Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

Location: Dallas, Texas

Type: Dallas:IT:Direct Hire

Job #11067

Principal Cloud Architect 11067

The ideal candidate combines deep hands-on cloud engineering expertise with strong architectural leadership. This is a senior individual-contributor role focused on cloud strategy, infrastructure automation, Kubernetes, security, and emerging AI technologies.

Key Responsibilities

Define and implement cloud architecture standards, governance frameworks, and security controls across AWS and Azure.

Design scalable multi-cloud environments, including landing zones, networking, hybrid connectivity, and Kubernetes platforms (AKS/EKS).

Establish Infrastructure as Code (IaC) standards using Terraform and drive cloud automation initiatives.

Architect cloud networking solutions, including routing, private connectivity, DNS, and network security.

Develop cloud data platform architectures supporting enterprise analytics and data processing.

Design infrastructure supporting AI/ML workloads, GPU computing, model inference, and AI-driven automation.

Implement DevSecOps best practices, cloud security standards, and policy-as-code controls.

Provide technical leadership, architecture reviews, and mentorship to cloud engineering teams.

Collaborate with senior leadership to communicate technical strategies, architectural decisions, and risks.

Develop architecture documentation and operational standards to support scalable cloud environments.

Required Qualifications

Extensive experience in cloud engineering and senior-level cloud architecture.

Strong hands-on expertise with AWS and Azure in enterprise environments.

Experience designing and managing Kubernetes platforms (AKS/EKS) at scale.

Advanced knowledge of cloud networking, security, and hybrid connectivity.

Strong proficiency with Terraform and Infrastructure as Code .

Experience implementing cloud governance, security guardrails, and policy-as-code.

Knowledge of DevSecOps, cloud automation, and identity management.

Proven ability to influence technical teams and communicate with senior stakeholders.

Preferred Qualifications

Experience with HPC, GPU infrastructure, or large-scale computing environments.

Knowledge of AI/ML infrastructure, model serving, and AI-driven automation.

Experience with enterprise cloud data platforms.

Background supporting regulated or high-availability environments.

Bachelor’s degree in Computer Science, Engineering, or equivalent experience.

CCNA or equivalent networking knowledge.

Certifications

One or more preferred:

Microsoft Certified: Azure Solutions Architect Expert

AWS Certified Solutions Architect (Associate or Professional)

Role Structure

This is a hands-on, senior individual-contributor position responsible for setting cloud architecture direction and guiding engineering teams. The role emphasizes technical decision-making, platform design, and architectural leadership rather than direct people management.

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