Senior Cloud Architect: AI & Data Platform Infra

Intelex Technologies ULC; United States; On-site; USD 137,000 - 229,000; Full time

Job summary

Intelex Technologies ULC is seeking a Principal Cloud Architect to lead cloud strategy, architecture, and platform modernization for our SaaS and AI initiatives. You will partner with Engineering, InfoSec, Data & AI teams to set standards and drive secure, scalable, cost-efficient infrastructure.

Responsibilities span AWS-first cloud architecture, IaC with Terraform, CI/CD, security/compliance, observability, and multi-cloud considerations, guiding engineers and stakeholders toward resilient

Qualifications

• 8+ years in cloud infrastructure, CloudOps, DevOps, or SRE roles supporting highly available SaaS/production platforms.
• 5+ years hands-on AWS architecture experience; AWS Solutions Architect Professional certification preferred.

Responsibilities

• Define and own the cloud architecture vision, standards, and roadmap for Intelex's AWS-first infrastructure.
• Design highly available, secure, and scalable infrastructure across networking, security controls, performance, and cost optimization.
• Architect cloud infrastructure to support AI product portfolio, including scalable model serving and data pipelines.
• Partner with Engineering, InfoSec, and Data & AI teams to set standards and drive execution.

Skills

Cloud architecture

AWS

Terraform

CI/CD

Kubernetes

Security

Cost optimization

Data collaboration

DevOps

Communication

Education

B.S. in Computer Science

Tools

GitHub Actions

Octopus Deploy

Jenkins

New Relic

CloudWatch

Azure Monitor

Job description

Intelex Technologies ULC is seeking a Principal Cloud Architect to lead cloud strategy, architecture, and platform modernization for our SaaS and AI initiatives. You will partner with Engineering, InfoSec, Data & AI teams to set standards and drive secure, scalable, cost-efficient infrastructure.

Responsibilities span AWS-first cloud architecture, IaC with Terraform, CI/CD, security/compliance, observability, and multi-cloud considerations, guiding engineers and stakeholders toward resilient