Backend Software Engineer at Beacon AI
San Carlos, California, USA -
Full Time


Start Date

Immediate

Expiry Date

24 Nov, 25

Salary

0.0

Posted On

24 Aug, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

ABOUT BEACON AI

We’re a fast-moving team of aviators, engineers, and operators on a mission to transform aviation with an AI platform that makes flying safer, more efficient, and more capable. Backed by top investors and having already secured a dozen Department of Defense contracts and worked with three major airlines, we’re flying through barriers and working on a mission that matters.
At Beacon AI, there are no silos or layers of overhead. Small, focused teams own what they build, ship fast, and learn even faster. Every line of code, data pipeline, or system we design pushes the boundaries of how humans and AI work together in the cockpit and beyond. If you thrive at the intersection of hard-tech ambition and mission urgency, you’ll build faster here than anywhere else.

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Responsibilities

ROLE OVERVIEW

We’re looking for a Backend Engineer to help design, build, and maintain our backend systems. You’ll contribute to the development of serverless cloud infrastructure, support real-time data processing, and collaborate closely with engineers and product teammates. This is a great role for someone who thrives in a fast-paced, product-driven environment and wants to build meaningful technology from the ground up.

KEY RESPONSIBILITIES

  • Backend Development: Contribute to the development and maintenance of scalable backend services with an emphasis on performance, reliability, and testability.
  • API Design: Help design and implement APIs that support internal tools and external applications, including real-time data streaming from aircraft systems.
  • Database Management: Collaborate on the development of database schemas and queries to support application functionality and data integrity.
  • Data Pipelines: Support the buildout of data pipelines that process and store aircraft data efficiently and reliably.
  • Monitoring & Debugging: Assist with diagnosing production issues, improving observability, and supporting system uptime.
  • Performance Tuning: Contribute to optimizing backend performance, particularly for systems working with time series or streaming data.
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