Python Senior Technical Lead - DevOps

• 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

• Minimum 5 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, 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., * Minimum 5 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, 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.

Must Have Skill

Devops,Github,Python