Python Developer

Join our Core Team as a highly skilled Python Developer to build and scale our high-load Geospatial AI Data Platform. You will be the critical link, productionizing Data Science models and transforming massive volumes of raw imagery into meaningful, structured insights that power our client-facing product. If you're driven by complex, high-scale big data challenges, this is the role for you. 

Key Responsibilities: 
● Data Pipeline Development: Implement and optimize robust ETL data pipelines for collecting, cleaning, transforming, and loading large volumes of geospatial data. 
● API Development & Deployment: Design, build, and maintain high-speed, scalable RESTful APIs (using frameworks like FastAPI/Powertools for Lambda). 
● Model Integration & Productionization: Work closely with Data Scientists to containerize and deploy models (e.g. roof age prediction) into our Geospatial AI Data Platform. 
● Code Quality & Optimization: Write clean, efficient, testable, and reusable Python code. Optimize data processing and platform latency to handle requests and queries at massive scale and high volume. 
● System Architecture: Contribute to the design and implementation of our Microservices and Serverless architectures, ensuring high availability, security, scalability and observability. 
● Collaboration: Work within an Agile team alongside Data Scientists, DevOps, and Product Managers to translate business requirements into technical solutions.

Required Qualifications: 
● B.Sc. degree in Computer Science or a related technical field. 
● Demonstrable professional experience as a Python Developer with a focus on data-intensive backend systems (4+ years). 
● Expert knowledge of Python 3, follow PEP8. 
● Experience developing using OOP and SOLID principles. 
● Proven experience designing and developing production-ready APIs using a modern Python web framework such as FastAPI or Powertools for AWS Lambda. 
● Experience with AWS services such as S3, SQS, EC2, API GW, Lambda, DynamoDB, CloudFormation/SAM using boto3. 
● Experience with Docker/Kubernetes. 
● Experience with Linux, preferably Ubuntu. 
● Experience with SQL Databases (e.g. PostgreSQL) 
● Experience with version control (Git) and collaborative development workflows. 
● Good communication skills in English

Preferred/Bonus Qualifications: 
● Experience with geo-spatial libraries (e.g., Geopandas, GDAL, Shapely, Rasterio). 
● Familiarity with model serving technologies such as NVIDIA Triton Inference Server. 
● Experience with Workflow Management platforms such as Apache Airflow. 
● Experience with on-prem servers. 
● Knowledge of CI/CD pipelines (GitHub Actions) and DevOps best practices