Senior AWS AgentCore Platform Engineer — Hybrid + ML Ops

GlobalLogic Inc.; San Jose (CA); Hybrid; USD 135,000 - 145,000; Full time

Benefits offered by this job

Exciting Projects

Collaborative Environment

Work-Life Balance

Professional Development

Excellent Benefits

Job summary

GlobalLogic is seeking a Senior AWS AgentCore Platform Engineer to harden the new AWS AgentCore platform for client teams. You will design and implement scalable, secure cloud workflows using Terraform, SageMaker Unified Studio, and Bedrock components in a hybrid Reading, PA environment.

Join a collaborative, global engineering culture with opportunities to work on market-defining AI projects, strengthen IAM effectiveness, build robust CI/CD pipelines, and advance cloud-native ML operations.

Qualifications

• Hands-on Python development (3.11+), robust applications and agentic logic.

Responsibilities

• Python (3.11+): Hands-on experience building robust applications and agentic logic.
• SageMaker Unified Studio (SMUS) & MLOps: manage end-to-end ML lifecycle, automate model training, register models, configure endpoints.
• Infrastructure as Code (IaC): Terraform to provision AWS services (Bedrock Agents, Knowledge Bases, DynamoDB, Lambda).
• CI/CD & DevOps: automate deployment pipelines for cloud-native apps and MLOps workflows.
• AWS Security & Identity: IAM with fine-grained permissions and secure service communication.
• AWS Bedrock AgentCore: familiarity with Agent Runtime, Memory, Identity, and Tool Gateway layers.
• Multi-Agent Orchestration: experience with LangGraph, strands, etc.
• Model Context Protocol (MCP): strong understanding of MCP and integration patterns.
• AWS Certification (Optional): AWS Professional-level certs preferred.
• Continuous Learning: willingness to learn emerging AI technologies.

Skills

AWS

AWS Bedrock

AWS Cloudtrail

AWS Cloudwatch

AWS IAM

MCP

Python

Strands Agents

Terraform

Job description

GlobalLogic is seeking a Senior AWS AgentCore Platform Engineer to harden the new AWS AgentCore platform for client teams. You will design and implement scalable, secure cloud workflows using Terraform, SageMaker Unified Studio, and Bedrock components in a hybrid Reading, PA environment.

Join a collaborative, global engineering culture with opportunities to work on market-defining AI projects, strengthen IAM effectiveness, build robust CI/CD pipelines, and advance cloud-native ML operations.