Lead Network Automation Engineer (NETDEV)

  • Full-time
  • Job Family Group: Technology and Operations

Company Description

 As the world’s leader in digital payments technology, Visa’s mission is to connect the world through the most creative, reliable and secure payment network - enabling individuals, businesses, and economies to thrive. Our advanced global processing network, VisaNet, provides secure and reliable payments around the world, and is capable of handling more than 65,000 transaction messages a second. The company’s dedication to innovation drives the rapid growth of connected commerce on any device, and fuels the dream of a cashless future for everyone, everywhere. As the world moves from analog to digital, Visa is applying our brand, products, people, network and scale to reshape the future of commerce.

At Visa, your individuality fits right in. Working here gives you an opportunity to impact the world, invest in your career growth, and be part of an inclusive and diverse workplace. We are a global team of disruptors, trailblazers, innovators and risk-takers who are helping drive economic growth in even the most remote parts of the world, creatively moving the industry forward, and doing meaningful work that brings financial literacy and digital commerce to millions of unbanked and underserved consumers.

You’re an Individual. We’re the team for you. Together, let’s transform the way the world pays.

Job Description

As Senior Staff Systems Engineer, Network Performance and Analytics, your primary responsibility will be to focus on improving network monitoring, create visualization tools that help Tier 1 and 2 engineers identify network problems from large set of events and alerts. This position is critical for maintaining high uptime for VISA network. You will be working very closely with network operations, engineering and monitoring team to develop world class tools to auto remediate network events.  Our customers want higher availability, more visibility, better network performance , root cause analysis, and prediction of failures. This position will help build the best-in-class Network that can  provide performance monitoring, what-if analysis, root cause analysis, prediction for global network infrastructure.

Qualifications

Basic Qualifications

  • 10 years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/MBA/JD/MD) or at least 3 years of work experience with a PhD

Preferred Qualifications

  • 15-18 years of experience with a Bachelor’s Degree or

  • 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD or PhD)

  • Prior experience in next-generation network/product architecture design for large-scale network deployments for high-volume, high-availability consumer-facing and B2B network interactions

  • Experience working with highly-effective engineering teams through major technology transitions

  • Prior experience in driving and leading enterprise technology and cultural transformation programs

  • Demonstrated technical knowledge of networking technologies and solid understanding of the software-defined networking ecosystem

  • Prior experience in a dedicated role around defining network strategy

  • Demonstrated consistent and steady growth in career

  • Prior experience in non-Cisco networking technologies

  • Hands-on experience in designing and deploying large scale-out network technologies

  • Experience in managing cost-reduction programs

  • Great communicator and able to drive consensus across diverse/global technology teams

  • Track record in developing next-generation leaders

  • Demonstrated successful experience with metrics/KPI-based deliverables with accountability

  • Knowledge of networking technologies including monitoring services

  • Network programming using Ansible, Python

  • Prior experience with datacenter monitoring and management

  • Networking Technologies such as SNMP, Netflow, Flow analysis, BGP

  • Experience developing service oriented systems, REST, python

  • Exposure to Hadoop, Spark, Kafka, Storm, Ganglia, Nagios, openTSDB, Elasticsearch or other distributed compute platforms

  • Hands on expertize on commercial network monitoring tools.

Additional Information

Essential Functions:

  • Responsible for supporting and optimizing a large scale, complex, high performance network

  • In-depth knowledge of internet architectures and associated routing, switching, load balancing and security technologies are required.

  • Identify, Automate, and improve Operational processes, mitigate and eliminate potential risk, defects, trends for a rapid scale of the environment

  • Ensure network agility without compromising quality

  • Strong understanding of Network Monitoring, developing visualization and reporting capabilities

  • Programmatically analyze network incidents/ Alerts and develop automated solutions for close loop remediation.

  • Integrate health monitoring of underlying infrastructure to application services and their dependencies by BU group

  • A high level understanding of multi-tiered application traffic flow, server load balancing, global load balancing, and firewalls

  • Audit and assess network for requirements and best practices.

  • Participate fully in the development, testing and QA functions to ensure that projects are securely delivered and fulfill expectations

  • Provide technical consultancy to ensure problem resolution is achieved in the shortest possible time frame

Work Hours: 

  • Incumbent must make themselves available during core business hours.

Travel Requirements:

  • This position requires the incumbent to travel for work 5% of the time.

Physical Requirements:

  • This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers, reach with hands and arms, and bend or lift up to 25 pounds.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

 

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