Lead Cloud Architect

WEX Inc.•Dallas, TX

32d•$195,000 - $260,000

About The Position

We are seeking a highly skilled and motivated Lead Cloud Architect with deep, hands-on expertise across Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). This is a technical, hands-on role for a seasoned expert who will not only design our multi-cloud strategy but also actively participate in its implementation. The ideal candidate is a proficient coder and automation expert who will be responsible for architecting, building, and maintaining our scalable, secure, and resilient cloud infrastructure.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related technical field.
7+ years of experience in a hands-on cloud engineering or architecture role.
Expert-level proficiency in coding and scripting with Python, and infrastructure as code tools like Terraform and Ansible.
Demonstrable experience designing and implementing solutions on AWS, Azure, and GCP.
Proven experience developing and deploying infrastructure for AI solutions using services like AWS SageMaker, Azure Machine Learning, and other related cloud services.
Strong, hands-on experience with containerization and orchestration technologies (Docker, Kubernetes).
Deep understanding of cloud networking, security, and identity and access management (IAM) principles across multiple cloud providers.
Excellent problem-solving skills and the ability to work independently in a fast-paced environment.
Strong communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.

Nice To Haves

Professional-level certifications in at least one major cloud platform (e.g., AWS Certified Solutions Architect Professional, Azure Solutions Architect Expert, Google Cloud Professional Cloud Architect).
Experience in a multi-cloud FinOps or cost management role.

Responsibilities

Multi-Cloud Architecture: Design and implement robust, scalable, and cost-effective cloud-native solutions that span AWS, Azure, and GCP.
Hands-on Development: Act as a senior individual contributor by writing production-quality code for infrastructure as code (IaC), configuration management, and automation. This includes developing and maintaining CI/CD pipelines for cloud deployments.
AI/ML Infrastructure: Architect and deploy infrastructure solutions to support the development and scaling of Artificial Intelligence (AI) and Machine Learning (ML) models, leveraging the native capabilities of AWS and Azure.
Technical Leadership & Governance: Lead the design and review process for new cloud solutions. Establish and enforce architectural standards, best practices, and governance across all cloud platforms.
Automation and Tooling: Drive the automation of cloud operations and management. Develop and maintain tools and scripts using Python, Terraform, and Ansible to build and manage our cloud environments.
Security & Compliance: Integrate security best practices into all aspects of the cloud architecture. Ensure that all cloud solutions meet strict security and compliance requirements.
Mentorship: Provide technical guidance and mentorship to junior engineers, acting as a subject matter expert for all things cloud.