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Principal Cloud Engineer – AI
NBCUniversalPrincipal Cloud Engineer operating secure, reliable cloud infrastructure for Comcast’s AI-enabled and Agentic platforms. Automating deployments, observability, troubleshooting, and production operations.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in cloud infrastructure engineering, particularly with AWS, Azure, or GCP, and proficiency in Infrastructure as Code using Terraform or Ansible. Strong capabilities in Python programming for automation, along with a solid understanding of security fundamentals and AI literacy are essential.
Highest-signal resume keywords
Cloud Infrastructure EngineeringInfrastructure as CodePython ProgrammingCI/CD ToolsSecurity Fundamentals
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 Infrastructure EngineeringInfrastructure as CodePython ProgrammingKubernetesTerraformMonitoring SystemsCI/CD AutomationSecrets ManagementEncryptionDistributed Systems
Soft Skills
Systems ThinkingAdaptabilityCritical ThinkingOperational Ownership
Tools & Technologies
AWSAzureGCPAnsiblePackerAI-Assisted ToolsDatabricksPySpark
Certifications & Qualifications
Bachelor's Degree Preferred
Industry Keywords
AI-Enabled PlatformsAgentic PlatformsCloud OperationsObservability SolutionsOn-Call RotationsProduction ExperienceData PipelinesNetworking Standards
Tech Stack
Tools & technologiesAnsibleAWSAzureCloudDistributed SystemsGoogle Cloud PlatformKubernetesPackerPySparkPythonShell ScriptingTerraform
About the role
Key responsibilities & impact- Design, implement, and operate cloud infrastructure for scalable, highly available AI-enabled and Agentic platforms
- Provision and manage cloud resources using Infrastructure as Code
- Monitor platform health through metrics, logs, dashboards, and alerts
- Troubleshoot and resolve complex cloud, distributed-system, and integration failures
- Develop automation and tooling in Python and shell scripting
- Implement and improve observability solutions
- Collaborate with application, data, and AI teams before and after releases
- Support CI/CD pipelines and safe, repeatable deployments
- Ensure secure cloud operations, including secrets management, access controls, encryption, and secure networking
- Apply AI literacy to understand agent lifecycles, orchestration, and non-deterministic execution
- Use AI-assisted tools for investigation, documentation, and optimization while validating outputs
- Maintain runbooks, platform documentation, and operational standards
- Participate in on-call rotations and serve as an escalation point during production incidents
- Perform other assigned duties
Requirements
What you’ll need- 10+ years of relevant work experience
- Bachelor's Degree preferred, or some combination of coursework and experience, or extensive related professional experience
- Cloud infrastructure engineering experience with AWS, Azure, or GCP
- Kubernetes and container platform experience
- Infrastructure as Code experience with Terraform, Packer, Ansible, or equivalent
- Python programming for automation and operational tooling
- Monitoring, logging, and alerting systems experience
- CI/CD tools and release automation experience
- Security fundamentals, including IAM, secrets management, encryption, and network security
- Strong systems thinking and operational ownership
- Adaptability and critical thinking
- AI literacy covering agent lifecycles, orchestration patterns, and non-deterministic execution behaviors
- Ability to participate in on-call rotations
- Preferred: production experience with AI, ML, or Agentic platforms; data and streaming platforms; PySpark, Databricks, or data pipelines; networking and protocol standards; HSMs or advanced key management; large-scale distributed systems; cloud cost optimization and performance tuning
Benefits
Comp & perks- Personalized benefits options and expert guidance supporting physical, financial, and emotional wellbeing
- Always-on support tools
- Access to a variety of teams, locations, and resources
- Potential remote option for candidates living more than 100 miles from an office, subject to Comcast’s consideration