Senior AWS AgentCore Platform Engineer

CIS Technologies Inc.; Reading (Berks County); Hybrid; USD 130,000 - 190,000; Full time

Job summary

CIS Technologies Inc. in Reading, PA, is seeking a Senior AWS AgentCore Platform Engineer on a hybrid basis (2-3 days per week).

The role emphasizes AgentCore experience and hands-on work with Python, SMUS, and cloud-native architectures. The incumbent will operate across IAM, Bedrock AgentCore, LangGraph-based orchestration, MCP integrations, and MLOps pipelines, while staying current with new AI tools and cloud services.

Qualifications

• Hands-on Python 3.11 experience building robust applications.
• Experience with SMUS to manage the end-to-end ML lifecycle, automating training and endpoints.
• Terraform production-level usage to provision AWS services (Bedrock, DynamoDB, Lambda).
• CI/CD for cloud-native applications and ML workflows.

Skills

Python

SMUS / MLOps

Terraform

AWS IAM

Bedrock AgentCore

CI/CD

MCP

LangGraph

AWS certifications (optional)

DevOps

Job description

Role: Senior AWS AgentCore Platform Engineer

Location: Reading PA (Hybrid 2-3 days a week)

Note: AgentCore experience is must.

Job Description

• Python (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.