Prior experience in the mapping, navigation, or automotive industry
Knowledge of machine learning techniques for geospatial data analysis
Contributions to open-source geospatial or data analysis projects
What We Value
In addition to our core values, which are not unique to this position and are necessary for Mapbox leaders
We value high-performing creative individuals who dig into problems and opportunities
We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people
We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
7+ years of experience in engineering web services in either Rust or Typescript (Node.js)
Experience building highly-available API services within container-based environments (e.g., Docker, ECS, Kubernetes, etc. on AWS)
Proficiency in implementing monitoring instrumentation, triaging incidents, resolving customer issues, and continuous product improvement
Knowledge of operating systems and distributed systems (e.g., fault-tolerance, consistency, service discovery, etc.)
Proven ability to design long-term technical strategies that balance immediate product delivery with the reduction of systemic technical debt across multiple departments
Extensive experience driving high-visibility initiatives that improve engineering standards and operational excellence for the cross-functional teams
Experience or interest in solving geo-spatial problems
Strong analytical thinking and the ability to justify technical decisions using system telemetry and data
Meticulous attention to detail and a creative, resourceful approach to problem-solving
Excellent communication skills, with a proven ability to collaborate effectively across cross-functional engineering, product, and data teams