Senior Network Engineer

LRS Consulting Services is seeking a Senior Network Engineer who enjoys solving complex infrastructure challenges, partnering with business leaders, and building reliable network solutions that support organizational growth. This contract-to-hire opportunity offers the chance to support a large, distributed enterprise environment while driving network modernization, site expansion, and connectivity initiatives across multiple locations.

Location: St. Louis, MO (Contract-to-Hire)

Responsibilities

• Support, maintain, and optimize a Cisco Meraki-based enterprise network environment spanning multiple locations across North America.
• Partner with business stakeholders to understand requirements and translate business needs into scalable network solutions.
• Lead or support office expansions, new site deployments, hardware refreshes, firmware upgrades, and network configuration changes.
• Design, implement, and support solutions related to network redundancy, failover, quality of service (QoS), and high availability.
• Develop and enhance proactive monitoring capabilities to identify and resolve issues before they impact end users.
• Support network operations, troubleshooting, performance optimization, and incident resolution.
• Work within IT service management processes, including ServiceNow ticketing and change management workflows.
• Collaborate with technical teams and business leaders to ensure reliable network connectivity and performance.
• Participate in planned maintenance activities, cutovers, and occasional weekend implementations to minimize business disruption.

Qualifications

• 5+ years of network engineering experience in an enterprise environment.
• 5+ years of experience supporting Cisco Meraki networking solutions and VPN technologies.
• Experience supporting large-scale wired and wireless network environments.
• Experience deploying network solutions from design and implementation through ongoing support.
• Experience monitoring, configuring, and supporting network infrastructure within Microsoft Azure environments.
• Experience implementing and managing Network Access Control (NAC) solutions.
• Strong understanding of network operations, troubleshooting, QoS, redundancy, failover, and high-availability concepts.
• Ability to communicate technical concepts and recommendations clearly to both technical and non-technical stakeholders.
• Experience using ServiceNow or similar IT service management platforms.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent written and verbal communication skills.

Preferred Qualifications

• Experience supporting multi-site enterprise environments, including office expansions and new site deployments.
• Experience supporting audio/video conferencing and collaboration technologies from a networking perspective.
• Experience with Portnox or similar NAC solutions.
• Experience supporting organizations with both small branch offices and larger complex locations.
• Familiarity with network automation and proactive monitoring tools.

The base range for this contract position is $65.00 - $75.00 per hour, depending on experience. The range displayed reflects the minimum and maximum target for new hires of this position across all U.S. locations. Individual pay is determined by work location and additional job-related factors.

LRS Consulting Services is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship, status, or protected veteran status.

In some cases, LRS Consulting Services, uses generative artificial intelligence ("AI") in support of our hiring processes. LRS Consulting Services takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used solely in support of the assessment of candidate qualifications. All hiring decisions are made by LRS employees. If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out.