Senior Python Backend Architect for AI/API Services

TymblHub; Hinoba-an; On-site; PHP 1,326,000 - 2,785,000; Full time

Job summary

Siemens is seeking a Senior Software Engineer - Python to join our Bangalore-based team. You will develop robust backend services, implement APIs for AI/ML model serving, and collaborate with AI/ML engineers to deploy models in production.

The role emphasizes scalable architecture, SOLID/OOP, and modern DevOps practices. Strong Python expertise and experience with FastAPI, Docker, Git, and CI/CD are required, with opportunities to mentor others.

Qualifications

• Bachelor's or Master's degree in CS/IT or related field.
• 5+ years hands-on Python software development experience.
• Strong understanding of OOP, software architecture and design patterns.
• Experience with backend web frameworks, preferably FastAPI.
• Experience integrating ML/DL models into software solutions.
• Practical experience with CI/CD, containerization (Docker), and Git.
• Exposure to MLOps practices and tools for model deployment and monitoring.
• Strong collaboration and communication skills within cross-functional teams.

Responsibilities

• Write high-quality, testable Python code applying OOP and SOLID principles.
• Develop RESTful APIs and backend services for AI/ML model serving.
• Collaborate with AI/ML engineers to deploy ML/DL/Generative AI models.
• Contribute to software architecture and scalable, efficient design discussions.
• Implement CI/CD pipelines and adhere to DevOps practices.
• Design for observability with structured logging, monitoring and alerts.
• Optimize code and system performance for reliability at scale.
• Participate in code reviews and mentor junior developers.

Skills

Python

OOP

REST APIs

AI/ML integration

Software Architecture

Design Patterns

Education

Bachelor's degree

Master's degree

Tools

FastAPI

Docker

Git

CI/CD

Job description

Siemens is seeking a Senior Software Engineer - Python to join our Bangalore-based team. You will develop robust backend services, implement APIs for AI/ML model serving, and collaborate with AI/ML engineers to deploy models in production.

The role emphasizes scalable architecture, SOLID/OOP, and modern DevOps practices. Strong Python expertise and experience with FastAPI, Docker, Git, and CI/CD are required, with opportunities to mentor others.