À propos
Location: San Francisco, CA (Onsite | Remote) Virtue AI sets the standard for advanced AI security platforms. Built on decades of foundational and award-winning research in AI security, its AI-native architecture unifies automated red-teaming, real-time multimodal guardrails, and systematic governance for enterprise apps and agents. Deploy in minutesacross any environmentto keep your AI protected and compliant. We are a well-funded, early-stage startup founded by industry veterans, and we're looking for passionate builders to join our core team. As a DevOps Engineer, you will own the reliability, automation, and operational discipline of Virtue AI's production systems. When something breaks, you fix it. When it doesn't scale, you redesign it. You will: Design, build, and maintain CI/CD pipelines using GitHub Actions Own repo structure, branching strategy, release workflows, and versioning Build and operate Kubernetes infrastructure on GKE Package, deploy, and optimize services using Docker Design production-grade system observability Metrics, logs, alerts, dashboards Datadog, Grafana, Prometheus Monitor and improve service reliability, latency, and uptime Debug real production issues across infra, networking, containers, and code Partner with backend, ML, and platform engineers to remove operational bottlenecks You don't just "set up pipelines." You understand why systems fail, and you design so they don't fail the same way twice. Required Qualifications Bachelor's degree or equivalent practical experience Strong hands-on experience with: CI/CD (GitHub Actions required) Repository management (monorepos, release branches, tagging, rollbacks) Deep experience with: Kubernetes Docker Experience designing and operating observability systems Datadog and/or Grafana in production Strong understanding of system design Availability, scalability, fault isolation Proven ability to solve real production problems, not just configure tools Comfortable working directly on production systems Preferred Qualifications Experience operating ML / LLM inference systems Experience with GPU workloads and resource scheduling Experience supporting enterprise customers with SLAs Familiarity with infrastructure-as-code (Terraform / Pulumi) Startup experience: you move fast, take ownership, and clean up after yourself Why Join Virtue AI Competitive salary + equity High ownership You define how production runs Real impact Your work directly affects customers and revenue Hard problems Distributed systems, GPUs, scale, security Strong technical peers Engineers who ship and debug, not just design
Compétences linguistiques
- English
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