About the RoleWe are looking for an Infrastructure Engineer who thrives on the complexity of modern deployment patterns. You will own the infrastructure roadmap from design to operation, ensuring our platform is resilient, compliant, and ready for global scale.
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.
RequirementsMust Haves- 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.
Compensation & BenefitsAt
Simile, we provide competitive compensation packages that include base salary, equity, and comprehensive benefits.
- Salary Range: $200,000 - $400,000 USD
- Note: Final offers are based on experience, specialized skills, interview performance, and relevant training.
- Equity: Grants are available for eligible roles, subject to board approval.
- Health & Wellness: Comprehensive medical, dental, and vision coverage.
- Time Off: Flexible time off policies to support work-life balance.
Our ProcessWe prioritize thoughtful conversations and clear examples of past work. Our hiring journey is designed to help both sides align on fit, working style, and expectations.
Reapplication Policy: To ensure a fair and thorough evaluation for all applicants, Simile observes a
90-day waiting period before reconsidering candidates for the same role.
