Cloud-Based Geospatial Platform Developer

2 days ago

Lucknow, Uttar Pradesh, India beBeeGeospatial Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Senior Geospatial Software Developer

We are seeking a highly skilled Senior Geospatial Software Developer to lead the development of our cloud-based geospatial platform. The ideal candidate will have extensive experience in designing, building, and deploying scalable and secure services on AWS.

The successful candidate will be responsible for developing a range of features including data ingestion and processing pipelines, AI model training and integration frameworks, real-time prediction APIs, and frontend core feature implementations using React and Mapbox GL JS.

To be successful in this role, you will need to have a strong understanding of REST principles, containerisation using Docker, and proficiency in Python-based backend development or React-based frontend development.

Key Responsibilities:

  • Design and develop an automated pipeline to ingest and process raw satellite data from sources like Registry of Open Data on AWS, storing the results in a data lake built on Amazon S3.
  • Develop a framework in Python to automate the machine learning lifecycle, including training, validation, versioning, and storage of models for satellite image classification and thermal risk prediction using libraries like XGBoost.
  • Integrate the UTCI calculation logic using the pythermalcomfort library.
  • Design and build a low-latency REST API using AWS Lambda and API Gateway to serve real-time predictions from the AI models.
  • Implement the core features of the interactive dashboard using React and Mapbox GL JS, focusing on the intuitive visualisation of complex geospatial heatmap data.

Qualifications:

  • A minimum of 3 years of professional software development experience.
  • Deep expertise in either Python-based backend development or React-based frontend development.
  • Essential experience designing, building, and deploying services on Amazon Web Services (AWS), with a strong command of Lambda, S3, API Gateway, and IAM.
  • 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.
  • Previous experience in an early-stage start-up, demonstrating the ability to build a product from version 0 to 1.

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