Python Automation Architect

Role & responsibilities

Python Architect

• Architectural Leadership:

  Define and own the overall technical architecture for complex applications, ensuring scalability, reliability, and security.

• Software Design & Development:

  Drive high-quality software design patterns, code reviews, and best practices across development teams.

• Python & Framework Expertise:

  Architect and implement backend services using Python, Django/Flask, with optimized APIs and reusable components.

• Cloud Architecture:

  Design and deploy secure, scalable cloud solutions on

  Azure

  (experience with AWS is an added plus).

• Containerization & DevOps:

  Implement

  Docker

  -based deployments, CI/CD pipelines, and infrastructure automation.

• Web & UI Integration:

  Collaborate with frontend engineers on

  React

  integration to ensure seamless user experiences.

• SaaS Integration:

  Architect and integrate multi-tenant SaaS platforms, ensuring smooth data flows and third-party system interoperability.

• Test Automation:

  Establish and enforce test automation frameworks to improve quality, reduce regression issues, and accelerate delivery.

• AI for Code Optimization:

  Leverage

  AI-powered tools

  for code optimization, refactoring, and improving development productivity.

• Documentation:

  Prepare design documents, sequence diagrams, and technical specifications.

• Mentorship & Collaboration:

  Provide technical guidance to teams, partner with product managers, and communicate effectively with stakeholders.

Preferred candidate profile

• Experience:

  12+ years in software engineering with at least 5+ years in an

  Architectural / Technical Leadership

  role.

• Programming & Backend:

  Deep expertise in

  Python

  , Django, Flask, RESTful API design, and scalable backend architectures.

• Software Design:

  Proven experience applying architectural patterns, microservices design, and reusable frameworks.

• Cloud & DevOps:

  Hands-on experience with

  Azure cloud

  , CI/CD pipelines,

  Docker

  , and infrastructure as code (IaC).

• UI & Frontend Integration:

  Understanding of

  React

  -based frontend applications and their integration with Python backends.

• Testing & Automation:

  Experience designing and implementing

  test automation frameworks

  .

• SaaS Systems:

  Strong background in

  SaaS platform design and integration

  , including multi-tenant solutions.

• AI in Development:

  Practical exposure to

  AI tools for code optimization, automated refactoring, and quality improvements

  .

• Databases:

  Strong skills in SQL & NoSQL, schema design, and performance tuning.

• Soft Skills:

  Excellent problem-solving, communication, and leadership skills.

• Container orchestration (Kubernetes) and API Gateway experience.
  
• Exposure to data pipelines, ML/AI integrations, or event-driven architectures.
  
• TOGAF, Azure Solution Architect, or similar certifications.