Principal AI Infrastructure & Cloud Engineer

While this is a fully remote role, occasional travel to our Chattanooga, TN headquarters may be required. We are unable to hire candidates who reside in NY, NJ, CA, or MA. Sponsorship is not available for this role.

About the Role

Develop target-state architectures, define enterprise platform strategies, and guide product and engineering teams in delivering scalable, secure, and business-aligned cloud and AI solutions.

Responsibilities

• Provide subject matter expertise on cloud architecture and cloud infrastructure engineering to other IT and business teams.
• Collaborate with various teams across the organization including Product Management, Architecture, Software Engineering, and Infrastructure to operationalize DevOps processes and tools.
• Interpret technical requirements into business requirements and communicate risks to relevant stakeholders ranging from business leaders to engineers.
• Provide succinct diagrams such as high-level design and low-level design documents and workflows, and present to senior leadership as well as technical teams.
• Work with Reliability Engineering teams to implement cloud-specific monitoring tools.
• Work through the project life cycle from design, implementation, cutover, hyper care, and operation transition.
• Participate in problem solving, troubleshooting, and level 3 engineering support of infrastructure and applications as needed.

Requirements

• Bachelor's degree in Computer Science or related field or equivalent years of experience.
• 8 years of Infrastructure Cloud Infrastructure and Software Engineering experience.
• Experience with infrastructure cloud engineering and establishing cloud strategy and architecture at an enterprise level.
• Experience leading large-scale Azure/AWS/GCP migrations and Azure Cloud project delivery, including responsibility for cloud project deliverables, technical and architecture oversight, project delivery approach, and performance—working with delivery and PM teams.
• Experience in Automation and Development best practices related to Cloud application modernization.
• Experience with enterprise network design including segmentation models, encryption, logging, and monitoring.
• Experience with firewalls, network authentication controls, and Linux/Windows operating systems.
• Experience with logging and monitoring tools such as Splunk, New Relic, Logstash, CloudTrail.

Skills

• Deep understanding of Azure (preferred) and/or AWS experience is required.
• Strong knowledge of various aspects of CI/CD practices: Infrastructure Automation, Application Build and Deployment Automation using various leading tools.
• Understanding of Docker/Kubernetes for managing container-based images, their deployment via Kubernetes-based services, DNS/DDI, and networking management.
• Knowledge of Terraform/Ansible, GIT-based products (GitHub, Bitbucket), Azure DevOps/Jenkins, etc., for building pipelines.
• Understanding of cloud security architectures for cloud/hybrid systems.
• Strong troubleshooting skills.
• Strong analytical and communication skills.
• Excellent communication, presentation, architectural articulation, and leadership skills.
• Ability to work with teams with varying levels of technical backgrounds and experiences.