Lead Wireless Network Operations Engineer
| Company | Comcast |
|---|---|
| Location | Texas, USA, Florida, USA, Remote in USA, Philadelphia, PA, USA, Georgia, USA, Illinois, USA |
| Salary | $111496.15 – $183968.65 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Expert or higher |
Requirements
- 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. The candidate should have good expertise in developing solutions for automated issue remediation.
- 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.
Responsibilities
- 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 to maintain high reliability of the network.
- 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.
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.