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Navi AI

Infrastructure Engineer

Posted 18 Days Ago
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In-Office
San Francisco, CA, USA
Senior level
In-Office
San Francisco, CA, USA
Senior level
Own and scale Navi's AWS infrastructure from data ingest to AI pipelines and dashboards. Architect for 100k+ users and 100 RPS, build monitoring/alerting, design automatic failover, manage cloud costs, maintain runbooks/documentation, and contribute to backend pipelines, APIs, and services.
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Navi captures everything a pilot sees and hears and turns it into automated debrief intelligence. The platform is live at flight schools, business jet operators, and the U.S. Air Force — and demand is accelerating. You're the person who turns that demand into deployments.


About the role

Navi is live at Embry-Riddle, Purdue, UND, Sling Pilot Academy, and the United States Air Force, and usage is compounding. The next chapter is not a product problem. It is an engineering problem: serving 100,000+ users and 100 requests per second with the reliability pilots expect from everything else in their cockpit.

You'll own the AWS architecture, the reliability story, the cost curve, and the runbooks the whole team depends on.

What you'll do
  • Own and scale the AWS infrastructure behind Navi's platform, from data ingest to AI pipelines to customer-facing dashboards

  • Architect for real scale: user data and processing for 100,000+ users at 100 requests per second

  • Build monitoring and alerting so we know a system is degrading before a customer does

  • Design automatic fallback and failover mechanisms so a failure never becomes an outage

  • Manage infrastructure costs and keep the cost curve flatter than the growth curve

  • Own our infrastructure documentation and runbooks, and keep them current and usable

  • Contribute across the backend: pipelines, APIs, and services beyond pure infrastructure

About you
  • 5+ years of professional experience building and operating production infrastructure

  • You've dealt with user data and processing at genuine scale. Not 1,000 users. 100,000 users and 100 requests per second

  • Deep, hands-on AWS experience: you know the services, the failure modes, and the bill

  • You've built observability from scratch: monitoring, alerting, on-call, incident response

  • You've shipped automatic failover and fallback mechanisms and lived with them in production

  • You treat cost as an engineering metric and have materially reduced cloud spend at scale

  • Ideally you've carried infrastructure from the seed stage of a company through Series C. If you come from big tech, you've also worked early stage

  • Strong general backend skills; you're an engineer first, infrastructure specialist second

  • You write things down: documentation and runbooks that let others operate what you built

Nice to have
  • An existing network across airlines, charter and fractional operators, or collegiate and military flight training programs

  • Experience selling technical or hardware-plus-software products into regulated industries

  • Background as a pilot, or deep familiarity with flight operations and training workflows

  • Early-stage or founding go-to-market experience

Why this role matters

Navi only changes aviation if it gets into cockpits. The product is built, proven, and trusted by the most demanding operators in the world. The bottleneck now is reach. This role is how Navi goes from a category-defining product to the aviation standard — and the person who owns it will shape how the entire company grows.

What you'll get
  • Early-stage equity — real ownership in a category-defining company

  • Flight training — earn your pilot's license and sell with true domain expertise

  • Impact you can see — the deals you close put Navi in cockpits at airlines, flight schools, and the U.S. Air Force

  • A role that scales into commercial leadership as we grow

How we work
  • Find a way. We don't wait for permission or perfect information. Ideas come from anywhere regardless of title. Figure it out, ship it, iterate.

  • Creativity over control. First principles over process. We'd rather have a creative solution that's 80% right today than a perfect one next quarter.

  • Update fast. Come in with a hypothesis, throw it away when the data says otherwise. Ego has no place here.

  • Intensity with focus. We work hard because the mission demands it. Clarity on what matters is how we make that sustainable.

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