Python Senior Technical Lead DevOps

Job description

1. 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 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. Key Responsibilities 1. 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 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. Skill Requirements 1. 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 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. Other Requirements Apply now Information at a Glance Why HCLTech? At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 230,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion. Disclaimer Privacy Statement Terms of use Sitemap Raise a Grievance We use cookies on our site. Please read more about cookies policy here. Opens in a new tab. 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