Navi AI
Infrastructure Engineer
San Francisco
Sponsorship not specifiedDetected 13 days ago
AWSIncident ResponseLeadership
About the role
- Navi is deployed 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.
Responsibilities
- Own and scale the AWS infrastructure behind Navi's platform, from data ingest to AI pipelines to customer-facing dashboards
- 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
- 5+ years of professional experience building and operating production infrastructure
Requirements
- Deep, hands-on AWS experience: you know the services, the failure modes, and the bill
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
- 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.
- You've shipped automatic failover and fallback mechanisms and lived with them in production
Benefits
- Early-stage equity - real ownership in a category-defining company
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This listing is sourced directly from Navi AI's careers page and normalized into a canonical job model.