Search Remote Jobs

Network Engineer

Job not on LinkedIn

🔥 0 minutes ago

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Trexon

Trexon

501 - 1000 employees

🏭 Manufacturing

📡 Telecommunications

đź”§ Hardware

Manufacturing • Telecommunications • Hardware

Trexon is a company providing high-performance wire and cable solutions, specializing in interconnectivity solutions designed for demanding and rugged conditions. Formed from the merger of top wire and cable companies, Trexon innovates and delivers specialized products tailored for challenging connectivity problems, especially in mission-critical applications. Trexon works closely with customers to ensure that their solutions increase performance and maximize uptime, fostering a partnership beyond just sales. As a portfolio company of Audax Private Equity, Trexon continues to expand its capabilities through constant innovation and acquisition, such as the acquisition of Conexsmart.

đź“‹ Description

• Design comprehensive networking solutions for each business unit. • Configure and install network devices and services, such as switches, firewalls, VPNs, wireless access points. • Monitor and troubleshoot network performance and connectivity issues. • Perform network maintenance and system upgrades outside of core business hours. • Implement and enforce network security policies and best practices. • Collaborate with peer engineers and vendors to resolve network problems. • Document network architecture, configuration, and procedures. • Travel as needed to set up or maintain compute and networking systems. • Provide on-call support for network emergencies.

🎯 Requirements

• Bachelor's Degree in Computer Science, Information Technology, or equivalent degree / practical working experience. • 4+ years of overall experience in midsize or enterprise-scale Information Technology (IT) programs. • 2+ years proven experience in Network Engineering or Architecture. Senior/Lead experience a plus. • Solid understanding of networking protocols and technologies, such as TCP/IP, IPSEC, OSPF, BGP, QoS, etc. • Hands-on experience with network devices and tools from vendors such as Cisco, Meraki, Palo Alto, Fortinet, Auvik, DataDog, Wireshark, etc. • Excellent troubleshooting and problem-solving skills. • Demonstrable skill at communicating complex ideas. • Exceptional ability to generate documentation for both end-users and IT peers. • Effective ability to deliver solutions in a timely manner, keeping commitments, meeting dependencies, and aligning to critical priorities.

🏖️ Benefits

• Health insurance • 401(k) plan • Paid time off • Flexible work arrangements • Professional development opportunities

Apply Now

Similar Jobs

🔥 5 minutes ago

Ascension

10,000+ employees

🏥 Healthcare

🤝 Non-profit

Senior Network WAN Engineer optimizing network environments and ensuring high-performance connectivity across distributed locations. Working within Ascension's healthcare system to improve WAN operations.

🔥 10 minutes ago

Beth Israel Lahey Health

10,000+ employees

🏥 Healthcare

⚕️ Healthcare Insurance

Enrollment Specialist overseeing enrollment of providers with non-commercial payers. Key responsibilities include document preparation and ensuring compliance with government regulations.

🔥 16 hours ago

Health Care Service Corporation

10,000+ employees

🛡️ Insurance

đź’Ľ Consulting

🏥 Healthcare

Responsible for provider recruitment and contracting activities for a healthcare organization. Develops relationships and negotiates contracts with healthcare providers in assigned territories.

đź•’ Yesterday

STN Incorporated

11 - 50

🏢 Enterprise

đź”’ Cybersecurity

đź”§ Hardware

Senior Network Engineer designing and operating high-performance networking fabric for GPU clusters. Focused on InfiniBand and RoCE architectures for training workloads.

đź•’ Yesterday

Material Group

2 - 10

🎯 Recruiter

🚀 Aerospace

⚡ Energy

Network Engineer managing the network powering large-scale AI training and inference. Involves design, architecture, and performance driving across compute nodes.