Software Engineering – DevOps Engineer

Virtue AI • San Francisco, CA

47d

About The Position

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.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level