Python Engineering Manager

Purpose/Objective

We are seeking a highly skilled and hands-on Engineering Manager – Backend (Python) to join our engineering team in Ahmedabad. The ideal candidate will bring deep technical expertise in building scalable backend systems, proficiency with modern cloud-native architectures, and proven experience leading high-performing engineering teams. This individual must be comfortable contributing to production-quality code, driving architectural decisions, and supporting the development of AI-enabled applications by leveraging FastAPI, LangGraph/Google ADK, and Gemini Enterprise on GCP. The Engineering Manager will oversee a team of backend engineers while remaining actively involved in technical execution. This is an exciting opportunity to lead mission-critical product engineering initiatives and build state-of-the-art AI-driven systems within a dynamic and innovative environment at Adani.

Key Responsibilities of Role

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.

Technical Competencies

Expertise in Python backend engineering, FastAPI, asynchronous programming, and microservices. ,Strong understanding of LangGraph or Google ADK for LLM workflow orchestration. ,Proficiency with GCP services including Cloud Run, GKE, Cloud SQL, IAM, VPC, Pub/Sub, and Cloud Storage. ,Hands-on exposure to DevOps, CI/CD pipelines, Docker, Kubernetes, and cloud-native best practices.

Qualifications and Experience

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