Senior AI Infrastructure Engineer – AWS Bedrock & OpenSearch

GlobalLogic; Colombia; Presencial; COP 120.000.000 - 180.000.000; Jornada completa

Descripción de la vacante

GlobalLogic is looking for an AI Systems Engineer to own the production infrastructure for agentic AI workloads on AWS Bedrock. You will design and operate infrastructure-as-code, secure IAM, and scalable pipelines to deploy and run intelligent agents at scale.

Join a small team reporting to the Global Head of AI Strategy, Policy, and Governance, focusing on cost-effective, reliable cloud solutions and close collaboration with AI engineers on MCP deployments and performance tuning.

Formación

• Hands-on Terraform experience and IaC discipline.
• Deep AWS experience with Bedrock, Lambda, API Gateway, and ECS/Fargate.
• Experience building secure, scalable CI/CD pipelines.

Responsabilidades

• Own production infrastructure and provisioning for AWS Bedrock AgentCore environments.
• Design and maintain infrastructure-as-code for AI workloads (Terraform).
• Architect secure, least-privilege IAM policies for runtimes and services.
• Build and maintain CI/CD pipelines (GitHub Actions, CodePipeline).
• Instrument AI systems with OpenTelemetry, CloudWatch, and X-Ray for observability.
• Manage networking (VPC, PrivateLink, security groups) and data services (S3, OpenSearch).
• Collaborate with AI engineers on deployment and performance tuning.

Conocimientos

Terraform

Bedrock

IAM

CI/CD

Observability

Python

Docker

ECS/Fargate

API Gateway

OpenSearch

OpenTelemetry

CloudWatch

X-Ray

VPC

Herramientas

GitHub Actions

AWS CodePipeline

OpenTelemetry

OpenSearch

Docker

Lambda

ECS

Bedrock AgentCore

Descripción del empleo

GlobalLogic is looking for an AI Systems Engineer to own the production infrastructure for agentic AI workloads on AWS Bedrock. You will design and operate infrastructure-as-code, secure IAM, and scalable pipelines to deploy and run intelligent agents at scale.

Join a small team reporting to the Global Head of AI Strategy, Policy, and Governance, focusing on cost-effective, reliable cloud solutions and close collaboration with AI engineers on MCP deployments and performance tuning.