Brief Summary
Join a dynamic team as an Associate Engineer focusing on network operations, where you will play a pivotal role in ensuring seamless connectivity and optimizing network performance. This position offers a chance to advance your career in a fast-paced technological environment.
Responsibilities
- Monitor the transport network for faults and network infrastructure degradations, taking proactive and reactive remedial actions until resolution. Execute network modifications for expansion, optimization, and upgrades in accordance with established Method of Procedure (MOP). Conduct service impact analysis on scheduled changes, faults, or outages, and communicate updates to relevant stakeholders. Perform both preventive and corrective maintenance, including hardware and software upgrades for network devices. Carry out root cause analysis of hardware and system faults using advanced troubleshooting tools and techniques. Identify improvement opportunities to minimize infrastructure faults and enhance monitoring capabilities. Prepare budgets and track expenditures related to network operations. Document and update records of production network information, incidents, and events. Escalate complex technical issues to engineering teams or vendors, ensuring follow-up until resolution. Undertake other duties and responsibilities as assigned by the supervisor.
Requirements
- Degree or Diploma in Telecommunications, Electrical/Electronic Engineering, or a relevant field. A minimum of 2 years of experience in the telecommunications industry is preferred. Strong analytical and problem-solving skills, with a goal-oriented mindset and a sense of urgency for operational excellence. Capacity to work independently while collaborating effectively within a team. Proficient technical knowledge of IP concepts including LAN, WAN, VPN, and relevant network protocols such as OSPF, ISIS, BGP, SR-MPLS, SRv6, LDP, and DHCP. Familiarity with structured cabling and programming languages such as Python and Java, along with skills in data modeling, machine learning, and deep learning, is advantageous. Availability to participate in a 24x7 duty roster and perform network changes during off-peak hours.
