Geospatial Application Developer

3 days ago

Surat, Gujarat, India beBeeDevops Full time ₹ 18,00,000 - ₹ 24,00,000

We are seeking a highly skilled Earth Engine Developer to join our team.

The ideal candidate will have a strong background in software development, with experience in building and deploying services on Amazon Web Services (AWS). They should be proficient in Python-based backend development and have a deep understanding of REST principles.

The successful candidate will be responsible for designing and constructing the entire cloud infrastructure using Infrastructure as Code (IaC) principles with the AWS CDK. They will also be expected to implement the core features of the interactive dashboard using React and Mapbox GL JS, focusing on the intuitive visualisation of complex geospatial heatmap data.

The key responsibilities of this role include:

  • Building and maintaining an automated pipeline to ingest and process raw satellite data from sources like the Registry of Open Data on AWS.
  • Developing a framework in Python to automate the machine learning lifecycle, including the training, validation, versioning, and storage of models for satellite image classification and thermal risk prediction.
  • Designing and building a low-latency REST API using AWS Lambda and API Gateway to serve real-time predictions from the AI models.

Required 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, in-depth experience designing, building, and deploying services on Amazon Web Services (AWS), with a strong command of Lambda, S3, API Gateway, and IAM.
  • A thorough understanding of REST principles and proven experience in designing and building APIs from scratch.
  • Proficiency in containerising applications using Docker.
  • Demonstrated ability to independently solve complex, open-ended 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.
  • Previous experience in an early-stage start-up, demonstrating the ability to build a product from version 0 to 1.

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