Infrastructure Engineer
Corridor
San Francisco, United States · Posted today · 26 Sept 2026
City
San Francisco
Type
Full-time
Field
IT / Software
Pay
On apply page
About Corridor
Overview
About Corridor
Software development is becoming autonomous. The fastest teams already work this way, and at Corridor, we are leading the way on secure development as the rest of the industry follows.
Security tools were designed for a world where a person wrote the code and a person reviewed it. That's changing quickly. Corridor is securing software factories. We are the security solution for software that builds itself at every level of autonomy. We are preventing vulnerabilities as agents write code, and guiding teams to help decide what's safe to ship.
We're a small, talented team, led by Jack Cable (Former CISA - Secure by Design), Ashwin Ramaswami (Former CISA, Stanford, and Schmidt Futures).
Corridor is backed by Conviction, with a $25M Series A led by Felicis and our customers include ElevenLabs, Lovable, Mercor, and Langchain.
Summary
As an Infrastructure Engineer, you will strengthen Corridor's architecture and scale its systems to support increasing load, on a small team where you'll shape our engineering culture as we grow.
What You'll Do
- Keep production reliable, fast, and cost-efficient, and lead incident response
- Design, build, and scale services on our AWS platform in Terraform (ECS Fargate, Lambda, Aurora Postgres, SQS, DynamoDB)
- Advance our observability in Datadog with SLOs, burn-rate alerting, and paging that only fires when it matters
- Make deploys fast and safe with automated rollbacks and progressive delivery
- Work closely with engineering to improve developer experience
- Participate in an on-call rotation
- 3+ years building and operating production cloud infrastructure
- Deep hands-on AWS experience across containers, serverless, managed databases, networking, and IAM
- Strong Terraform experience
- Experience with Datadog or similar tools for metrics, logs, SLOs, and alerting
- Experience running queue-based or latency-sensitive systems in production
- A track record of leading incidents and driving post-mortems to fixes that stick
- Strong software engineering fundamentals; you ship with AI coding agents and own every line that lands
- Comfort owning ambiguous problems end-to-end on a small team
What You'll Bring
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