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Cursor

Software Engineer, Infrastructure

San FranciscofulltimemidAdded 1 month ago

About this role

Join Cursor's Infrastructure team to build and operate the cloud foundation powering a rapidly growing AI coding tool. You'll own Kubernetes clusters, multi-region deployments, edge security, and cost optimization across their production systems.

What you'll do

  • Build and operate production Kubernetes clusters with service mesh, scaling, and ingress capabilities
  • Design and implement geo-replicated deployment architecture across cloud regions and providers
  • Develop edge and security infrastructure for abuse prevention, rate limiting, and traffic optimization
  • Establish cost attribution systems and optimize cloud spending across the organization
  • Define container orchestration strategy and enable team self-service deployment
  • Maintain infrastructure-as-code practices and system reproducibility

What they're looking for

  • AWS (VPC, EKS, Kubernetes, IAM)
  • Kubernetes and container orchestration at scale
  • Service mesh and multi-region deployment
  • Edge networking and CDN/WAF architectures
  • Infrastructure-as-code tools and practices
  • Cost optimization and financial modeling
  • Network and security infrastructure design
  • Strong software engineering fundamentals
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Cursor

Cursor builds an AI-driven code editor used by millions of developers to transform how software is built. The company is hiring for infrastructure engineers, ML systems specialists, enterprise platform builders, security engineers, and customer success roles focused on driving adoption within large organizations.

Website
cursor.com
View all jobs at Cursor

Likely interview questions

  • Walk us through your experience building and operating production Kubernetes clusters at scale. What were the biggest challenges you faced with service mesh, autoscaling, or multi-region deployments?
  • How have you approached cost optimization and infrastructure waste reduction in a fast-growing environment? Can you describe a specific project where you significantly reduced cloud spending?