DevOps Engineer (Founding Team)
Fabrion · San Francisco Bay Area
About this role
## 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** - Supporting **mission-critical ML infrastructure** at scale You’ll **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** and uptime targets (**99.99%+**), plus incident response and remediation workflows - Secure infrastructure: **IAM, VPC, encryption, key management, image scanning, secrets rotation** - Automate deployments and provisioning (**Terraform, Helm**) and replicate environments --- ## 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), and **Terraform or Pulumi** - Hands-on experience deploying and monitoring **distributed cloud-native systems** - Familiar with **GitOps**, CI/CD design, **progressive delivery**, and **secure SDLC** - Clear understanding of 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) Experience here isn’t required, but it’s a strong differentiator: - Running **LLM orchestration frameworks** (e.g., **LangChain, LangGraph, Dust, ReAct agents**) - Building **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 (observability + alert → insight → response via LLM) --- ## Why This Role Matters DevOps is the **nervous system** of the platform—every agent, data fabric component, and pipeline flows through what you build. This is a rare opportunit
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