Hybrid Lead Backend Engineer for Real-Time Flight Safety

AI Chopping Block

San Carlos (CA)

Hybrid

USD 150,000 - 190,000

Full time

6 days ago
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Benefits offered by this job

Healthcare: 100% of employee medical +
Time Off: 3 weeks PTO + 13+ holidays
401(k): Offered

Job summary

Beacon AI in San Carlos, CA is seeking a Lead Backend Software Engineer to own the backend services powering our flight safety platform. You will design, build, and scale APIs, data pipelines, and distributed systems, balancing hands-on development with technical leadership across product teams.

The role emphasizes reliability, security, and performance in production, with collaboration across engineering, data, and operations.

Qualifications

  • 9+ years of experience designing and implementing backend services.
  • Fluency in Python and JavaScript/TypeScript (Node.js).
  • Experience with data pipelines and large-scale or real-time data.
  • Strong ownership and end-to-end delivery.

Responsibilities

  • Architect, build, and maintain backend services and distributed systems.
  • Design secure, scalable APIs for internal and external integrations.
  • Build data pipelines for time-series and multimedia data.
  • Own backend reliability, performance, and scalability in production.
  • Lead technical design discussions and code reviews.
  • Troubleshoot backend and cloud infra issues to ensure high availability.
  • Own features from concept to delivery with cross-functional partners.

Skills

Backend design
Distributed systems
JavaScript/TypeScript (Node.js)
APIs
Data pipelines
Ownership mindset

Tools

Cloud infrastructure

Job description

Beacon AI in San Carlos, CA is seeking a Lead Backend Software Engineer to own the backend services powering our flight safety platform. You will design, build, and scale APIs, data pipelines, and distributed systems, balancing hands-on development with technical leadership across product teams.

The role emphasizes reliability, security, and performance in production, with collaboration across engineering, data, and operations.

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