Lead Wireless Network Operations Engineer

  • Philadelphia, PA
  • Posted 60+ days ago | Updated moments ago

Overview

Remote
On Site
USD 111,496.15 - 183,968.65 per year
Full Time

Skills

Media
Cellular
SIM
Provisioning
Servers
Analytics
Network Administration
Network Monitoring
Real-time
Decision-making
Management
Data Collection
Golang
Root Cause Analysis
Customer Experience
Operations Support Systems
Business Support Systems
Incident Management
Sensors
Data Extraction
Python
Analytical Skill
Log Analysis
ROOT
KPI
Service Assurance
Data Analysis
Wireless Communication
User Experience
Visualization
Dashboard
Grafana
Elasticsearch
High Availability
Load Balancing
DNS
Dragon NaturallySpeaking
Routing
Continuous Integration and Development
Cloud Computing
IaaS
Wireless Networking
Network
Kubernetes
Machine Learning (ML)
Predictive Analytics
Network Operations
Inventory
Telecommunications
ServiceNow
Sales
SAP BASIS
Law

Job Details

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You'll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary
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.

Job Description
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.

We are open to considering remote candidates currently based in the United States, with preference for those in Eastern Time Zone.

Key Responsibilities:

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.

Disclaimer:
  • This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Comcast is an EOE/Veterans/Disabled/LGBT employer.

Skills
Mobile Telecommunications, ServiceNow Platform, Technical Solutions, Troubleshooting

Compensation
This job can be performed in Illinois with a Pay Range of $111,496.15 - $183,968.65

Comcast intends to offer the selected candidate base pay dependent on job-related, non-discriminatory factors such as experience. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Education
Bachelor's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Certifications (if applicable)

Relevant Work Experience
10 Years +

Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.