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Simile

Enterprise AI platform simulating human behavior

Infrastructure Engineer - Member of Technical Staff

Platform EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • At least 5 years of experience building production-grade infrastructure in a high-growth environment.
  • Deep expertise in AWS is required.
  • Deep understanding of DNS, load balancing, service meshes, and complex VPC routing.
  • Proven experience managing large-scale environments with Terraform, Pulumi, or other production-ready infrastructure-as-code tools, with a focus on reusable, modular infrastructure.
  • Experience with modern observability tools such as Datadog or OpenTelemetry and a you-build-it-you-run-it operational approach.
  • Ability to write clear technical specifications for internal teams and external customers.

Responsibilities

  • Design and scale multi-region architectures across AWS and GCP to support global data residency and failover requirements.
  • Partner with Product Engineering, Research, and Security teams to build internal tooling and paved paths that accelerate development and help engineers ship confidently.
  • Build and automate secure networking solutions, including VPC peering, PrivateLink, and dedicated interconnects for customer-managed environments.
  • Set and maintain SLOs; optimize networking paths and resource allocation to ensure real-time AI features meet latency targets.
  • Manage the full stack through Terraform or Pulumi, ensuring infrastructure configuration is maintained as code across environments.
  • Implement security by design, including encryption at rest and in transit and SAML/SCIM identity management, to meet SOC 2 and HIPAA standards.

Desired Qualifications

  • Experience with GCP or Azure.
  • Experience building or scaling infrastructure for AI/ML workloads, especially high-throughput inference systems or GPU-accelerated computing.
  • Strong Kubernetes (EKS/GKE) experience, particularly multi-tenant security and resource isolation.

About the Company

Simile

Enterprise AI platform simulating human behavior

Simile builds AI models that simulate human behavior to forecast how individuals and groups will respond to scenarios using generative agents grounded in real data. The platform runs simulations of events like product launches, policy changes, or earnings calls to support decision-making. It differentiates itself by grounding agents in hundreds of interviews and behavioral science, combining Stanford-backed research with enterprise-focused decision intelligence. Its goal is to help organizations test decisions and forecast outcomes before acting, reducing uncertainty in strategic planning.

Company size
51-200
Company stage
Late Stage VC
Total funding
$300M
Headquarters
Palo Alto, CA
Founded
2025

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