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Job Location:Washington,DC (Onsite)Job Overview:- 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.
Skills/Experience Required:- Minimum 8 years of professional Python development experience delivering secure, scalable, and production-quality backend applications or calculation services.
- Strong proficiency in moder 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, structured error responses, and OpenAPI documentation.
- Strong knowledge of SQL and PostgreSQL, including data modelling, queries, functions, indexing, transaction management, and performance optimization.
- Proven ability to identify opportunities for engineering automation and productivity improvements using AI, Generative AI, intelligent agents, scripting, and developer tooling; experience delivering practical solutions that reduce manual effort, improve code quality, accelerate testing, and enhance team effectiveness.
- Experience with Pydantic, PyTest, importlib, caching, configuration management, and development of 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, continuous integration and deployment pipelines, secrets management, logging, monitoring, and application support.
- Strong understanding of secure software development, data protection, auditability, resilience, performance, and production support practices.
- Working knowledge of building science, energy and water efficiency, materials, embodied carbon, cost calculations, or sustainability standards is preferred.
- Ability to collaborate with product owners, architects, building science specialists, quality assurance teams, user experience teams, DevOps teams, and business stakeholders.
- Excellent analytical, documentation, communication, and problem-solving skills, with experience working in Agile and multicultural delivery teams across time zones.
