Software Engineering – DevOps Engineer

Job Overview

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.

Key Responsibilities

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

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