Python Senior Technical Lead - DevOps

HCL Technologies Limited; United States; Sur place; USD 140 000 - 210 000; Plein temps

Résumé du poste

Sapsf seeks a Python Senior Technical Lead - DevOps to guide backend architecture, deliver secure, scalable production services, and mentor engineering squads across time zones.

You will drive API design with FastAPI/OpenAPI, optimize data models in PostgreSQL, and champion automated testing, CI/CD in Azure, and reliable production support in a multinational Agile environment.

Qualifications

• 8+ years of professional Python development experience delivering secure, scalable, backend applications or calculation services.
• Proficiency in modern Python, OOP, modular architecture, reusable libraries, type validation, dependency management, and PEP 8 standards.
• Hands-on REST API development using FastAPI or approved framework with request validation, versioning, authentication, and structured error responses.

Responsabilités

• Lead design and implementation of backend services with a focus on security, reliability and performance.
• Drive API design, data modeling in PostgreSQL, and automated testing (unit/integration) using PyTest.
• Oversee CI/CD pipelines, Azure services, secrets management, logging, and monitoring; mentor cross-functional teams.

Connaissances

Python development

REST APIs

SQL/PostgreSQL

AI automation

Pydantic

PyTest

Azure DevOps

Secure software

Agile methodologies

OpenAPI

Formation

Bachelor's degree in computer science or related field

Master's degree preferred

Outils

FastAPI

OpenAPI documentation

Description du poste

Career Opportunities: Python Senior Technical Lead - DevOps (170325)

Requisition ID170325-Posted10/14/2026

• Minimum 8 years of professional Python development experience delivering secure, scalable, and production-quality backend applications or calculation services.
• Strong proficiency in moder 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.
• Ability to collaborate with product owners, architects, building science specialists, quality assurance teams, user experience 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.

Key Responsibilities

Skill/Experience

• Minimum 8 years of professional Python development experience delivering secure, scalable, and production-quality backend applications or calculation services.
• Strong proficiency in moder 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.
• Ability to collaborate with product owners, architects, building science specialists, quality assurance teams, user experience 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.

Skill Requirements

Skills/Experience

• Minimum 8 years of professional Python development experience delivering secure, scalable, and production-quality backend applications or calculation services.
• Strong proficiency in moder 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.
• Ability to collaborate with product owners, architects, building science specialists, quality assurance teams, user experience 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.