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.
Experience
- 913 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 1015 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.
Behavioural Skills
- Strong leadership capabilities and experience managing multi-disciplinary technical teams.
- Excellent communication and stakeholder management skills.
- Strategic, analytical, and problem-solving mindset.
- Demonstrated ability to thrive in a fast-paced, innovation-driven environment.
- High adaptability and openness to continuous learning.
Technical Skills
- 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.
- Experience integrating AI/LLM systems such as Gemini Enterprise into backend applications.
- Strong fundamentals in system design, architecture, scalability, and performance optimization.
- Hands-on exposure to DevOps, CI/CD pipelines, Docker, Kubernetes, and cloud-native best practices.
Non-Negotiable Skills
- Demonstrable hands-on backend engineering expertise in Python and FastAPI.
- Proven experience managing 1015-member engineering teams.
- Strong grounding in cloud-native architecture and production deployment workflows.
- Ability to contribute directly to development while leading teams effectively.
