Principal Cloud Engineer - AI Agentic

Comcast

Quick summary

Work type
On-site
Location
West Chester, PAPhiladelphia, PA
Posted
1 day ago
Nearby
99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $198k
$138k most similar roles pay here $245k

This listing doesn't post a salary. Most similar roles pay $160,100–$235,000.

Based on 240 similar postings.

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About Comcast

Comcast is an American telecommunications and media conglomerate, providing cable TV, internet, and phone services under the Xfinity brand, and owning NBCUniversal.

Comcast currently has 42 open roles on FindRole.

Listed pay typically runs $129,515–$195,779 across 22 roles with salary data.

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At a glance

TL;DR · Principal Cloud Engineer - AI Agentic

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As a Principal Cloud Engineer on the AI Agentic team, you will design and operate cloud infrastructure to support scalable, highly available AI-enabled platforms. Your day-to-day responsibilities include implementing Infrastructure as Code practices with tools like Terraform and Ansible, monitoring platform health using metrics and logs, and developing automation scripts in Python and shell for operational efficiency. You will also collaborate closely with engineering teams to ensure platforms are operable and observable before and after release, support CI/CD pipelines, and maintain secure cloud operations. The role requires expertise in AWS, Azure, or GCP, Kubernetes, monitoring systems like Prometheus and Splunk, and foundational AI literacy to understand agent lifecycles and orchestration patterns. This position is ideal for someone with over 10 years of experience who can contribute to the reliability, security, and scalability of agentic platforms at a large scale.

Skills

AWS Kubernetes Terraform Python Prometheus CI/CD Grafana Ansible Infrastructure as Code Monitoring Logging Alerting Systems Security Fundamentals IAM Secrets Management Encryption Network Security

What you'll do

  • Design and implement cloud infrastructure for scalable, highly available AI-enabled platforms.
  • Apply IaC practices to provision and manage secure cloud resources consistently.
  • Develop automation and tooling to improve reliability and operational efficiency.
  • Implement observability solutions to enhance system transparency and alert quality.
  • Ensure secure cloud operations including secrets management and access controls.
  • Collaborate with teams to ensure platforms are operable, observable, and scalable.
  • Participate in on-call rotations and act as an escalation point during incidents.

What we're looking for

  • 10+ years of experience in cloud infrastructure engineering (AWS, Azure, or GCP)
  • Expertise in Kubernetes and container platforms with hands-on implementation
  • Proficiency in Infrastructure as Code practices using Terraform, Packer, Ansible
  • Strong Python programming skills for automation and operational tooling
  • Experience with monitoring, logging, and alerting systems like Prometheus, Splunk
  • Knowledge of CI/CD tools and release automation processes
  • Solid understanding of cloud security fundamentals including IAM and encryption

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