Job at a glance
Junior Network Engineer (CCNP required) - Remote Job, US/Canada, 1+ Year Experience About us: Patterned Learning is an AI-powered 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.
After applying for a position, please follow our page for further updates. Job Description Allow your passion for improving lives to shine in this role where you’ll provide pre- and post-sale technical support in the specialty of routing and switching. You will own services about networks (Solutions Reviews and Health Checks), Connectivity Service Networks (CSN), and Direct Connect Activities – consulting, configuring, implementing, troubleshooting, and maintaining ownership of new services offered by the Hospital Patient Monitoring (HPM) solutions team.
Your role: Acting as the subject matter expert (SME) by collaborating and consulting effectively with sales and service partners, as well as customers and healthcare institutions, to ensure successful integration of solutions into the customer IT environment and to achieve overall business objectives; leveraging insights to drive service innovation leads that align with customer needs. Delivering, deploying, and/or integrating software solutions within the purview of the associated domain for complex IT solutions that carry proprietary real-time life-critical data and are required to reliably output to hospital IT environments.
Participating as a key member of the implementation project and/or support team; fostering collaboration through sharing experiences, information, perspectives, skills, and expertise. Resolving technical issues and offering proactive technical support. Practicing strong configuration management and version control. Documenting solutions to ensure support teams and other consultants can participate in support and onward development.
Contributing to the collective learning, seeking to share knowledge globally; assessing and sharing repeatable processes that can be leveraged across multiple projects. Driving continuous improvements of implementation methodology and service offerings based on customer feedback. You're the right fit if: You’ve acquired 1 year of professional working experience in the IT technologies or electronics industry, preferably in a field or hospital-based service environment.
Experience with patient monitoring, telemetry units, ventilators, and defibrillators is highly preferred. Your skills include network configuration and/or troubleshooting experience, and you have obtained the Cisco Certified Network Professional (CCNP) certification. Significant progress toward professional-level certifications may be considered. Demonstration of skill sets from completion of one or more of the following courses is preferred: ENCOR – Implementing and Operating Cisco Enterprise Network Core Technologies v1.0 DCAC9K – Configuring Cisco Nexus 9K Switches in ACI Mode v3.0 IP6FD – Ipv6 Fundamentals, Design, and Deployment v3.0 ICM – Implementing Cisco Multicast v3.0 CSCGW – Cisco SIP, CUBEs and Gateways You have a bachelor’s degree in computer science, electronics, biomedical, or other related disciplines or an equivalent combination of education and experience.
Special Benefits you will love: Flexible vacation paid unlimited holidays and paid sick days 401(k) with up to 2% employer match Health, vision, and dental insurance Why Patterned Learning AI? By leveraging AI, Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This AI-powered assistance can help reduce coding errors, improve productivity, and accelerate the development process.
The use of AI in 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.