Description

Skill Metrics

AWS DevOps

               
AWS Cloud

               
AWS

               
Core Java

               
AI/ML

               
Terraform

Top skills required for this role:

• Programming: Strong hands-on experience in Java (17+ preferred) and Spring Boot.
• Cloud Proficiency: Proven experience with AWS services (Lambda, EMR, S3, RDS, EKS/ECS).
• AI/ML Knowledge: Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and experience with generative AI tools (e.g., Bedrock, SageMaker).
• Infrastructure as Code (IaC): Experience with Terraform or CloudFormation.
• Architecture: Understanding of microservices, event-driven architectures, and RESTful API design.
• DevOps: Experience with Docker, Kubernetes, and Jenkins

Job Description/ Responsibilities:

• AI Integration & Development: Design, develop, and implement AI-powered automation and applications using AWS Bedrock, LLMs (Large Language Models), or SageMaker.
• Backend Java Engineering: Develop robust backend services and RESTful APIs using Java 17/21, Spring Boot, and microservices architecture.
• AWS Cloud Native Development: Build scalable, resilient solutions utilizing AWS services such as Lambda, S3, API Gateway, and DynamoDB.
• MLOps & Pipeline Management: Implement CI/CD pipelines to automate the deployment, monitoring, and operational lifecycle of AI models.
• Data Handling: Process and clean data to feed machine learning models, creating intelligent algorithms to enhance automation.
• Collaboration: Work with cross-functional teams (data scientists, DevOps) to translate business requirements into technical AI solutions

Key Skills

Education

Any Graduate