Back End Engineer

About Business

The Adani Group is a prominent diversified organization in India, comprising ten publicly traded companies. It has successfully developed a world-class portfolio in logistics and utility infrastructure with a nationwide presence. Headquartered in Ahmedabad, Gujarat, the Adani Group is a leader in its logistics and energy sectors, concentrating on large-scale infrastructure development in India, adhering to globally benchmarked operations and maintenance practices. With four IG-rated businesses, it is the only Infrastructure Investment Grade issuer in India.

Job Purpose

The Backend Engineer for AI Labs is tasked with developing, optimizing, and maintaining the backend services, APIs, and databases essential for supporting AI-driven applications. Reporting to the Lead - Backend Engineering, this role emphasizes building scalable, secure, and high-performance backend systems. Key responsibilities include integrating AI models into production workflows and collaborating with frontend, DevSecOps, and data science teams to ensure seamless data flow and optimal API performance.

Responsibilities

Backend Development & API Implementation

• Develop and maintain scalable backend services that ensure reliability and security for AI-powered applications.
• Build and optimize RESTful & GraphQL APIs, facilitating efficient communication between AI models and user interfaces.
• Implement a microservices-based architecture using frameworks like FastAPI or NestJS, ensuring modular and scalable backend solutions.
• Ensure API reliability and efficiency, minimizing latency through caching, asynchronous processing, and load balancing.
• Integrate authentication and authorization mechanisms such as OAuth, JWT, and RBAC to secure API endpoints.

Database & Storage Management

• Manage and optimize SQL, NoSQL, and Vector databases for efficient data storage and retrieval.
• Enhance database query performance via indexing, caching, and partitioning strategies.
• Ensure high availability and data consistency by implementing backup, replication, and failover mechanisms.
• Collaborate with AI engineers to store, process, and retrieve large datasets that support AI/ML workloads.

AI Model Integration & Performance Optimization

• Deploy AI/ML models into backend workflows, ensuring low-latency and efficient model inference.
• Optimize data pipelines for AI applications, reducing response times and ensuring smooth real-time processing.
• Implement event-driven architectures to handle AI model triggers, ensuring efficient request handling.
• Partner with AI engineers to refine model-serving performance and inference scalability.

Security, Scalability & Performance Optimization

• Ensure backend security through the implementation of encryption, authentication, and compliance measures.
• Optimize backend performance to handle high-throughput AI-driven requests with minimal latency.
• Develop monitoring and logging mechanisms for real-time issue detection and debugging.
• Support disaster recovery and failover planning to maintain backend resilience in production.

Cross-Functional Collaboration & Continuous Improvement

• Work closely with frontend engineers to ensure seamless API integration and an enhanced user experience.
• Collaborate with DevSecOps teams to optimize backend deployments, security enforcement, and CI/CD processes.
• Participate in agile development cycles to ensure timely backend feature releases.
• Stay current with backend technologies, contributing to process improvement and innovation.

Key Stakeholders - Internal

• Frontend Developers
• DevOps & Cloud Teams
• Product Managers & Business Teams
• Security & Compliance Teams

Key Stakeholders - External

• API Vendors & Cloud Providers
• Third-Party Integration Partners
• Open-Source Communities

Qualifications

Educational Qualification:

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related fields.

Certification:

• AWS Certified Developer – Associate, Google Professional Cloud Developer, Microsoft Azure Developer Associate.
• Certified Kubernetes Administrator (CKA).
• Advanced Backend Development & API Security Certifications (e.g., from Udemy, Coursera, LinkedIn Learning).

Work Experience (Range Of Years):

• 1-10 years of experience in backend development, distributed systems, and API design.
• Proficiency in backend programming languages such as Python, Java, or Go.
• Strong expertise in database management using PostgreSQL, MySQL, MongoDB, or Cassandra.
• Experience with containerization, cloud services, and CI/CD pipelines.