Data Engineer (Platform)

Key Responsibilities • Design, configure, and manage AWS platform components required to support Amazon Bedrock and AgentCore workloads. • Establish and maintain scalable, secure, and reliable cloud infrastructure for AI agent applications. • Work with AWS services such as IAM, VPC, networking, AWS Lambda, Amazon ECS/EKS, CloudWatch, S3, and other relevant platform services. • Configure and manage Amazon Bedrock and AgentCore capabilities from a platform and infrastructure perspective. • Implement platform-level security, identity and access management, authentication, authorization, secrets management, and network controls. • Enable agent deployment, runtime management, environment configuration, connectivity, and operational support. • Build and maintain Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, or AWS CDK. • Implement CI/CD pipelines and automated deployment processes for platform components and agent-based applications. • Establish monitoring, logging, tracing, alerting, troubleshooting, and operational practices for production workloads. • Optimize platform performance, scalability, availability, reliability, and cost. • Collaborate with AI application developers, solution architects, security teams, and DevOps engineers to provide reusable platform capabilities and deployment standards. • Troubleshoot infrastructure, permissions, networking, runtime, integration, and deployment issues across AWS environments. • Define platform standards, reusable templates, guardrails, and best practices for teams developing AI-powered applications. Required Skills and Experience • Strong hands-on experience with AWS cloud infrastructure and platform engineering. • Good understanding of AWS architecture, including compute, storage, networking, security, identity, and observability. • Working knowledge of Amazon Bedrock, including its platform configuration, access management, service integration, and operational considerations. • Hands-on knowledge of Amazon Bedrock AgentCore, particularly runtime deployment, identity, gateway, observability, and related platform capabilities. • Strong understanding of IAM roles and policies, least-privilege access, VPC networking, security groups, endpoints, and secrets management. • Experience with Infrastructure as Code tools such as Terraform, CloudFormation, or AWS CDK. • Experience with CI/CD pipelines, automated deployments, and environment management. • Knowledge of containers and serverless technologies, such as Docker, ECS/EKS, and AWS Lambda. • Experience with platform monitoring, logging, troubleshooting, and production support. • Understanding of enterprise cloud platform design, including security, governance, scalability, reliability, and cost management.