Python Full Stack Engineer - Professional

HEXAWARE•United States,

2h•Onsite

About The Position

Hexaware is seeking a Python Full Stack Engineer to design, develop, enhance, and support modular Python services and REST APIs for the EDGE V4 Calculation Engine. The role involves implementing validated building-science formulas, rules, assumptions, and dependency flows as accurate, maintainable, and testable software. Calculation capabilities include energy, water, materials, embodied carbon, baseline standards, scenario simulation, explainability, anomaly management, and cost functions, according to product priorities. The engineer will build reusable calculation libraries, data models, validation rules, configuration services, and version-controlled datasets using Python, FastAPI, Pydantic, SQL, and PostgreSQL or approved equivalents. The position integrates services with the EDGE V4 application through defined API contracts, secure authentication, and reliable error handling, while optimizing performance, database queries, caching, asynchronous processing, and scalability. The role also includes automated testing, documentation, production-grade logging and monitoring, and operational support. The engineer will contribute to design, code reviews, backlog refinement, sprint ceremonies, release planning, deployment, defect resolution, and post-deployment support. The position is based onsite in Washington, D.C. five days per week.

Requirements

At least 8 years of professional Python development experience delivering secure, scalable, 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, including request validation, API versioning, authentication, structured error responses, and OpenAPI documentation.
Strong knowledge of SQL and PostgreSQL, including data modeling, queries, functions, indexing, transaction management, and performance optimization.
Ability to identify engineering automation and productivity opportunities using AI, Generative AI, intelligent agents, scripting, and developer tooling, and to deliver practical improvements that reduce manual effort, improve code quality, accelerate testing, and enhance team effectiveness.
Experience with Pydantic, PyTest, importlib, caching, configuration management, and reusable Python utilities and packages.
Experience translating complex formulas, business rules, dependency graphs, or scientific models into deterministic, traceable, and testable software components.
Experience designing automated unit, integration, regression, and API tests, with disciplined defect analysis and test evidence.
Experience with Microsoft Azure services, App Service or approved container platforms, Azure DevOps, CI/CD pipelines, secrets management, logging, monitoring, and application support.
Strong understanding of secure software development, data protection, auditability, resilience, performance, and production support practices.
Ability to collaborate with product owners, architects, building-science specialists, quality assurance, user experience, DevOps, and business stakeholders.
Excellent analytical, documentation, communication, and problem-solving skills, including experience working in Agile and multicultural delivery teams across time zones.

Nice To Haves

Working knowledge of building science, energy and water efficiency, materials, embodied carbon, cost calculations, or sustainability standards.

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 equivalents.
Integrate calculation services with the EDGE V4 application using 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 calculations.
Create and maintain automated unit, integration, regression, and API tests; 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.