Cloud Infrastructure Architect

1 semana atrás

Belo Horizonte, Brasil beBeeArchitect Tempo inteiro

Seeking a skilled Cloud Infrastructure Architect to drive the migration of our Retrieval-Augmented Generation (RAG) backend system from Proof of Concept to a scalable, production-ready platform. This role will focus on designing, building, and deploying a serverless architecture utilizing AWS Bedrock, Lambda, API Gateway, RDS PostgreSQL, and other managed services. Collaboration with our existing .NET backend team is crucial for integrating a new Backend RAG API Service, enabling semantic search on construction specification documents through existing frontend applications. Key Responsibilities: Infrastructure Provisioning: Utilize curated deployment scripts with the AWS SDK to provision the full serverless architecture: API Gateway, Lambda, RDS (PostgreSQL), VPC components, and Bedrock Knowledge Base. API Gateway Configuration: Deploy and configure RESTful API endpoints for chat query orchestration, ensuring correct integration with the customer's .NET API where authentication/authorization is handled. AWS Lambda Deployment: Deploy the API Orchestrator Lambda and Ingestion & KB Sync Lambda functions, ensuring they run inside the VPC and can be invoked by the customer's .NET backend. Networking & Security: Configure VPC networking, subnets, and access control for RDS connections, implementing least-privilege IAM policies for all components. S3 Integration Setup: Configure Amazon S3 as the corpus data source for the AWS Bedrock Knowledge Base, enabling automatic synchronization between the S3 bucket and the Knowledge Base. Database Deployment: Deploy and configure the Amazon RDS PostgreSQL instance for chat history and conversation memory, executing necessary DDL changes and schema configuration. Observability Setup: Configure CloudWatch logs and alarms for monitoring, troubleshooting, and operational health. Required Skills and Qualifications: Strong hands-on experience with AWS Serverless Architecture (Lambda, API Gateway, S3, DynamoDB or RDS). Experience provisioning AWS environments using AWS SDK, IaC scripts, or automated deployment pipelines. Proficiency with VPC networking, IAM security policies, and integrating private Lambdas with RDS. Knowledge of RDS (PostgreSQL) administration and schema deployment. Experience with CloudWatch for logging, metrics, and alarm configuration. Ability to integrate backend services with external APIs, especially .NET-based systems. Nice to Have Skills: Experience with Retrieval-Augmented Generation (RAG) architectures. Familiarity with AWS Bedrock, Bedrock Knowledge Base, and generative AI workloads. Working knowledge of semantic search, embeddings, or vector-based search systems. Experience with .NET backend integration or hybrid cloud/backend environments. Exposure to infra-as-code tools (CloudFormation, CDK, Terraform). Background in serverless best practices, scalability, and production hardening.

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