This job post has expired on April 11, 2026. It is likely that the position has already been filled.
Network Lab Engineer II at Mercor
posted 7 months agoNetwork Lab Engineer II | $55–75/hr | Menlo Park, CA (On-Site)
Join a fast-paced, high-impact team as a Network Lab Engineer II, where you'll be responsible for bringing up and maintaining a cutting-edge network lab environment. You'll work closely with software engineering teams to ensure reliable infrastructure for testing and validation of network equipment.
Key Responsibilities
- Integrate and troubleshoot new network equipment in a lab setting
- Coordinate delivery and installation of new hardware and products
- Test and validate switch testbeds for software engineering teams
- Maintain accurate and up-to-date lab inventory records
- Ensure a stable and reliable network lab environment for cross-functional teams
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, or a related field
- 4+ years of hands-on experience in a network or systems engineering role
- Familiarity with routers, switches, firewalls, and lab equipment
- Strong understanding of IP addressing (DHCP, SLAAC, Static IP), VLANs, and subnets
- Experience with Cisco IOS and Juniper JUNOS
- Knowledge of network management protocols: SSH, Telnet, HTTP/HTTPS
- Understanding of break/fix concepts, console access, and SCM modules
- Basic knowledge of power supply requirements (PSU/PDU/Voltage)
- Experience with inventory management systems
- Excellent troubleshooting, communication, and organizational skills
Preferred Qualifications
- Prior experience in a dedicated network lab environment
- Knowledge of lab safety procedures and best practices
This is a W-2 employment opportunity administered by Cincinnatus, an enterprise staffing company placing skilled professionals within leading technology client teams. This is not a freelance or project-based role.
How to apply for this role
- Upload your resume — keep it up-to-date and in English. Mercor will auto-fill your profile from it.
- Complete the AI interview — a 15-minute conversation about your experience. Be ready to discuss specific projects and challenges you've solved.
- Submit your application — only about 20% of applicants finish all the steps, so completing yours puts you well ahead.