Wireless Network Engineer, Enterprise Infrastructure
Listed on 2026-02-19
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Engineering
Systems Engineer
The Enterprise Network Engineering team is responsible for designing, building, and operating one of the largest enterprise networks in the world. Networking is at the core of all Meta products and experiences, and we are looking for Wireless Network Engineers who are interested in solving complex technical challenges in Enterprise Wireless across Office, Datacenter, Retail and Authentication Services domains. The scale of the network and its continuous expansion presents an opportunity to work on and solve interesting engineering challenges.
We constantly push the boundaries of what is possible. We create new and ways of designing and operating our networks and do it at scale with efficiency.
- Contribute to requirement analysis, engineering design, solution development and ongoing management of a multi-vendor enterprise WiFi network infrastructure
- Interface with Info Sec teams to design and continuously deliver security-related enhancements
- Partner with network operations and deployment teams to analyze data and performance metrics to improve reliability and resiliency of the wireless network
- Develop automated methods to mitigate and remediate network events and minimize operational complexity
- Troubleshooting WiFi connectivity and performance issues using WLAN controllers, over-the-air packet capture analysis and spectrum analyzer
- Optimize the network in every way possible
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 5+ years of experience with designing, building, and operating WiFi networks
- Experience with the following technologies/protocols: 802.1X, 802.11, unlicensed Radio Frequency planning (2.4 & 5GHz)
- Experience with Layer 2 Switching protocols and associated enhancements such as STP, LACP, 802.1[d|s|w], or 802.1x etc
- Experience with stateful firewalls, non-stateful filtering and packet inspection
- Experience in programming to automate/build
- Hands-on experience designing, configuring, optimizing WiFi networks with knowledge of RF design and latest 802.11 standards
- Demonstrated knowledge of controller-based & controllerless enterprise wireless architectures, monitoring systems, and RADIUS infrastructure
- Experience working with Enterprise network OEMs hardware (Cisco/Meraki, HPE/Aruba, Mist,Arista)
- Demonstrated knowledge of TCP/IP, IPv4 and IPv6 and related network services (e.g. DHCP and DNS)
- Detailed understanding of tooling and automation to configure, manage and operate the network
- CWNE, CCIE Wireless, ACMX, or equivalent level preferred
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and
* Affirmative Action
* employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
$175,000/year to $243,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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