Senior Cloud Architect — AI-Driven Platform & Security

Dnb

Austin (TX)

On-site

USD 140,000 - 220,000

Full time

14 days+
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Benefits offered by this job

Generous PTO
Parental leave
Education assistance
401k matching
Health insurance
Volunteer days

Job summary

Dun & Bradstreet in Austin, TX is seeking a Distinguished Cloud Architect to lead centralized engineering practices for cloud platforms. You will shape reference architectures, implement secure IaC patterns, and guide DevSecOps across GCP and AWS.

You will mentor teams, partner with security, and communicate roadmaps to executives while designing scalable, compliant cloud solutions for large-scale data platforms.

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • 15+ years in technology with 5+ years as a Cloud Architect.
  • Expertise in GCP and/or AWS with data platforms experience.
  • Hands-on with DevOps/DevSecOps, IaC and containerization.
  • Strong communication to executives and cross-functional teams.

Responsibilities

  • Lead centralized engineering practices for cloud platforms.
  • Develop reference architectures and baseline implementations.
  • Guide secure abstraction-layer and IaC solutions for rapid cloud deployment.
  • Mentor engineers and collaborate with security and risk teams.
  • Plan roadmaps and partner with AI-driven solution initiatives.

Skills

Cloud architecture
GCP
AWS
Terraform
Docker
Kubernetes
CI/CD
DevSecOps
GenAI / RAG
IAM / security models
Python / Java / PHP

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform
Docker
Kubernetes
Cloud Build
BigQuery
Cloud SQL

Job description

Dun & Bradstreet in Austin, TX is seeking a Distinguished Cloud Architect to lead centralized engineering practices for cloud platforms. You will shape reference architectures, implement secure IaC patterns, and guide DevSecOps across GCP and AWS.

You will mentor teams, partner with security, and communicate roadmaps to executives while designing scalable, compliant cloud solutions for large-scale data platforms.

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