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Senior Geospatial Software Engineer
3 weeks ago
We are seeking a skilled Senior Geospatial Software Engineer to lead the development of our geospatial data processing and analytics platform.
The successful candidate will have extensive experience in designing, building, and deploying services on Amazon Web Services (AWS), with a strong command of Lambda, S3, API Gateway, and IAM.
A deep understanding of REST principles and proven experience in designing and building APIs from scratch is also essential.
Additionally, expertise in either Python-based backend development or React-based frontend development is required.
The ideal candidate will have a minimum of 3 years of professional software development experience and be proficient in containerising applications using Docker.
Key Responsibilities
1. Data Ingestion and Processing Pipeline: Design and implement an automated pipeline to ingest and process raw satellite data from sources like the Registry of Open Data on AWS, storing the results in a data lake built on Amazon S3.
2. AI Model Training & Integration Framework: Develop a framework in Python to automate the machine learning lifecycle, including the training, validation, versioning, and storage of models for satellite image classification (Segmentation) and thermal risk prediction.
3. Real-time Prediction API: Design and build a low-latency REST API using AWS Lambda and API Gateway to serve real-time predictions from the AI models.
4. Frontend Core Feature Implementation: Implement the core features of the interactive dashboard using React and Mapbox GL JS, focusing on the intuitive visualisation of complex geospatial heatmap data.
5. Cloud Infrastructure: Design and construct the entire cloud infrastructure using Infrastructure as Code (IaC) principles with the AWS CDK, ensuring the platform is secure, cost-effective, and scalable.
Benefits
This role offers the opportunity to work on cutting-edge technology and contribute to the development of a innovative geospatial data processing and analytics platform.
You will be working closely with a talented team of engineers and researchers to design, build, and deploy the platform.
The company offers a dynamic and supportive work environment, with opportunities for growth and professional development.
Others
The successful candidate will have demonstrated ability to independently solve complex technical challenges and possess strong communication skills to articulate technical decisions and collaborate with the team.
Familiarity with GIS data processing using libraries like GeoPandas and Rasterio, or Google Earth Engine, is a plus.
Experience with ML model serving (MLOps) using frameworks like XGBoost and Scikit-learn is also desirable.
Prior experience in an early-stage start-up is highly valued, demonstrating the ability to build a product from version 0 to 1.
