Node.js Engineer (Maps/GIS)

We are looking for a Node.js Engineer to help build and evolve the backend of the GEM platform.

You will work on APIs, data processing pipelines, geospatial services, and performance-critical backend logic that powers complex map-based applications. You’ll collaborate closely with frontend engineers, GIS specialists, and product stakeholders to deliver scalable, reliable functionality for real-world geospatial use cases.

This role is ideal for someone who enjoys backend problem-solving, working with large datasets, and building clean, maintainable services that support rich frontend experiences.

Backend & Data Responsibilities

• Build and maintain backend services using Node.js and TypeScript
• Design and implement APIs consumed by map-centric frontend applications
• Handle data aggregation, filtering, and transformation for geospatial use cases
• Work with spatial data stored in databases (e.g. PostGIS — experience or willingness to learn)
• Optimize backend performance for large payloads and high-load scenarios
• Integrate external services and data sources where required

Architecture & Quality

• Contribute to a scalable backend architecture for a multi-tenant SaaS platform
• Write clean, readable, and maintainable code with proper error handling
• Add and maintain unit/integration tests for critical backend logic
• Participate in code reviews and technical discussions
• Collaborate closely with frontend engineers to align API contracts and data models

• 3–5 years of professional backend development experience
• Strong knowledge of Node.js (TypeScript preferred)
• Experience building RESTful APIs (GraphQL is a plus)
• Solid understanding of backend architecture and data flow
• Hands-on experience with SQL databases (PostgreSQL preferred)
• Familiarity with modern backend testing practices

Will be a plus:

• Basic understanding of geospatial concepts:• Coordinates, projections (at a conceptual level)
  • GeoJSON and spatial data formats
  • Vector vs raster data (high-level understanding)
• Experience working with large datasets or data-intensive systems

• 20 working days of paid vacation per year;
• Official holidays of Ukraine – days off;
• Modern equipment for work;
• Corporate events;
• External and internal training: conferences, professional events, courses, TechTalks;
• English speaking club.

• HR interview
• Internal Technical Interview