Find & Apply For Network Engineer / Architect Jobs In Burke, North Carolina
Network Engineer/Architect positions in Burke, North Carolina involve designing, implementing, and maintaining network infrastructure. Responsibilities include analyzing network performance, troubleshooting issues, and collaborating with teams to ensure efficient operations. These professionals need strong technical skills, communication abilities, and problem-solving capabilities to succeed in this role. Below you can find different Network Engineer/Architect positions in Burke, North Carolina.
Jobs in Burke
Browse jobs from a variety of sources below, sorted with the most recently published, nearest to the top. Click the title to view more information and apply online.
Latest Jobs in Burke
Salary Information & Job Trends In this Region
Network Engineers/Architects in Burke, North Carolina play a crucial role in designing and maintaining efficient and secure network infrastructures for businesses and organizations. - Entry-level Network Engineer salaries range from $50,000 to $65,000 per year - Mid-career Network Architect salaries range from $70,000 to $90,000 per year - Senior-level Network Manager salaries range from $95,000 to $120,000 per year The history of Network Engineers/Architects in Burke, North Carolina dates back to the early days of computer networking, where professionals focused on connecting computers within a local area network (LAN) environment. As technology advanced, the role expanded to include wide area network (WAN) design and implementation. The evolution of Network Engineers/Architects in Burke, North Carolina has seen a shift towards cloud-based solutions, virtualization, and software-defined networking. Professionals in this field now work with cutting-edge technologies to build scalable and resilient network infrastructures that meet the demands of modern organizations. Current trends in the field of Network Engineering/Architecture in Burke, North Carolina include a focus on cybersecurity, automation, and the integration of Internet of Things (IoT) devices. Professionals are also exploring the potential of artificial intelligence and machine learning to optimize network performance and security.
