Python Senior Technical Lead - DevOps

Job Summary

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