{"schemaVersion":"jobsearcher.job.v1","id":"25944a9c10002055e81456e8","url":"https://jobsearcher.com/jobs/25944a9c10002055e81456e8","canonicalUrl":"https://jobsearcher.com/jobs/25944a9c10002055e81456e8","title":"Python Senior Technical Lead - DevOps","description":"Job Summary\n\nSkills/Experience\n\nMinimum 8 years of professional Python development experience delivering secure, scalable, and production-quality backend applications or calculation services.\nStrong proficiency in moder Python, object-oriented design, modular architecture, reusable libraries, type validation, dependency management, and coding standards such as PEP 8.\nHands-on experience developing REST APIs using FastAPI or an approved equivalent framework, including request validation, API versioning, authentication, structured error responses, and OpenAPI documentation.\nStrong knowledge of SQL and PostgreSQL, including data modelling, queries, functions, indexing, transaction management, and performance optimization.\nProven 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.\nExperience with Pydantic, PyTest, importlib, caching, configuration management, and development of reusable Python utilities and packages.\nExperience translating complex formulas, business rules, dependency graphs, or scientific models into deterministic, traceable, and testable software components.\nExperience designing automated unit, integration, regression, and API tests, with disciplined defect analysis and test evidence.\nExperience with Microsoft Azure services, App Service or approved container platforms, Azure DevOps, continuous integration and deployment pipelines, secrets management, logging, monitoring, and application support.\nStrong understanding of secure software development, data protection, auditability, resilience, performance, and production support practices.\nWorking knowledge of building science, energy and water efficiency, materials, embodied carbon, cost calculations, or sustainability standards is preferred.\nAbility to collaborate with product owners, architects, building science specialists, quality assurance teams, user experience teams, DevOps teams, and business stakeholders.\nExcellent analytical, documentation, communication, and problem-solving skills, with experience working in Agile and multicultural delivery teams across time zones.\nKey Responsibilities\n\nSkill/Experience\n\nMinimum 8 years of professional Python development experience delivering secure, scalable, and production-quality backend applications or calculation services.\nStrong proficiency in moder Python, object-oriented design, modular architecture, reusable libraries, type validation, dependency management, and coding standards such as PEP 8.\nHands-on experience developing REST APIs using FastAPI or an approved equivalent framework, including request validation, API versioning, authentication, structured error responses, and OpenAPI documentation.\nStrong knowledge of SQL and PostgreSQL, including data modelling, queries, functions, indexing, transaction management, and performance optimization.\nProven 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.\nExperience with Pydantic, PyTest, importlib, caching, configuration management, and development of reusable Python utilities and packages.\nExperience translating complex formulas, business rules, dependency graphs, or scientific models into deterministic, traceable, and testable software components.\nExperience designing automated unit, integration, regression, and API tests, with disciplined defect analysis and test evidence.\nExperience with Microsoft Azure services, App Service or approved container platforms, Azure DevOps, continuous integration and deployment pipelines, secrets management, logging, monitoring, and application support.\nStrong understanding of secure software development, data protection, auditability, resilience, performance, and production support practices.\nWorking knowledge of building science, energy and water efficiency, materials, embodied carbon, cost calculations, or sustainability standards is preferred.\nAbility to collaborate with product owners, architects, building science specialists, quality assurance teams, user experience teams, DevOps teams, and business stakeholders.\nExcellent analytical, documentation, communication, and problem-solving skills, with experience working in Agile and multicultural delivery teams across time zones.\nSkill Requirements\n\nSkills/Experience\n\nMinimum 8 years of professional Python development experience delivering secure, scalable, and production-quality backend applications or calculation services.\nStrong proficiency in moder Python, object-oriented design, modular architecture, reusable libraries, type validation, dependency management, and coding standards such as PEP 8.\nHands-on experience developing REST APIs using FastAPI or an approved equivalent framework, including request validation, API versioning, authentication, structured error responses, and OpenAPI documentation.\nStrong knowledge of SQL and PostgreSQL, including data modelling, queries, functions, indexing, transaction management, and performance optimization.\nProven 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.\nExperience with Pydantic, PyTest, importlib, caching, configuration management, and development of reusable Python utilities and packages.\nExperience translating complex formulas, business rules, dependency graphs, or scientific models into deterministic, traceable, and testable software components.\nExperience designing automated unit, integration, regression, and API tests, with disciplined defect analysis and test evidence.\nExperience with Microsoft Azure services, App Service or approved container platforms, Azure DevOps, continuous integration and deployment pipelines, secrets management, logging, monitoring, and application support.\nStrong understanding of secure software development, data protection, auditability, resilience, performance, and production support practices.\nWorking knowledge of building science, energy and water efficiency, materials, embodied carbon, cost calculations, or sustainability standards is preferred.\nAbility to collaborate with product owners, architects, building science specialists, quality assurance teams, user experience teams, DevOps teams, and business stakeholders.\nExcellent analytical, documentation, communication, and problem-solving skills, with experience working in Agile and multicultural delivery teams across time zones.