Engineering Manager - Python Backend & AI Platform

Python Engineering Manager

xperience 

9–13 years of experience in product-based technology organizations. 

Minimum 5 years of hands-on backend engineering experience using Python. 

Served as an Engineering Manager or Technical Lead managing 10–15 engineers. 

Demonstrated experience designing scalable microservices, cloud architectures, and distributed systems. 

Strong exposure to building AI/LLM-enabled applications is preferred. 

Roles and Responsibilities 

As an Engineering Manager, you will be responsible for: 

Leadership & Delivery 

Driving end-to-end design, development, testing, deployment, and maintenance of backend services and AI-enabled solutions. 

Collaborating closely with product, architecture, data science, and AI teams to deliver high-impact features. 

Hands-on Engineering 

Actively contributing to backend development using Python, FastAPI, and modular service design. 

Designing, reviewing, and writing production-grade code, ensuring adherence to best practices and coding standards. 

Creating skeletons, frameworks, and reusable components that accelerate backend engineering velocity. 

Performing in-depth code reviews, debugging complex issues, and guiding engineers on technical excellence. 

Architecture & AI Platform Integration 

Architecting scalable, secure, high-performing backend systems on GCP (Cloud Run, GKE, Cloud SQL). 

Implementing AI/LLM workflows using LangGraph or Google ADK, integrating with Gemini Enterprise APIs. 

Collaborating with AI/ML teams to integrate models into microservices with optimal latency and reliability. 

Ensuring the backend architecture supports future scalability and multi-tenant enterprise use cases. 

Strategic Contributions 

Acting as a thought leader in backend architecture, cloud-native design, and AI-driven application development. 

Contributing to roadmap planning, resource allocation, and execution strategy aligned with business objectives. 

Staying up to date with emerging Python frameworks, LLM orchestration technologies, and GCP innovations. 

Education Qualification 

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline. 

Experience Level

Mid Level