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Runlayer

Zero-trust MCP security platform for enterprises

Infrastructure Engineer - Infrastructure

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Experience deploying and supporting on-premises or bring-your-own-cloud (BYOC) environments, including experience scaling BYOC operations.
  • Background at a business-to-business company serving enterprise customers, ideally building infrastructure or platform products.
  • Strong experience with Amazon Web Services, particularly Elastic Container Service (ECS), Aurora, and Kinesis.
  • Networking experience with virtual private cloud (VPC) peering, Transit Gateway, PrivateLink, security groups, Domain Name System (DNS), and Transport Layer Security (TLS) termination.
  • Experience owning continuous integration and continuous delivery (CI/CD) pipelines and responding to incidents.

Responsibilities

  • Own the reliability and performance of cloud infrastructure across AWS services, including ECS, Aurora, and CloudWatch, as well as Google Cloud Platform (GCP).
  • Manage and optimize Kubernetes clusters and container orchestration.
  • Drive database reliability engineering, including performance tuning and scaling.
  • Build and maintain CI/CD pipelines for rapid, safe deployments.
  • Run incident response and on-call rotations.
  • Partner with product engineers to design scalable, resilient systems.

Desired Qualifications

  • GCP experience as the company expands across clouds.
  • Familiarity with Python or Go.
  • Experience at an early-stage or high-growth company.

About the Company

Runlayer

Zero-trust MCP security platform for enterprises

Runlayer provides an all-in-one security platform that makes the Model Context Protocol (MCP) enterprise-ready, offering a gateway, threat detection, observability, and enterprise development tools to secure MCP-based AI integrations. It acts as a command-and-control plane with a centralized registry to host and approve MCP servers, enforcing zero-trust security, fine-grained access control with IAM integrations (Okta/Entra), and audit trails for compliance. The company differs from other AI security solutions by focusing specifically on MCP governance, backed by deep MCP and security expertise and guidance from the original MCP creator at Anthropic. Its goal is to help enterprises scale AI safely and compliantly by providing governance, control, and visibility over MCP-based AI agents.

Company size
51-200
Company stage
Series A
Total funding
$41M
Headquarters
New York City, New York
Founded
2025

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