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Senior AWS AgentCore Platform Engineer
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What they do
A Platform Engineer is responsible for the development of platforms that support the needs and use cases of different engineering teams across the organization. Creates reusable tools and workflows to streamline operational needs and facilitate automation tasks, supporting scalability of DevOps practices.
$135,044 / year median in Pennsylvania
Job Description
Senior AWS AgentCore Platform Engineer at Halian | Managed Services, Recruitment Agency & Contract Staffing Senior AWS AgentCore Platform Engineer at Halian | Managed Services, Recruitment Agency & Contract Staffing in Reading, Pennsylvania Posted in 4 days ago.
Type:
full-time Are you passionate about building enterprise-scale AI platforms on AWS? We are seeking a Senior AWS AgentCore Platform Engineer to help strengthen and scale a next-generation AI Agent platform built on Amazon Bedrock AgentCore. In this role, you will be responsible for designing and implementing the infrastructure, observability, security, monitoring, and cost governance capabilities that enable multiple teams to develop, deploy, and operate AI agents securely and efficiently. What You'll Be Doing AI Platform Observability & Reliability Design and implement observability solutions across AWS AgentCore environments. Build distributed tracing and structured logging for AI agent workflows. Monitor LLM interactions, tool usage, MCP integrations, and agent execution paths. Evaluate and implement monitoring solutions including CloudWatch, Dynatrace, and AWS-native services. Develop deployment validation pipelines and operational health checks. Monitoring & Incident Management Create and manage alerting strategies for platform and agent workloads. Define operational runbooks and troubleshooting procedures. Integrate monitoring alerts with Microsoft Teams and email notification systems. Improve platform reliability using SRE best practices. Cloud Cost Governance Build cost visibility and reporting frameworks for AI workloads. Monitor Bedrock token consumption and usage trends. Implement tagging strategies, AWS Budgets, and anomaly detection. Create dashboards showing AI platform spend by team and department. Security & Access Control Design scalable IAM and ABAC access control frameworks. Implement secure multi-team isolation models. Evaluate and deploy Cedar-based authorization strategies. Develop reusable Terraform modules for security and infrastructure automation. Infrastructure Automation Build Infrastructure-as-Code solutions using Terraform. Automate provisioning and management of AgentCore, Bedrock, and AWS platform resources. Support CI/CD pipelines and platform engineering initiatives. Required Skills AWS Cloud Platform Amazon Bedrock AgentCore (or AI/Agentic Platform Experience) Terraform DevOps / Site Reliability Engineering (SRE) AWS IAM CloudWatch MLOps SageMaker Observability & Monitoring Infrastructure as Code Preferred Skills Dynatrace LangFuse LiteLLM MCP (Model Context Protocol) Vector Databases FinOps / Cloud Cost Optimization CI/CD Automation Enterprise AI Platforms Required Experience 7+ years of AWS Cloud Engineering experience 5+ years working in DevOps, Platform Engineering, or SRE environments Experience supporting production cloud platforms at enterprise scale Hands-on experience with Terraform and AWS IAM Experience supporting MLOps, Generative AI, or AI platform initiatives
Benefits
- Dental Insurance