We are looking for a Senior Backend & DevOps Engineer with 5+ years of experience in building scalable backend systems, managing AWS infrastructure, and deploying AI/ML models into production.

The ideal candidate should have solid experience with Node.js, Python, Flask/FastAPI, MERN stack, AWS, Docker, CI/CD, cloud infrastructure, and production deployments. Experience deploying and managing AI/ML/LLM models will be highly preferred.

Key Responsibilities
Design, develop, and maintain scalable backend services and REST APIs.
Build backend applications using Node.js, Express.js, Python, Flask, and FastAPI.
Work with MongoDB, DynamoDB, PostgreSQL/MySQL, and Redis where required.
Develop and maintain applications using the MERN stack.
Design and manage AWS cloud infrastructure.
Deploy and manage applications on EC2, ECS/EKS, Lambda, S3, CloudFront, API Gateway, RDS, DynamoDB, and related AWS services.
Build and maintain CI/CD pipelines using GitHub Actions, Jenkins,



AWS CodePipeline, or similar tools.
Containerize applications and AI services using Docker.
Manage production deployments, monitoring, logging, scaling, backup, and disaster recovery.
Configure VPC, Security Groups, IAM roles/policies, Load Balancers, Route 53, SSL certificates, and network security.
Deploy and maintain AI/ML models, LLM services, speech models, and inference APIs.
Deploy AI models using AWS SageMaker, EC2 GPU instances, Docker, or custom inference servers.
Optimize AI inference services for latency, scalability, GPU utilization, and cost.
Implement monitoring using CloudWatch, Grafana, Prometheus, or similar tools.
Troubleshoot production issues and improve system reliability and performance.
Implement secure authentication and authorization using JWT, OAuth,

📌 Backend & Devops Engineer Mern Stack Aws Ai Model Deployment Delhi
🏢 Eelc Coaching Technologies
📍 Delhi