Fabrion

Fabrion

DevOps Engineer (Founding Team)

San Francisco Bay Area · Full-time

Sponsorship not specifiedDetected 345 days ago
ReactGitVector DatabasesAWSGCPAzureCloud PlatformsDockerKubernetesTerraformHelmCI/CDGitHub ActionsPrometheusGrafanaDevOpsSite Reliability EngineeringPlatform EngineeringMachine LearningLLMsRAGMLOpsLangGraphAI Orchestration

About the role

  • 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.
  • 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
  • Implement policy-as-code (OPA, Rego) for deployment safety, RBAC, audit logging, and approval workflows
  • 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
  • We're building an agentic, AI-native platform from the ground up.

Requirements

  • 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
  • Experience here isn't required, but would be a strong differentiator:
  • Experience running LLM orchestration frameworks (e.g. LangChain, LangGraph, Dust, ReAct agents)
  • Familiarity with vector DBs (Weaviate, Qdrant, Pinecone) and embedding pipelines

Skills

  • DevOps Engineer (Founding Team)

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.
  • 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.

Benefits

  • Bonus: Agent-Native / ML Ops Capabilities

This listing is sourced directly from Fabrion's careers page and normalized into a canonical job model.