Virtue AI-posted about 20 hours ago
Full-time • Mid Level
San Francisco, CA

About Virtue AI 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 minutes—across any environment—to 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. What You’ll Do 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.

  • 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
  • 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
  • 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
  • Competitive base salary compensation + equity commensurate with skills and experience.
  • Impact at scale – Help define the category of AI security and partner with Fortune 500 enterprises on their most strategic AI initiatives.
  • Work on the frontier – Engage with bleeding-edge AI/ML and deploy AI security solutions for use cases that don't yet exist anywhere else yet.
  • Collaborative culture – Join a team of builders, problem-solvers, and innovators who are mission-driven and collaborative.
  • Opportunity for growth – Shape not only our customer engagements, but also the processes and culture of an early lean team with plans for scale.
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