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Beacon AIBeacon AISan Carlos, CA

Lead Backend Software Engineer

Lead the design, architecture, and scaling of backend services, APIs, and real-time data pipelines for a mission-critical AI flight safety platform. Requires 5+ years building production backend systems with Python/Node.js, strong ownership, and technical leadership in a hybrid onsite role.

185k – 260k/yr
Hybrid5+ YOEBackend Engineering

About the role

What You’ll Do

  • Architect, build, and maintain backend services and distributed systems that support mission-critical applications.
  • Design and implement secure, scalable APIs for internal and external integrations, including real-time data streaming and support for web and mobile clients.
  • Build and optimize data pipelines for efficient ingestion, processing, and access to time-series and multimedia data.
  • Own backend system reliability, performance, and scalability in production environments.
  • Lead technical design discussions and contribute to code reviews and architectural decisions.
  • Troubleshoot and resolve complex backend and cloud infrastructure issues to ensure high availability.
  • Take ownership of backend features or systems from concept through delivery, working closely with product and cross-functional partners.

What Will Make You Successful

  • 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).
  • Proven experience building, scaling, and operating backend infrastructure.
  • Strong ownership mindset, with experience driving end-to-end systems and features from design through deployment.
  • Ability to operate effectively in evolving environments while maintaining high standards for quality and reliability.
  • Experience building or working with data pipelines and backend systems handling large-scale or real-time data.

Bonus Points

  • Passion for aviation and a desire to improve air travel efficiency and safety.
  • Familiarity with machine learning workflows or data-intensive systems.
  • Experience working with big data tools or large-scale data processing frameworks.
  • Background in DevOps or DevSecOps, including automating infrastructure and improving system reliability and security.

Perks & Benefits (Full-Time Employees)

  • Healthcare: 100%* of employee medical premiums covered; 25% for dependents
  • Time Off: 3 weeks PTO plus 13+ paid company holidays
  • Stipends: Monthly phone and wellness benefits
  • 401(k): Offered (no current employer match, but we are committed to enhancing this benefit in the future).

Skills

PythonJavaScriptTypeScriptNode.jsAPIsDistributed SystemsData PipelinesReal-Time DataBig DataDevOpsDevSecOpsMachine Learning
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