Senior/Staff Software Development Engineer, EV Platform

The EV Platform team powers the charging infrastructure data layer behind Mapbox's electric vehicle products. Our services aggregate and process real-time and static EV charging station data from charge point operators around the world, making it reliable, accurate, and fresh for the automotive and mobility customers who depend on it in production. The team owns the full data lifecycle, from integrating new data sources to ensuring the operational health of the systems delivering that data at scale. As a Senior Backend Engineer on the EV Platform team, you will be working on the data infrastructure that powers Mapbox's global EV charging station coverage.

Responsibilities

Working on the data infrastructure that powers Mapbox's global EV charging station coverage, including ingestion pipeline, quality systems, and APIs; Expanding global EV charging coverage by integrating with new charge point operators across new regions; Building systems that reconcile and unify charging station data across multiple providers into a single authoritative dataset; Building and scaling the data ingestion pipeline for higher reliability and throughput; Designing data validation and quality systems to ensure accuracy of charging station attributes and live availability; Developing internal tooling and dashboards to monitor data health and surface corrections; Supporting downstream Mapbox teams consuming EV charging data in their products; Design and implement scalable data pipelines and backend services, following best practices for deployment, resilience, and observability; Run and design experiments to evaluate the quality, accuracy, and coverage of EV charging data; Participate in end-to-end feature implementation within the larger Mapbox ecosystem; review code and design documents, shepherd feature releases, and participate in an on-call rotation; Work with product owners, partner teams, and management to drive future data platform direction

Requirements

Strong proficiency in Rust (3+ years) for production backend services; Experience building highly available backend services and data pipelines in container-based environments on AWS, including Docker, ECS, Fargate, or Kubernetes, with hands-on experience in service monitoring, incident triage, and continuous product improvement; Knowledge of data engineering concepts, including pipeline design, data quality validation, and large-scale data processing; Knowledge of distributed systems (fault-tolerance, consistency, service discovery). System architecture experience and understanding of architectural concepts. Ability to improve services based on data analysis and performance profiling; Being an excellent team player with the ability to work within a collaborative environment; Enthusiasm for learning and knowledge sharing, supported by strong communication skills in English; Passion about programming and a strong focus on quality. Implementation of automated tests.

Nice to have

Familiarity with Argo; Familiarity with Datadog

Benefits

Supportive health care; Parental leave; Flexibility for the things that come up in life; Environment of teaching and learning