Senior Serverless Architecture Specialist

2 semanas atrás

São Paulo, Brasil beBeeSpecialist Tempo inteiro

Serverless Engineering Opportunity We are seeking a skilled Senior Serverless Architecture Specialist to lead the transition of our Retrieval-Augmented Generation (RAG) backend system from a Proof of Concept (PoC) to a scalable, production-ready platform. This role will focus on building, configuring, and deploying a serverless architecture leveraging AWS Bedrock, Lambda, API Gateway, RDS PostgreSQL, and other managed services. You will collaborate closely with our existing .NET backend team to integrate a new Backend RAG API Service, enabling semantic search on construction specification documents through existing frontend applications. Provision the full serverless architecture: API Gateway, Lambda, RDS (PostgreSQL), VPC components, and Bedrock Knowledge Base. Deploy and configure RESTful API endpoints for chat query orchestration. Deploy the API Orchestrator Lambda and the Ingestion & KB Sync Lambda functions. Configure VPC networking, subnets, and access control for RDS connections. Implement pragmatic least-privilege IAM policies for all components. Configure Amazon S3 as the corpus data source for the AWS Bedrock Knowledge Base. Enable automatic synchronization between the S3 bucket and the Knowledge Base. Deploy and configure the Amazon RDS PostgreSQL instance for chat history and conversation memory. Execute necessary DDL changes and schema configuration. Configure CloudWatch logs and alarms for monitoring, troubleshooting, and operational health. Key Responsibilities: 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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