Network Design Engineer

GOOGLE ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading technology company in Singapore seeks a Network Engineer to support the global production network. You will produce plans and design enhancements to ensure reliable network performance. The ideal candidate holds a bachelor's degree in Computer Science or Engineering and has at least 3 years of experience with network protocols and programming (C++, Go, or Python). The role emphasizes innovation and automation in network planning, aiming to improve efficiency and reliability for millions of users.

Qualifications

• Bachelor's degree in a relevant field or equivalent experience.
• 3 years of experience with network routing protocols and troubleshooting.
• Experience in programming languages like C++, Go, or Python.

Responsibilities

• Produce plans and designs for Google’s global production network.
• Communicate with partners to gather requirements for network capacity.
• Incorporate new solutions into existing plans and designs.
• Create automation tools/scripts for network planning.
• Establish policies in network designs to improve performance.

Skills

Network routing protocols

C++

Go

Python

Problem solving

Data analysis

Education

Bachelor's degree in Computer Science or Engineering

Job description

Job description

Google is proud to boast a network that provides service to millions of Internet users around the world. The Network Engineering team is responsible for operating that network reliably and at scale. As a member of the team, you have a direct impact on design and feature enhancements to keep our systems running smoothly. You also ensure that network operations are safe and efficient by monitoring network performance, coordinating planned maintenance, adjusting hardware components and responding to network connectivity issues. Google's complex network generates a constant stream of challenges which require you to continually be innovative with an evolving set of technologies. Keeping the network reliable ensures that our users stay connected with our suite of applications, products and services.

Job responsibilities

• Produce plans and designs to meet all network infrastructure and capacity plans for Google’s global production network in line with established standards and product Service Level Objective (SLO), establish and ensure proper blend of CapEx (Capital Expenditure) and OpEx (Operating Expenditure).
• Communicate with internal business partners to collect drivers and deadlines for delivering network capacity.
• Incorporate newly NPI solutions into plans and designs. Ensure plan and design toolsets and business processes are ready for intaking NPIs.
• Assist in setting up practices and policies in network designs and plans, and establish business practices that improve performance, reliability, and reduce risk.
• Create automation tooling/scripts into network planning and design, contribute to the automation roadmap of all automatable tasks performed by the team, substantially reducing cycle time and improving quality and consistency.

Minimum qualifications

• Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
  
• 3 years of experience with network routing protocols or optical networks, design and troubleshooting, with network equipment providers.
• Experience in one or more programming languages such as C++, Go, or Python.
  

Preferred qualifications

• Experience with managing scaled capacity augment/migration projects in a computer networking environment.
• Experience with network system design, network architecture and technology, and network infrastructure.
• Experience with forecasting, planning and design tools, workflow automation tooling and improvement, automation scripts.
• Ability to manage multiple priorities in an ambiguous and busy operations environment, and deliver outstanding results in a timely manner.
• Outstanding organizational, multitasking, and prioritization skills, with an excellent attention to detail.
• Strong problem solving, cost-benefit analysis, and data analysis skills.