Principal Engineer, Xfinity Mobile Network Operations

Network Operations & Architecture 

• 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. 
• Good working knowledge of OSS/BSS, including but not limited to provisioning gateways, eSIM/SIM provisioning servers, entitlement services and other service assurance functions 
• KPI Analysis & Proactive Analytics 
   

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.

​Dashboard Creation & Network Monitoring

• Design and maintain the dashboards that monitor network health by collecting metrics from various network elements. 
• Real-time visibility of network performance to support quick decision-making on issues at hand. Incident Management & Troubleshooting 

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 to maintain high reliability of the network.  

Sensor Development & Data Collection 

• Develop and deploy sensors in  Python or Golang  that collect data from various internal and external applications. 

• Leverage sensors to improve data gathering with greater accuracy and provide deeper insight into network performance.  

Predictive Analytics & Machine Learning 

•  Design, train, and deploy machine learning models analyzing issues in the network for improving wireless experience. 

• Utilize the models developed for deep root-cause analysis, issue prediction, and improvement in customer experience.  

Requirements:

• Technical expertise: Proficient in E2E data and voice call architecture, OSS/BSS operations, network KPIs, and incident management tooling like ServiceNow.
• Dev Skills: Sensor development and building data extraction for the network in Python or Go.
• Analytical Skills: Strong background in Network Troubleshooting, Log Analysis, and Root Cause Investigation.
• Troubleshooting skills: Strong background in defining KPIs for end-to-end service assurance, define thresholds for alerting to prevent system meltdown. The candidate should have good expertise in developing solutions for automated issue remediation.
• Data Analysis & Machine Learning: 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.
• The candidate should have good expertise in High Availability Architecture to meet the SLAs
• Candidate should have 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

Preferred Qualifications 

• 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.