Level

EDGE Group

System Engineer II

AI in this role

External Job Description

MAJOR DUTIES AND RESPONSIBILITIES

•    Strong experience in managing Windows Server systems, including installation, configuration, and maintenance.
•    Solid knowledge of networking protocols: TCP/IP, DNS, DHCP, VPN, VLAN.
•    Experience with monitoring and maintenance tools, including performance monitoring, backup solutions, and troubleshooting.
•    Proficient in virtualization technologies (VMware, Hyper-V) and capable of managing virtual environments efficiently.
•    Ability to manage and operate systems on-premises and in the cloud (Hybrid Environment).
•    Experience in storage systems management, including SAN/NAS, storage allocation, and performance optimization.
•    Design and implement Disaster Recovery (DR) strategies, backup planning, and business continuity procedures.
•    Participate in system architecture and design, ensuring scalability, reliability, and security of IT infrastructure.
•    Experience in managing and operating data center environments, including servers, racks, power, cooling, and network infrastructure.
•    Strong problem-solving and analytical skills to troubleshoot complex technical issues.
•    Support other employees of the IT section in fulfilling their roles and provide technical guidance.
•    Ensure compliance with all safety, housekeeping, and environmental directives.
•    Perform system upgrades, patching, and optimization to maintain high availability and performance.
•    Evaluate and recommend new technologies to improve IT infrastructure and services.

 

MINIMUM QUALIFICATIONS


•  Bachelor’s degree in Computer Science or Computer Engineer or a related field in IT.
•  Minimum of 5–7 years of experience in managing Windows Server systems, networking, virtualization, and hybrid cloud environments.

•  Professional certifications such as MCSA or MCSE are required; additional certifications (e.g., VMware, Azure, CCNA) are a plus.

 

How we rate this

System Engineer II at EDGE Group rates 29 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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