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12:57 27.05.2022

Senior Backend Engineer (Node.js), Logistics API
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wedesigners.work ✎
МэпДэйта Компания
Нижний Новгород

Mapbox Minsk R&D center (OOO MapData) enables navigation for people, packages and vehicles. Our underlying maps represent the ever-evolving world, accessing, aggregating, and adapting anonymous data from millions of sensors and phones in real-time.


The Logistics team creates solutions to challenges in the delivery space. We solve complex geospatial data problems and leverage algorithms and statistical analysis for use cases ranging from turn-by-turn navigation to delivery route planning.

What You’ll Do

As a Senior Backend Engineer, you will be responsible for designing, developing, and operating significant areas of our routing services. In this role, you can expect to:

  • Design and implement scalable and reliable services for our API and routing engine tiers, following best practices for deployment, resilience, and observability.

  • Run and design experiments to evaluate the quality, reliability, and capacity requirements of our user-facing navigation products.

  • Participate in end-to-end feature implementation within the larger navigation team; review code and design documents, shepherd feature releases, and participate in an on-call rotation.

  • Work with product owners, sales engineering, and management to drive future product direction.

Logistics API services interact with many internal systems at Mapbox, making this a high-visibility team with great opportunities to collaborate across the Company.

What We Believe are Important Traits for This Role

  • Experience engineering web services - our primary tech is Node.js v14; it would be good to have an experience in Python, Rust, or Java.

  • Experience building highly-available API services within container-based environments (e.g., Docker, ECS, Kubernetes, etc. on AWS). Proficiency implementing monitoring instrumentation, triaging incidents, resolving customer issues, and continuous product improvement.

  • Knowledge of operating systems and distributed systems architecture (e.g., fault-tolerance, consistency, service discovery, etc).

  • Experience or interest in solving geospatial problems.

Candidates should also have:

  • A desire to work with individuals with diverse backgrounds, perspectives, and experiences.

  • Enthusiasm for learning and knowledge sharing in a multidisciplinary environment, supported by mentorship experience and strong written and verbal communication skills.

  • A rigorous approach to problem solving, using experiments and data analysis to drive quality of service improvements.

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