Engineering Manager

Engineering Manager – Backend (Python)

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

• 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.

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

  10–15-member engineering teams

  .
• Strong grounding in cloud-native architecture and production deployment workflows.
• Ability to contribute directly to development while leading teams effectively.