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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Python Senior Technical Lead - DevOps - **Company:** HCL America, Inc. - **Location:** United States - **Experience:** Expert - **Salary:** $100,000.0 - $148,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Audit Trail, Microsoft Azure, Configuration Management, Software Quality, Code Review, Continuous Integration, Data Dictionary, Database Queries, DevOps, Programming Tools, Excel Formulas, Github, Python (Programming Language), Key Management, PostgreSQL, Object-Oriented Software Development, Performance Tuning, Release Management, Standard Sql, Software Engineering, SQL Databases, System Integration Testing, Management of Software Versions, Openapi, Data Logging, Scripting, Delivery Pipeline, Caching, Generative AI, Indexer, Backend, Fastapi, Pytest, Containerization, Virtual Agents, Software Coding, Restful APIs, Api Management - **Published:** October 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b0922ae7077a7599 ## About the Role * 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 ## Description * 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