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Mapbox

Software Development Engineer III, Search API (Places)

Mapbox US$194.7k–$263.4kfulltimemidAdded today

About this role

Mapbox seeks a Staff Software Engineer to design and operate the Search Box platform's geospatial search engine and new Places API. You'll architect high-performance services, mentor engineers, drive technical strategy, and collaborate with automotive OEMs and customers globally to deliver reliable location data for navigation systems.

What you'll do

  • Architect and optimize API services with emphasis on performance, deployment, durability, and observability
  • Establish code quality standards and refine development workflows across the organization
  • Drive long-term technical architecture decisions and scalability strategies
  • Mentor engineering team members and cultivate a culture of continuous learning
  • Design quality metrics, analytics systems, and experiments to evaluate product reliability and capacity
  • Participate in end-to-end feature implementation, code reviews, design documents, and on-call rotation

What they're looking for

  • Rust or TypeScript/Node.js web services (7+ years)
  • Container orchestration (Docker, Kubernetes, ECS, AWS)
  • Distributed systems and operating systems knowledge
  • API design and high-availability services
  • Monitoring, incident response, and observability
  • Geospatial problem-solving
  • Technical strategy and architectural thinking
  • Cross-functional collaboration and communication
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Mapbox

Mapbox builds geospatial data infrastructure and location-based services including search, geocoding, offline navigation, and traffic systems that power real-time location experiences across mobile and automotive platforms. The company is hiring Software Development Engineers II and data engineers to build large-scale ETL pipelines, optimize search algorithms, develop navigation services, and create reliable web infrastructure while leveraging AI technologies.

Website
mapbox.com
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Likely interview questions

  • Tell us about your experience building highly-available API services at scale—how did you approach reliability and performance optimization?
  • Describe a time you designed a long-term technical strategy that balanced immediate delivery with reducing technical debt across teams.
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