Infrastructure Engineer - Member of Technical Staff
About The Position
Simile is The Simulation Company, focused on simulating human behavior to keep people at the center of decisions. The company has experienced rapid growth since its launch five months ago, achieving significant revenue growth, developing a new foundation model for human behavior, and releasing a product for predicting the future. Simile serves leading companies like CVS Health, Wealthfront, Deloitte, and Gallup. The company has raised over $200M at a $2B valuation and has grown to a global team of over 50 employees. The Infrastructure team is responsible for building the foundational systems that enable AI agents to operate at scale with uncompromising security, focusing on high-scale cloud networking, distributed systems, and enterprise-grade privacy. The team's work is organized into three pillars: Cloud Foundation (managing multi-cloud footprint), Enterprise Deployments (building secure connectivity for large customers), and Platform & Reliability (developing CI/CD pipelines and observability). The role of Infrastructure Engineer involves owning the infrastructure roadmap from design to operation, ensuring the platform is resilient, compliant, and ready for global scale.
Requirements
- 5+ years of experience building production-grade infrastructure in a high-growth environment.
- Cloud Polyglot: Deep expertise in AWS is required; experience with GCP or Azure is a major plus.
- Networking Guru: Deep understanding of DNS, Load Balancing, Service Meshes, and complex VPC routing.
- IaC Architect: Proven track record managing large-scale environments using Terraform, Pulumi, or other production-ready, battle-tested IaC tools with a focus on reusable, modular infrastructure.
- Operational Mindset: Experience with modern observability (Datadog, OpenTelemetry) and a "you build it, you run it" mentality.
- Communication: Ability to write clear technical specs for both internal teams and external customers.
Nice To Haves
- AI/ML Infrastructure: Experience building or scaling infrastructure for AI/ML workloads, specifically high-throughput inference systems or GPU-accelerated computing.
- Kubernetes Mastery: Strong K8s (EKS/GKE) experience, specifically around multi-tenant security and resource isolation.
Responsibilities
- Architect Multi-Cloud Environments: Design and scale multi-region architectures across AWS and GCP to support global data residency and failover requirements.
- Enable Engineering Velocity: Partner cross-functionally with Product Engineering, Research, and Security teams to build internal tooling and "paved paths" that accelerate development velocity and empower every engineer to ship with confidence.
- Own Enterprise Connectivity: Build and automate secure networking solutions, including VPC peering, PrivateLink, and dedicated interconnects for customer-managed environments.
- Drive Reliability: Set and maintain strict SLOs. You’ll optimize networking paths and resource allocation to ensure our real-time AI features hit their latency targets.
- Champion GitOps: Manage our entire stack via Terraform/Pulumi; ensuring that "the code is the truth" across all environments.
- Security & Compliance: Implement "security-by-design," focusing on encryption at rest/transit and identity management (SAML/SCIM) to meet SOC2 and HIPAA standards.
Benefits
- Comprehensive medical, dental, and vision coverage.
- Flexible time off policies to support work-life balance.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
