](https://feeny.ai/job/business-development-analyst-auto-fabrion-san-francisco-4agd1wrm1x3z) — San Francisco, CA
- [ML/AI Research Engineer — Agentic AI Lab (Founding Team)](https://feeny.ai/job/ml-ai-research-engineer-agentic-ai-lab-founding-team-fabrion-san-francisco-m7ry3fmyn2rd) — San Francisco, CA
- [Frontend Engineer (Founding Team)](https://feeny.ai/job/frontend-engineer-founding-team-fabrion-san-francisco-p4nbwzbq1kgq) — San Francisco, CA
- [Data Engineer (Founding Team)](https://feeny.ai/job/data-engineer-founding-team-fabrion-san-francisco-33hf28h6rgc7) — San Francisco, CA
- [ML Ops Engineer — Agentic AI Lab (Founding Team)](https://feeny.ai/job/ml-ops-engineer-agentic-ai-lab-founding-team-fabrion-san-francisco-na47hpj9nvs7) — San Francisco, CA
- [Founding Engineer](https://feeny.ai/job/founding-engineer-fabrion-san-francisco-50vz9w20z840) — San Francisco, CA