AWS Bedrock Developer-Terraform-Python

Educational Requirements

BTech,BCA,BSc,MTech,MCA,MSc

Service Line

Data Analytics Unit

Responsibilities

• 59 years of experience in Python development and cloud engineering.
• Hands-on experience with AWS Bedrock (LLMs, embeddings, APIs).
• Terraform (Infrastructure as Code).
• Strong knowledge of Generative AI concepts (LLMs, NLP, prompt engineering).
• Experience building scalable APIs using FastAPI / Flask.
• Experience with AWS services: Lambda, S3, EC2, API Gateway, IAM, CloudWatch.
• Strong understanding of microservices architecture.
• Experience implementing RAG pipelines and vector search.
• Proficiency in REST APIs, JSON, and system integration.

Additional Responsibilities

• Experience with LangChain, LlamaIndex, or similar frameworks.
• Exposure to Kubernetes Docker.
• Experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps).
• Familiarity with MLOps tools (MLflow, SageMaker Pipelines).
• Knowledge of multi-cloud environments (Azure OpenAI / GCP Vertex AI).
• Experience with data engineering pipelines.
• Understanding of Responsible AI / AI governance.

Technical and Professional Requirements

• Primary skills:Domain- >Banking- >Compliance Regulations- >Consumer Banking,Technology- >Geographical Information System- >Spatial Databases- >SQL Server,Technology- >OpenSystem- >Python - OpenSystem

Preferred Skills

• Technology- >OpenSystem- >Python - OpenSystem- >Python
• Technology- >AI-Generative AI- >Generative AI - Basic- >closed models (aws bedrock)
• Technology- >Cloud Platform- >Terraform