This is a remote position.
Junior Network Infrastructure Technician (US) - Remote Job, 1+ Year Experience
Annual Income: $55K - $65K
About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.
About the position:
This position involves working with the State's complex voice, video, cellular, and data network as well as telephony providers to provide services to the state agencies statewide. This includes configurations of services on the Cisco Call Manager, Unity, Telephony provider Switches, Voice Mail, and various website portals that support Unified Communications, Toll-Free, Cellular, Bis com, and landline services. The individual will be responsible for assisting with the Herschel ticketing system, group email, and hunt group calls.
What you’ll do:
• Move, Adds, Change, and Deletes (MACD) of Unified Communications (UC).
• Ordering devices for State Agencies for cellular.
• Programming for UC.
• Maintaining Billing of services.
• Assisting with UC Conversions.
• Ordering of Circuits to include MPLS. Ethernet, Broadband, and DSL.
• Toll-Free provisioning.
All you need for success:
• This position will work within various vendor websites and the Cisco suite of products.
• The position requires both verbal and writing skills as well as being detail-oriented.
• Individuals must be reliable and adaptive to change.
• Much of this will be on-the-job training due to the uniqueness of the state's system.
• The job will include addressing questions/tickets as a help desk function.
Why Patterned Learning LLC?
Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.
The pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation
