Experience and knowledge within the navigation domain
Experience with Amazon Elasticache
Experience with SQL
Experience with Big Data/ML
Experience with various security standards and associated technical knowledge
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
Our annual base compensation for this role ranges from $160,650 - $217,350 for most US locations and 5% to 10% higher for US locations with a higher cost of labor. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Please discuss your specific work location with your recruiter for more information
We are committed to a fair and equitable hiring process. We do not discriminate against any protected class
5+ years of experience building scalable high volume low latency backend services
Experience with modern programming languages (Python, Rust, Typescript, Java, Go, C++)
Proficiency with cloud services (preferably AWS) in implementing monitoring instrumentation, operational diagnostics, resolving customer issues, and continuous product improvement
Experience integrating AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow
Familiarity with code versioning tools, such as GitHub
Ability to engage, learn and contribute quickly to the initiatives
Able to perform independently all the development tasks, based on designs and specs
Self-starter who is communication and outcomes-oriented
An empirical analytical approach. You develop strong hypotheses, conduct spikes, and clearly communicate your findings
A desire to share your expertise through documentation, mentorship, pairing and both written and verbal discussion
A desire to work with individuals with diverse backgrounds, perspectives, and experiences
High quality mindset — write unit tests, proactively remedy defects and follow through to production