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.
● Hands-on experience with C# / .NET for backend development (APIs or services in
production).
● 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.