Senior Python Engineer

About the job

Job Summary

Minimum 8 years of professional Python development experience delivering secure scalable and production quality backend applications or calculation services.

Strong proficiency in modern Python object oriented design modular architecture reusable libraries type validation dependency management and coding standards such as PEP 8.

Hands on experience developing REST APIs using FastAPI or an approved equivalent framework including request validation API versioning authentication

Responsibilities

Design develop enhance and support modular Python services and REST APIs for the EDGE V4 Calculation Engine.

Translate validated building science formulas rules assumptions and dependency flows into accurate maintainable and testable Python components.

Develop and integrate calculation capabilities for energy water materials embodied carbon baseline standards scenario simulation explainability anomaly management and cost related functions as prioritized by the product backlog.

Build reusable calculation libraries data models validation rules configuration services and version controlled datasets using Python FastAPI Pydantic SQL and PostgreSQL or approved equivalent technologies.

Integrate calculation services with the EDGE V4 application through well defined API contracts structured inputs and outputs secure authentication and reliable error handling.

Optimize calculation performance database queries caching asynchronous processing and service scalability for global usage and high volume calculation scenarios.

Create and maintain automated unit integration regression and API tests using PyTest or approved equivalent frameworks support system integration testing and user acceptance testing.

Maintain technical documentation API specifications calculation traceability data dictionaries setup guides deployment notes and support runbooks.

Participate in solution design code reviews backlog refinement sprint ceremonies release planning deployment defect resolution and post deployment support.

Implement production grade logging monitoring auditability exception handling retries configuration management and operational support procedures.