Senior/Staff Software Development Engineer, EV Platform

Role Description

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. This includes:

• The ingestion pipeline that processes data from a global network of charge point operators and data aggregators.
• The quality systems that keep that data accurate.
• The APIs that serve it to customers and internal teams.

Projects you might take part in:

• 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.

In this role, you will be expected to:

• 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.

Qualifications

• 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.
• Hands-on experience in service monitoring, incident triage, and continuous product improvement.
• Familiarity with Argo and Datadog is a plus.
• 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, including implementation of automated tests.
• Ability to thoughtfully integrate AI into design, development, and decision-making.

What We Value

• High-performing creative individuals who dig into problems and opportunities.
• Individuals being their whole selves at work, supported by healthcare, parental leave, and flexibility.
• An environment of teaching and learning to equip employees with the tools needed to be successful.
• The value of growing a diverse team and encouraging people of all backgrounds to apply.