Cloud Engineering - Cloud / Platform Engineer

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 Cloud / Platform Engineer, you will own how Virtue AI is deployed, scaled, and operated in customer environments. Your work directly enables one-click bring-up of our platform on AWS and GCP, from PoC to production.

You will:

• Design and maintain one-click deployment workflows for Virtue AI on AWS and GCP

• Build and operate production-grade cloud infrastructure for AI inference, agents, and guardrails

• Own IaC (Terraform / Pulumi) for repeatable, auditable customer deployments

• Package our services into secure, customer-ready deployment units (Docker, Helm, Marketplace images)

• Enable GPU-backed inference (H100/A100/L4, etc.) with correct autoscaling, scheduling, and cost controls

• Implement secure networking (VPCs, IAM, service accounts, private endpoints, firewalling)

• Collaborate with backend, ML, and research teams to align infrastructure with model behavior, evals, and throughput needs

• Debug and unblock customer deployments across cloud, hybrid, and restricted environments

• Improve reliability, observability, and rollout safety (logging, metrics, health checks, rollback)
  

What Makes You a Great Fit

You’re opinionated about production infrastructure, hate snowflake deployments, and believe customers should be able to deploy complex AI systems without talking to an SRE for two weeks.

Required Qualifications

• Bachelor’s degree or higher in CS, CE, EE, or related field

• Strong experience deploying production systems on AWS and/or GCP

• Deep hands-on experience with:

  • Docker and containerized workloads

  • Terraform or Pulumi

  • Kubernetes (EKS, GKE, or equivalent)

• Experience designing secure cloud architectures (IAM, VPCs, private networking)

• Experience deploying GPU workloads in the cloud

• Strong scripting skills (Python, Bash, or Go)

• Ability to own infrastructure end-to-end and support real customers

• Experience in packaging products for:

  • AWS Marketplace

  • GCP Marketplace

  • Helm-based enterprise installs

Preferred Qualifications

• Experience deploying ML / LLM inference systems at scale

• Familiarity with vLLM, sglang, Triton, or similar inference stacks

• Experience with hybrid or on-prem deployments

• Startup experience: you move fast, document what matters, and fix things properly
  

Why Join Virtue AI

• Competitive salary + meaningful equity

• Real impact – You define how enterprises deploy AI security at scale

• Hard technical problems – GPUs, latency, security, reliability, compliance

• Ownership – You build the deployment system others depend on

• Top-tier customers – Work directly with Fortune 500 AI teams

• Early-stage leverage – Your decisions shape product and company direction

Equal Opportunity Employment

Virtue AI is an Equal Opportunity Employer. We welcome and celebrate diversity and are committed to creating an inclusive workplace for all employees. Employment decisions are made without regard to race, color, religion, sex, gender identity or expression, sexual orientation, marital status, national origin, ancestry, age, disability, medical condition, veteran status, or any other status protected by law.

We also provide reasonable accommodations for applicants and employees with disabilities or sincerely held religious beliefs, consistent with legal requirements.