\nMust Have Skill\nDevops,Github,Python\nGood to Have Skill\nOther Requirements","company":"Hcltech2","rawCompany":"hcltech2","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-11-08T09:45:22.063Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python Senior Technical Lead - DevOps","description":"Job Summary\n\nSkills/Experience\n\nMinimum 8 years of professional Python development experience delivering secure, scalable, and production-quality backend applications or calculation services.\nStrong proficiency in moder Python, object-oriented design, modular architecture, reusable libraries, type validation, dependency management, and coding standards such as PEP 8.\nHands-on experience developing REST APIs using FastAPI or an approved equivalent framework, including request validation, API versioning, authentication, structured error responses, and OpenAPI documentation.\nStrong knowledge of SQL and PostgreSQL, including data modelling, queries, functions, indexing, transaction management, and performance optimization.\nProven 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.\nExperience with Pydantic, PyTest, importlib, caching, configuration management, and development of reusable Python utilities and packages.\nExperience translating complex formulas, business rules, dependency graphs, or scientific models into deterministic, traceable, and testable software components.\nExperience designing automated unit, integration, regression, and API tests, with disciplined defect analysis and test evidence.\nExperience with Microsoft Azure services, App Service or approved container platforms, Azure DevOps, continuous integration and deployment pipelines, secrets management, logging, monitoring, and application support.\nStrong understanding of secure software development, data protection, auditability, resilience, performance, and production support practices.\nWorking knowledge of building science, energy and water efficiency, materials, embodied carbon, cost calculations, or sustainability standards is preferred.\nAbility to collaborate with product owners, architects, building science specialists, quality assurance teams, user experience teams, DevOps teams, and business stakeholders.\nExcellent analytical, documentation, communication, and problem-solving skills, with experience working in Agile and multicultural delivery teams across time zones.\nKey Responsibilities\n\nSkill/Experience\n\nMinimum 8 years of professional Python development experience delivering secure, scalable, and production-quality backend applications or calculation services.\nStrong proficiency in moder Python, object-oriented design, modular architecture, reusable libraries, type validation, dependency management, and coding standards such as PEP 8.\nHands-on experience developing REST APIs using FastAPI or an approved equivalent framework, including request validation, API versioning, authentication, structured error responses, and OpenAPI documentation.\nStrong knowledge of SQL and PostgreSQL, including data modelling, queries, functions, indexing, transaction management, and performance optimization.\nProven 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.\nExperience with Pydantic, PyTest, importlib, caching, configuration management, and development of reusable Python utilities and packages.\nExperience translating complex formulas, business rules, dependency graphs, or scientific models into deterministic, traceable, and testable software components.\nExperience designing automated unit, integration, regression, and API tests, with disciplined defect analysis and test evidence.\nExperience with Microsoft Azure services, App Service or approved container platforms, Azure DevOps, continuous integration and deployment pipelines, secrets management, logging, monitoring, and application support.\nStrong understanding of secure software development, data protection, auditability, resilience, performance, and production support practices.\nWorking knowledge of building science, energy and water efficiency, materials, embodied carbon, cost calculations, or sustainability standards is preferred.\nAbility to collaborate with product owners, architects, building science specialists, quality assurance teams, user experience teams, DevOps teams, and business stakeholders.\nExcellent analytical, documentation, communication, and problem-solving skills, with experience working in Agile and multicultural delivery teams across time zones.\nSkill Requirements\n\nSkills/Experience\n\nMinimum 8 years of professional Python development experience delivering secure, scalable, and production-quality backend applications or calculation services.\nStrong proficiency in moder Python, object-oriented design, modular architecture, reusable libraries, type validation, dependency management, and coding standards such as PEP 8.\nHands-on experience developing REST APIs using FastAPI or an approved equivalent framework, including request validation, API versioning, authentication, structured error responses, and OpenAPI documentation.\nStrong knowledge of SQL and PostgreSQL, including data modelling, queries, functions, indexing, transaction management, and performance optimization.\nProven 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.\nExperience with Pydantic, PyTest, importlib, caching, configuration management, and development of reusable Python utilities and packages.\nExperience translating complex formulas, business rules, dependency graphs, or scientific models into deterministic, traceable, and testable software components.\nExperience designing automated unit, integration, regression, and API tests, with disciplined defect analysis and test evidence.\nExperience with Microsoft Azure services, App Service or approved container platforms, Azure DevOps, continuous integration and deployment pipelines, secrets management, logging, monitoring, and application support.\nStrong understanding of secure software development, data protection, auditability, resilience, performance, and production support practices.\nWorking knowledge of building science, energy and water efficiency, materials, embodied carbon, cost calculations, or sustainability standards is preferred.\nAbility to collaborate with product owners, architects, building science specialists, quality assurance teams, user experience teams, DevOps teams, and business stakeholders.\nExcellent analytical, documentation, communication, and problem-solving skills, with experience working in Agile and multicultural delivery teams across time zones.\nMust Have Skill\nDevops,Github,Python\nGood to Have Skill\nOther Requirements","datePosted":"2026-11-08T09:45:22.063Z","dateModified":"2026-11-08T09:45:22.063Z","hiringOrganization":{"@type":"Organization","name":"Hcltech2","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"25944a9c10002055e81456e8"},"url":"https://jobsearcher.com/jobs/25944a9c10002055e81456e8"}}