Infrastructure Engineer (AI)

Location: San Francisco, United States; on-site

Salary: $200,000–$400,000 USD per year, plus equity and benefits

Company

hirify.global develops AI-powered human behavior simulation infrastructure and products for enterprise decision-making.

What you will do

• Design and scale multi-region, multi-cloud architectures across AWS and GCP for data residency and failover.
• Build internal tooling and reusable paved paths with Product Engineering, Research, and Security teams.
• Automate secure enterprise connectivity, including VPC peering, PrivateLink, dedicated interconnects, and BYOC architectures.
• Define and maintain SLOs, optimize networking and resource allocation, and support latency targets for real-time AI features.
• Manage infrastructure through Terraform or Pulumi using GitOps principles.
• Implement security-by-design controls for encryption, identity management, SOC 2, and HIPAA compliance.

Requirements

• 5+ years of experience building production-grade infrastructure in a high-growth environment.
• Deep AWS expertise; experience with GCP or Azure is a plus.
• Strong knowledge of DNS, load balancing, service meshes, and complex VPC routing.
• Production experience with Terraform, Pulumi, or comparable infrastructure-as-code tools.
• Experience with Datadog or OpenTelemetry and a you-build-it, you-run-it operational mindset.
• Ability to write clear technical specifications for internal teams and external customers.

Nice to have

• Experience scaling AI/ML infrastructure for high-throughput inference or GPU-accelerated computing.
• Strong Kubernetes experience with EKS or GKE, including multi-tenant security and resource isolation.

Culture & Benefits

• On-site work with an engineering-focused environment.
• Competitive base compensation, equity for eligible roles, and comprehensive medical, dental, and vision coverage.
• Flexible time off policies.
• Hiring conversations emphasize clear examples of past work, working style, and mutual expectations.

Hiring process

• The process includes thoughtful conversations and discussion of previous work.
• Candidates may reapply for the same role after a 90-day waiting period.