Network Specialist

Network L3 Engineer for DC Network Load Balance Team

Job Description:

• 10-15 years of work experience in Networking domain.
• Listening to internal teams’ issues or business challenges and working to find technological solutions for load balancing impacts/issues. Finding solutions to “unsolvable” problems.
• Working on complex problems that require a deep understanding of load balancing and web application firewalls.
• Supporting a hybrid environment consisting of on-prem and cloud deployments.
• Testing iterations of hardware, configurations, Virtual Editions, and software (code upgrades) in lab environments.
• Write scripts or work to resolve support issues, automate infrastructure deployment, and collect metrics.
• Provide low level technical documentation of network solutions.
• Be an expert trusted advisor for software teams, infrastructure teams and external vendors.
• Experience designing and supporting network infrastructure components.
• Extensive knowledge of F5 LTM, GTM, APM, IPI, and WAF.
• Knowledge of HAProxy open source load balancers.
• Extensive experience operating, maintaining, and troubleshooting large scale network deployments.
• In-depth knowledge of iRules, geo-blocking, CDN, and security threat vectors.
• In-depth knowledge of Splunk, TCP/IP protocols, and the ability to analyze packet captures.
• Knowledge of Maul and Grafana.
• Basic Linux operations.
• Hands-on programming experience with shell scripting, Perl, or Python.
• Ability to work autonomously, set standards, and work directly with software teams.
• Current experience in which high levels of initiative, judgment, and tact have been demonstrated.
• Strong written and oral communication skills
• Collects and analyzes information to identify customer's technical needs, suggest solutions and develop implementation and integration plans (e.g., technical proposals)
• Responsible for the analysis, design, deployment, support, and security of technology to ensure the organization is efficiently managing its technology and data-related assets in accordance with market best practices and external regulations.