Python React Developer with GIS experience

Developer
Remote
October 15, 2025
Full Time
Application ends: January 15, 2026

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Job Description

Roles And Responsibilities

  • Develop an observability application with GIS-enabled dashboards for emergency response and network analytics.
  • Define and implement data sources and ingestion pipelines for real-time and historical data.
  • Establish data governance policies and access controls to ensure secure and compliant data usage.
  • Integrate the application with existing analytics platforms and automation tools.
  • Validate the solution in lab and production environments, ensuring performance, reliability, and scalability.
  • Deliver comprehensive documentation and facilitate operational handover to the Customer’s teams.
  • Apply your knowledge of the telecommunications domain to understand system requirements and contribute to effective solutions.
  • Collaborate effectively with cross-functional teams, including network engineers, system administrators, and product managers.
  • Participate in code reviews to ensure code quality and adherence to best practices.
  • Troubleshoot and resolve technical issues in a timely manner.
  • Stay up-to-date with the latest technologies and trends in software development and the telecommunications industry.
  • Contribute to the continuous improvement of our development processes and tools.
  • Write clear and concise technical documentation.

Skills /Competencies8+ years of experience in the following areas:

GIS & Visualization

  • Experience with GIS platforms (e.g., ArcGIS, QGIS) and mapping libraries (e.g., Leaflet, Mapbox, OpenLayers).
  • Ability to build interactive geospatial dashboards for visualizing network events, alerts, and coverage.
  • Understanding of spatial data formats (GeoJSON, shapefiles) and coordinate systems.

Frontend Development (React)

  • Proficiency in React.js for building responsive, user-friendly interfaces.
  • Experience integrating GIS maps and real-time data visualizations into web applications.
  • Familiarity with state management (Redux, Context API) and component-based architecture.

Backend Development & Data Engineering (Python)

  • Strong skills in Python for backend services, data processing, and automation.
  • Experience building data ingestion pipelines using tools like Apache Kafka, Flask, or FastAPI.
  • Knowledge of RESTful APIs, data serialization, and ETL processes.

Integration & Automation

  • Ability to integrate with analytics platforms (e.g., ELK stack, Grafana) and automation tools (e.g., Ansible, Terraform).
  • Understanding of CI/CD pipelines, containerization (Docker/Kubernetes), and cloud deployment.

Educational Qualifications

  • Engineering Bachelors or master’s degree level or equivalent

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