Intellias

full stack developer for location services analytics

In short

Senior full-stack (React + Node.js) role building an Analytics Portal SaaS platform for Location Services APIs, working on map-based UI, dashboards, and backend integrations with ArcGIS Enterprise. Requires 7+ years of JavaScript, hands-on AWS experience, and active daily use of AI coding agents and LLM APIs to build AI-assisted UI features. English B2+ is needed for client communication. The team works fully remotely with a delivery-partner setup (Intellias) collaborating closely with backend, BA/PM, and DevOps roles.

Описание
Intellias is a delivery partner helping build the Analytics Portal, a SaaS platform that provides organizations using Location Services APIs with self-service consumption intelligence. The portal supports actionable analytics for spend optimization, consumption governance, and growth.
Задачи
•Implement and maintain React frontend components for map-based UI, dashboards, and data visualizations
•Build Node.js backend services, including API layers and integrations with data APIs and ArcGIS Enterprise
•Collaborate with the Principal Backend Engineer on architecture decisions and data contracts
•Participate in requirements clarification with the BA/AI PM and translate specifications into technical solutions
•Contribute to code reviews and maintain code quality standards
•Work with DevOps on AWS deployment pipelines and environment configuration
•Raise technical risks and blockers early
Требования
•7+ Years of overall JavaScript experience
•Proficiency in React and Node.js
•Hands-on AWS experience with EC2/ECS, S3, Lambda, or similar services
•Confident daily use of TypeScript
•Ability to write SQL queries independently for data verification and debugging
•Experience consuming third-party geospatial or data APIs
•Hands-on daily experience with AI coding agents such as Cursor, Claude Code, GitHub Copilot, Codex, or similar
•Hands-on experience with at least one LLM provider API, including direct work with endpoints, parameters, and structured outputs
•Experience building chat or AI-assisted UIs with streaming responses, message history management, and LLM-specific loading and error states
•English B2+ for client calls and asynchronous written communication
•The team expects active use of AI assistants for coding, debugging, code review, and documentation
•Ability to review, validate, and take ownership of AI-generated code
•Proactive learning of new AI tooling
Nice to have: geospatial data processing, map rendering, ArcGIS REST APIs or similar GIS platforms, RAG pipeline integration from the frontend, MCP, agentic UI patterns, spec-driven development, public sector or traffic/mobility domain background, experience working from UI prototypes to production code.
Условия
•Benefits supporting employee well-being and professional growth
•Equal opportunity employer committed to equity, diversity, and inclusion

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