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Corridor

Infrastructure Engineer

San Francisco (Remote)fulltimemidAdded today

About this role

Corridor seeks an Infrastructure Engineer to build and operate secure, scalable cloud systems supporting AI-driven software development. You'll design AWS infrastructure, improve observability, and lead reliability efforts on a small, high-impact team.

What you'll do

  • Design, build, and scale services on AWS (ECS Fargate, Lambda, Aurora Postgres, SQS, DynamoDB) using Terraform
  • Maintain production reliability, speed, and cost efficiency while leading incident response
  • Establish observability in Datadog with SLOs, burn-rate alerting, and intelligent paging
  • Implement fast and safe deployment practices with automated rollbacks and progressive delivery
  • Collaborate with engineering to enhance developer experience and infrastructure tooling
  • Participate in on-call rotation and drive post-mortems to lasting fixes

What they're looking for

  • AWS infrastructure (containers, serverless, databases, networking, IAM)
  • Terraform infrastructure-as-code
  • Datadog monitoring, logging, SLOs, and alerting
  • Production system reliability and incident management
  • Queue-based and latency-sensitive system operations
  • Software engineering fundamentals
  • Cloud cost optimization
  • CI/CD and deployment automation

Benefits

  • Shape engineering culture at a funded, early-stage security startup
  • Work on infrastructure for AI-powered autonomous software development
  • Hybrid work arrangement (3 days per week in South Beach, SF office)
  • Small team environment with high ownership and impact
  • Exposure to cutting-edge AI and security challenges
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Corridor

Corridor builds an AI coding security platform that detects vulnerabilities in AI-generated code and helps developers safely leverage AI coding assistants. The company is hiring founding sales engineers, AI engineers, and security engineers to develop its product, drive enterprise sales, and strengthen security practices.

View all jobs at Corridor

Likely interview questions

  • Walk us through a production incident you led—what went wrong, how did you respond, and what permanent fix did you implement?
  • Describe your experience scaling Terraform-managed infrastructure on AWS; how do you handle state management and multi-account setups?