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Wells Fargo

Senior Network Engineer

Reposted 2 Days Ago
Be an Early Applicant
Hybrid
3 Locations
Senior level
Hybrid
3 Locations
Senior level
Managing and analyzing network performance and capacity, implementing security policies, performing proactive testing, and mentoring team members.
The summary above was generated by AI
About this role:
Wells Fargo is seeking a Senior Network Engineer to join the Network Performance & Capacity Analysis team within the Network Services organization. This role is responsible for leading the oversight and analysis of network performance and capacity across all enterprise network assets, including circuits, devices, and services.
The ideal candidate will play a key role in proactively identifying performance constraints, capacity risks, and service degradation across the network infrastructure. This includes monitoring telecom circuits, network devices, and service delivery metrics to ensure optimal performance and scalability. The role requires strong analytical skills, deep technical understanding of network architectures, and the ability to collaborate across teams to drive resolution and continuous improvement.
In this role, you will:
  • Lead or participate in implementing network security policies across routers and firewalls
  • Manage production networks including Internet Protocol backbone, data centers and edge pops across the globe
  • Ensure the continuous availability of all data network services
  • Identify gaps, risks and issues and navigate organizational structure to resolve them
  • Perform quarterly proactive network testing to ensure proper functioning and reliability of the network
  • Investigate and remediate network capacity related issues
  • Apply knowledge of security and regulatory policies to design and implement foolproof secured network solutions
  • Provide resolution information and work with other teams to complete impact analysis
  • Deliver comprehensive and maintenance plans for change management review and approval
  • Mentor and train network operations team in the installation, configuration, and maintenance
  • Partner cross-functionally with other Product Infrastructure teams in order to continuously improve and apply standards and policies relevant to operational excellence.
Required Qualifications:
  • 4+ years of Network Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 4+ years of Strong foundational knowledge of enterprise network architectures, including telecom circuits, routing, switching, and performance metrics
  • 4+ years of Demonstrated experience in network performance analysis and capacity planning across large-scale environments
  • 2+ years Proficiency in leveraging modern observability and analytics tools to monitor, correlate, and visualize network data (e.g., Grafana, Splunk, Prometheus, Kafka).
Desired Qualifications:
  • Ability to design and implement scalable data pipelines that aggregate and normalize telemetry from diverse platforms and vendors
  • Experience in integrating data across multiple systems to enable predictive insights and automated responses to performance anomalies
  • Familiarity with AI-driven methodologies and agent-based architectures to support proactive engineering and autonomous operations
  • Self-driven and adaptive mindset with a passion for continuous learning and rapid adoption of emerging technologies and tools
  • Understanding of compliance, lifecycle management, and operational hygiene for network assets and monitoring platforms
  • Ability to work independently and collaboratively across teams to drive modernization initiatives and improve service delivery
  • Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
Job Expectations:
  • This position offers a hybrid work schedule
  • This position is not eligible for visa sponsorship.
Posting End Date:
9 Sep 2025
*Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo .
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Top Skills

Grafana
Kafka
Prometheus
Splunk

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