Network Engineer - Technology and Product

Comcast Comcast · Media · Mount Laurel, PA - Philadelphia, NJ

This Network Engineer role focuses on designing, developing, and maintaining network site planning and equipment deployment, with a strong emphasis on Python-based automation for network auditing, deployment, and release management. The role involves integrating data from various sources, building monitoring solutions, and designing AI-assisted tools to enhance internal engineering workflows and software development lifecycle. It also includes executing mass configuration deployments, audits, and developing automated frameworks for data validation and anomaly detection within network operations.

What you'd actually do

  1. Designing, developing, and maintaining Python‑based automation to improve the efficiency, accuracy, and scalability of network auditing and deployment processes.
  2. Developing and supporting large‑scale release management platforms to audit, validate, and deploy configuration changes across tens of thousands of multi‑vendor network devices.
  3. Integrating data from multiple sources—including network telemetry, audits, and configuration templates—to deliver actionable operational insights.
  4. Building and maintaining dashboards and monitoring solutions to track network health, compliance, and migration readiness across legacy and next‑generation networks.
  5. Designing and implementing AI‑assisted tools to support internal engineering teams and enhance software development lifecycle workflows.

Skills

Required

  • Python for automation, data processing, and system integration
  • DevOps and cloud-native practices, including container orchestration and CI/CD pipelines
  • Database and data management skills, including SQL-based and NoSQL technologies
  • Data visualization and monitoring platforms
  • Network configuration management and automation across multi-vendor network environments
  • Communication skills

Nice to have

  • Bachelor's or Master's degree in computer science, Data Science, or a related engineering or technical discipline

What the JD emphasized

  • Python-based automation
  • large-scale release management platforms
  • tens of thousands of multi-vendor network devices
  • AI-assisted tools