AWS Bedrock Developer+Terraform+Python

Educational Requirements

Bachelor of Engineering,BTech,BSc,BCA,MTech,MCA,MSc

Service Line

Data Analytics Unit

Responsibilities

• AWS Bedrock / GenAI Development
• Design and develop Generative AI applications using AWS Bedrock
• Integrate foundation models (FM) like Anthropic, Amazon Titan, etc. for use cases such as chatbots, summarization, and recommendation systems
• Build APIs/services to consume Bedrock models
• Implement prompt engineering and fine-tuning strategies
• Cloud Infrastructure (AWS)
• Work with AWS services such as Lambda, API Gateway, S3, IAM, CloudWatch, EC2
• Design scalable and secure cloud architectures
• Monitor and optimize cloud performance and cost
• Terraform (IaC)
• Develop and manage Infrastructure as Code (IaC) using Terraform
• Create reusable modules and automate provisioning
• Maintain environment consistency (Dev/UAT/Prod)
• Integrate Terraform with CI/CD pipelines
• Python Development
• Develop backend services using Python (Flask/FastAPI)
• Build data processing and automation scripts
• Integrate AI/ML services with business workflows
• Data Integration
• Work with structured and unstructured data sources
• Build pipelines to feed and consume AI models
• Ensure data security, privacy, and compliance

Additional Responsibilities

• Understanding of REST APIs microservices architecture
• Familiarity with JSON, API integrations, and SDKs
• Experience with Git, CI/CD tools (Jenkins/GitHub Actions)
• Knowledge of prompt engineering and LLM usage patterns

Technical and Professional Requirements

• Core Skills25 years of experience in Python development
• Hands-on experience with AWS services (mandatory)
• Proven experience or exposure to AWS Bedrock / Generative AI platforms
• Strong experience with Terraform (mandatory)

Preferred Skills

• Technology- >AI-Data science- >Python
• Technology- >AI-Generative AI- >Generative AI - Basic- >closed models (AWS Bedrock)
• Technology- >Cloud Platform- >Terraform