Backend & DevOps Engineer-MERN Stack | AWS | AI Model Deployment

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 strong 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,