About the Opportunity
We are looking for an experienced a DevOps Engineer to support the transition of a 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 RedTeam’s existing .NET backend team to integrate a new Backend RAG API Service, enabling semantic search on construction specification documents through existing frontend applications.
Responsibilities
Infrastructure Provisioning
* Execute curated deployment scripts using the AWS SDK.
* 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.
* Ensure correct integration with the customer’s .NET API, where authentication/authorization is handled (no native AWS auth).
AWS Lambda Deployment
* Deploy the API Orchestrator Lambda and the Ingestion & KB Sync Lambda functions.
* Ensure Lambdas 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.
* Implement pragmatic least-privilege IAM policies for all components.
S3 Integration Setup
* 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.
Database Deployment
* Deploy and configure the Amazon RDS PostgreSQL instance for chat history and conversation memory.
* Execute necessary DDL changes and schema configuration.
Observability Setup
* Configure CloudWatch logs and alarms for monitoring, troubleshooting, and operational health.
Required 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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