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Principal AI Infrastructure – Cloud Engineer
BlueCross BlueShield of TennesseePrincipal AI Infrastructure & Cloud Engineer defining enterprise platform strategies for BCBST. Collaborating with teams to deliver scalable cloud and AI solutions while guiding engineering efforts.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing enterprise cloud strategies and architectures, with a strong focus on Azure and AWS migrations. Proficient in automation, CI/CD practices, and infrastructure design, ensuring scalable and secure cloud solutions.
Highest-signal resume keywords
Cloud Strategy DevelopmentAzure/AWS/GCP MigrationsInfrastructure Cloud EngineeringCI/CD PracticesDocker/Kubernetes Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud InfrastructureSoftware EngineeringAutomation Best PracticesEnterprise Network DesignLogging and Monitoring ToolsLinux Operating SystemWindows Operating SystemTerraformAnsibleGIT
Soft Skills
CollaborationProblem SolvingCommunication
Tools & Technologies
Azure DevOpsJenkinsSplunkNew RelicLogstashCloudTrail
Industry Keywords
Enterprise ArchitectureCloud SolutionsInfrastructure DesignSecurityMonitoring
Tech Stack
Tools & technologiesAnsibleAWSAzureCloudDockerFirewallsGoogle Cloud PlatformJenkinsKubernetesLinuxLogstashSplunkTerraform
About the role
Key responsibilities & impact- Develop target-state architectures and define enterprise platform strategies.
- Guide product and engineering teams in delivering scalable, secure, and business-aligned cloud and AI solutions.
- Collaborate with various teams including Product Management, Architecture, Software Engineering, and Infrastructure.
- Interpret technical requirements into business requirements and communicate risks to stakeholders.
- Provide diagrams such as high-level design and low-level design documents.
- Work with Reliability Engineering teams to implement cloud specific monitoring tools.
- Participate in problem solving, troubleshooting and level 3 engineering support of infrastructure and applications.
Requirements
What you’ll need- Bachelor's degree in Computer Science or related field or equivalent years of experience is required.
- 8 years - 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.
- 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.
- Deep understanding of Azure (preferred) and/ or AWS experience is required.
- Strong knowledge of various aspects of CI/CD practices.
- Understanding of Docker/Kubernetes for managing container-based images, their deployment.
- Knowledge of Terraform/Ansible, GIT based products, Azure DevOps/Jenkins.
Benefits
Comp & perks- Competitive salary
- Flexible working hours
- Professional development budget
- Home office setup allowance
- Global team events