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Beacon AI is building an AI platform to enhance flight safety, efficiency, and capability. The company is backed by top investors, holds a dozen Department of Defense contracts, and partners with major airlines to deliver mission-critical systems.
As a Backend Software Engineer, you will design, build, and scale the backend systems powering the flight safety platform. You'll take ownership of backend services, APIs, and data pipelines while balancing hands-on development with technical leadership. Working closely with product and cross-functional teams, you'll deliver reliable, secure, and scalable systems supporting real-world, mission-critical applications.
Key responsibilities include architecting and maintaining backend services and distributed systems; designing and implementing secure, scalable APIs for internal and external integrations with real-time data streaming support; building and optimizing data pipelines for efficient ingestion, processing, and access to time-series and multimedia data; owning backend system reliability, performance, and scalability in production; leading technical design discussions and contributing to code reviews and architectural decisions; troubleshooting complex backend and cloud infrastructure issues; and taking end-to-end ownership of backend features from concept through delivery.
You should have 5+ years of experience designing and implementing backend services, APIs, and distributed systems in production environments. Fluency in modern backend languages such as Python and JavaScript/TypeScript (Node.js) is required. You'll need proven experience building, scaling, and operating backend infrastructure, a strong ownership mindset, and the ability to operate effectively in evolving environments while maintaining high quality and reliability standards. Experience with data pipelines and backend systems handling large-scale or real-time data is essential.
Bonus qualifications include passion for aviation, familiarity with machine learning workflows or data-intensive systems, experience with big data tools or large-scale data processing frameworks, and background in DevOps or DevSecOps.
This is a hybrid role based in San Carlos, CA, requiring 3+ days per week onsite with flexibility to work remotely on remaining days.
