Lead Wireless Network Operations Engineer

Tpx-posted 8 months ago
$111,496 - $183,968/Yr
Full-time • Senior
Philadelphia, PA
Merchant Wholesalers, Durable Goods
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Our analysts transform data into meaningful insights that drive strategic decision making. They analyze trends, interpret data, and discover opportunities. Working cross-functionally, they craft narratives from the numbers - directly contributing to our success. Their work influences key business decisions and shape the direction of Comcast. Our Xfinity Wireless network team is looking for a professional Mobile Wireless Network Operator with profound skills in E2E data and voice call architecture, operations, and management of OSS/BSS functions to join our continued growth. The ideal candidate possesses knowledge of KPI analysis, incident management, and dashboard development, complemented by technical capabilities in developing sensors and applying machine learning models for proactive analysis of network issues. This is an opportunity to work on the cutting edge of mobile network operations, applying both technical and analytical skills to enhance network performance and customer experience.

  • Operate, maintain, and optimize the mobile wireless network, focusing on E2E data and voice call architecture.
  • Operate and manage OSS/BSS functions to ensure smooth network operations.
  • Analyze network KPIs for trending, extracting actionable insights, and conducting proactive network management.
  • Design and refine meaningful KPIs from network metrics for improving monitoring and predictive analytics.
  • Design and maintain the dashboards that monitor network health by collecting metrics from various network elements.
  • Utilize incident management tools, such as ServiceNow, to track, manage, and resolve network incidents.
  • Investigate network issues through log analysis and root cause inference using advanced skills in troubleshooting.
  • Develop and deploy sensors in Python or Golang that collect data from various internal and external applications.
  • Design, train, and deploy machine learning models analyzing issues in the network for improving wireless experience.
  • Proficient in E2E data and voice call architecture, OSS/BSS operations, network KPIs, and incident management tooling like ServiceNow.
  • Sensor development and building data extraction for the network in Python or Go.
  • Strong background in Network Troubleshooting, Log Analysis, and Root Cause Investigation.
  • Strong background in defining KPIs for end-to-end service assurance, define thresholds for alerting to prevent system meltdown.
  • Create and train models that analyze issues within the network and work to improve wireless user experience.
  • Experience in dashboarding and visualization in building and maintaining dashboards to visualize network health and key metrics using Grafana, Elasticsearch and Prometheus.
  • Good expertise in High Availability Architecture to meet the SLAs.
  • Hands-on expertise on Load balancing architecture, DNS routing policies and upgrade architecture for micro services using CICD pipelines for on-premise and cloud workloads.
  • Excellent exposure in developing secure End to End architecture in public cloud infrastructure.
  • Experience in a wireless network and deep understanding of network functions and their metrics.
  • Good understanding of Kubernetes (Managed or Self-hosted) is an added advantage.
  • Machine learning tool and framework experience to drive predictive analytics into network operations.
  • Paid Time off
  • Physical Wellbeing
  • Financial Wellbeing
  • Emotional Wellbeing
  • Life Events + Family Support
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