{"schemaVersion":"jobsearcher.job.v1","id":"f7701928faef8f2929b9e012","url":"https://jobsearcher.com/jobs/f7701928faef8f2929b9e012","canonicalUrl":"https://jobsearcher.com/jobs/f7701928faef8f2929b9e012","title":"AWS AgentCore Platform Engineer","description":"Role: Senior AWS AgentCore Platform EngineerLocation: Reading PA (Hybrid 2-3 days a week) Note: AgentCore experience is must.Job DescriptionPython (3.11+): Hands-on experience building robust applications and agentic logic.Amazon SageMaker Unified Studio (SMUS) & MLOps: Hands-on experience with SMUS to manage the end-to-end ML lifecycle. This includes automating model training, registering models in the centralized registry, and configuring real-time/asynchronous inference endpoints within the SMUS ecosystem.Infrastructure as Code (IaC):Production-level expertise using Terraform to provision AWS services, including Bedrock Agents, Knowledge Bases, DynamoDB, Lambda, etc.CI/CD & DevOps: Proven track record in building and maintaining automated deployment pipelines for cloud-native applications and MLOps workflows.AWS Security & Identity: Deep experience with IAM for fine-grained permissions and secure service communication.AWS Bedrock AgentCore : Familiarity with the latest ecosystem, specifically the Agent Runtime, Memory, Identity, and Tool Gateway layers.Multi-Agent Orchestration: Experience building or enabling collaborative systems using frameworks like LangGraph, strands, etc.Model Context Protocol (MCP): Strong understanding of MCP and modern tool/API integration patterns for AI agents.AWS Certification (Optional): Holding one or more AWS Professional-level certifications—specifically the AWS Certified AI Practitioner or AWS Certified Machine Learning – Specialty—is highly preferred and considered a strong plus.Continuous Learning: Willingness to learn emerging AI technologies, frameworks, and evolving cloud services.","company":"Sdlc Technologies","rawCompany":"sdlc technologies","city":"Reading","state":"PA","isRemote":false,"isActive":false,"createdAt":"2026-10-01T23:14:16.845Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AWS AgentCore Platform Engineer","description":"Role: Senior AWS AgentCore Platform EngineerLocation: Reading PA (Hybrid 2-3 days a week) Note: AgentCore experience is must.Job DescriptionPython (3.11+): Hands-on experience building robust applications and agentic logic.Amazon SageMaker Unified Studio (SMUS) & MLOps: Hands-on experience with SMUS to manage the end-to-end ML lifecycle. This includes automating model training, registering models in the centralized registry, and configuring real-time/asynchronous inference endpoints within the SMUS ecosystem.Infrastructure as Code (IaC):Production-level expertise using Terraform to provision AWS services, including Bedrock Agents, Knowledge Bases, DynamoDB, Lambda, etc.CI/CD & DevOps: Proven track record in building and maintaining automated deployment pipelines for cloud-native applications and MLOps workflows.AWS Security & Identity: Deep experience with IAM for fine-grained permissions and secure service communication.AWS Bedrock AgentCore : Familiarity with the latest ecosystem, specifically the Agent Runtime, Memory, Identity, and Tool Gateway layers.Multi-Agent Orchestration: Experience building or enabling collaborative systems using frameworks like LangGraph, strands, etc.Model Context Protocol (MCP): Strong understanding of MCP and modern tool/API integration patterns for AI agents.AWS Certification (Optional): Holding one or more AWS Professional-level certifications—specifically the AWS Certified AI Practitioner or AWS Certified Machine Learning – Specialty—is highly preferred and considered a strong plus.Continuous Learning: Willingness to learn emerging AI technologies, frameworks, and evolving cloud services.","datePosted":"2026-10-01T23:14:16.845Z","dateModified":"2026-10-01T23:14:16.845Z","hiringOrganization":{"@type":"Organization","name":"Sdlc Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Reading","addressRegion":"PA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f7701928faef8f2929b9e012"},"url":"https://jobsearcher.com/jobs/f7701928faef8f2929b9e012"}}