Key Skills
- Hands-on experience with AWS services such as EC2, S3, Lambda, API Gateway, RDS, or DynamoDB
- Basic understanding of AI/ML concepts and experience with Python-based ML libraries (NumPy, Pandas, Scikit-learn, etc.)
- Experience in Python / Node.js / Java for backend development
- Understanding of REST APIs and microservices architecture
- Familiarity with Git, CI/CD pipelines, and DevOps fundamentals
- Knowledge of Docker / containerization (preferred)
- Basic understanding of cloud security, IAM roles, and policies
- Experience in using AI tools (e.g., ChatGPT, GitHub Copilot, or similar tools) for development, debugging, documentation, and productivity in day-to-day tasks
Roles & Responsibilities
- Develop and maintain cloud-based applications on AWS
- Build and integrate APIs and backend services
- Assist in deploying, monitoring, and managing applications on AWS infrastructure
- Work with the team to integrate AI/ML models or AI-powered services into applications
- Utilize AI tools for coding assistance, debugging, automation, and improving development efficiency
- Optimize applications for performance, scalability, and reliability
- Collaborate with cross-functional teams for design, development, and deployment
- Troubleshoot and resolve cloud or application-related issues
AWS Certification is mandatory
Education Qualification
B.Tech/M.Tech from CSE/IT/AI/ML/ECE
Skills:- Amazon Web Services (AWS), AWS Lambda, AWS CloudFormation, AWS RDS, AWS ECR, Load balancing, API Gateway , CloudWatch, REST API development and integration, Working with microservices architecture, Security Information and Event Management (SIEM), IAM roles and policies, Security groups & VPC basics, AWS access management, CI/CD pipelines, Docker / containerization, Terraform / AWS CloudFormation), Kubernetes / ECS / EKS, AWS SageMaker, AWS Rekognition, AWS Comprehend, Bedrock / AI services, Python ML libraries, Python, NodeJS (Node.js), Java and
