Senior AI Infrastructure – Cloud Engineer

This is a fully remote position, open to applicants in Tennessee.

📋 Description

• Take on a technical leadership role, overseeing the installation and support of cloud software and services.

• Automate infrastructure and services utilizing Infrastructure as Code along with CI/CD pipelines.

• Propose and design cloud services and tools that align with business requirements, performance metrics, security, and budget considerations.

• Create technical solutions following Agile methodologies.

• Conduct daily operations for cloud infrastructure, which includes monitoring, responding to alerts, and troubleshooting issues.

• Advise architecture and development teams on system designs as well as the comparison between on-premises and cloud environments.

• Assess and transition appropriate on-premises systems to cloud-based platforms.

• Construct highly redundant environments to ensure performance, uptime, scalability, and business continuity.

• Keep infrastructure documentation, technical procedures, operations manuals, and best-practice guidelines up to date.

• Instruct teams on new cloud initiatives and provide support for the environment.

⛳️ Requirements

• A Bachelor's degree in Computer Science or a related field, or an equivalent combination of experience is mandatory.

• A minimum of 5 years’ experience in Cloud Infrastructure and Software Engineering.

• Familiarity with enterprise AI platforms such as Azure AI Foundry and/or Google Gemini Enterprise is essential.

• Experience in multi-cloud architecture, specifically with Azure and GCP.

• Knowledge of enterprise network design, including segmentation models, encryption, logging, and monitoring practices.

• Proficiency with firewalls, network authentication controls, and both Linux and Windows operating systems.

• Experience with logging and monitoring tools including Splunk, New Relic, Logstash, and CloudTrail.

• Comprehensive understanding of Azure and/or GCP.

• Strong expertise in CI/CD practices, infrastructure automation, and application build and deployment automation.

• Familiarity with Docker/Kubernetes for managing container images and deploying them via Kubernetes-based services.

• Knowledge and experience with Terraform/Ansible, Git-based products, Azure DevOps/Jenkins, and pipeline development.

• Understanding of cloud security architectures for both cloud and hybrid systems.

• Exceptional troubleshooting, analytical, and communication skills.

• Sponsorship is not available.

• Candidates must reside in an approved U.S. state; BCBST is unable to hire candidates from California, Massachusetts, New Hampshire, New Jersey, or New York.

🏝️ Benefits

• Fully remote position.

• Remote-first organization.

• Primarily work from home.

• Eligible for relocation assistance if the position necessitates moving to Chattanooga, TN.