# DevOps Engineer \(Founding Team\) - Company: [Fabrion]() - Location: San Francisco Bay Area - Team: Engineering - Employment type: Full Time - Posted: August 11, 2025 ## 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. ## Apply [Apply on Fabrion]() Canonical job page: