Senior Geospatial Software Developer

3 days ago

Ghaziabad, Uttar Pradesh, India beBeeGeospatial Full time ₹ 1,50,00,000 - ₹ 2,30,00,000

We are seeking a skilled Senior Geospatial Software Developer to join our team. In this role, you will design and implement advanced geospatial software applications using Python and AWS.

**Key Responsibilities:

  • Data Ingestion and Processing Pipeline: Design and develop an automated data pipeline to ingest satellite data from sources like the Registry of Open Data on AWS and store the results in an Amazon S3 data lake.
  • AI Model Training & Integration Framework: Develop a framework to automate machine learning lifecycle, including training, validation, versioning, and storage of models for satellite image classification and thermal risk prediction using XGBoost.
  • Real-time Prediction API: Design and build a low-latency REST API using AWS Lambda and API Gateway to serve real-time predictions from AI models.
  • Frontend Core Feature Implementation: Implement core features of an interactive dashboard using React and Mapbox GL JS, focusing on intuitive visualization of complex geospatial heatmap data.
  • Cloud Infrastructure: Design and construct cloud infrastructure using Infrastructure as Code (IaC) principles with AWS CDK, ensuring platform security, cost-effectiveness, and scalability.

**Required Skills and Qualifications:**

  • A minimum of 3 years of professional software development experience
  • Deep expertise in either Python-based backend development or React-based frontend development
  • In-depth experience designing, building, and deploying services on Amazon Web Services (AWS)
  • A thorough understanding of REST principles and proven experience in designing and building APIs from scratch
  • Proficiency in containerizing applications using Docker
  • Demonstrated ability to independently solve complex technical challenges
  • Strong communication skills to articulate technical decisions and collaborate with the team

**Preferred Qualifications:**

  • Experience building complex, interactive mapping and data visualisation services with Mapbox GL JS or similar libraries
  • Experience with GIS data processing using libraries like GeoPandas and Rasterio, or familiarity with Google Earth Engine
  • Experience with ML model serving (MLOps) using frameworks like XGBoost and Scikit-learn
  • Proven experience with Infrastructure as Code (IaC) tools such as AWS CDK or Terraform

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