About the Role
We are seeking a Senior Python Developer to design, build, and support the modular services and REST APIs behind the EDGE V4 Calculation Engine. You will turn validated building science formulas, rules, and assumptions into accurate, maintainable, and testable Python components that serve global, high-volume use.
Key Responsibilities
Calculation Services and APIs
- 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.
Architecture and Data
- 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.
Quality and Testing
- Create and maintain automated unit, integration, regression, and API tests using PyTest (or approved equivalent frameworks).
- Support system integration testing and user acceptance testing.
Operations and Documentation
- Implement production-grade logging, monitoring, auditability, exception handling, retries, configuration management, and operational support procedures.
- Maintain technical documentation, API specifications, calculation traceability, data dictionaries, setup guides, deployment notes, and support runbooks.
Team Collaboration
- Participate in solution design, code reviews, backlog refinement, sprint ceremonies, release planning, deployment, defect resolution, and post-deployment support.
Required Qualifications
- Minimum 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 with 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.
- Proven ability to identify opportunities for engineering automation and productivity gains using AI, Generative AI, intelligent agents, scripting, and developer tooling, with 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.
Preferred Qualifications
- 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.
- Working knowledge of building science, energy and water efficiency, materials, embodied carbon, cost calculations, or sustainability standards.
- Ability to collaborate with product owners, architects, building science specialists, QA teams, UX 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.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
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