For Sydney applicants: At Google, we have a vision of empowerment and equitable opportunity for all Aboriginal and Torres Strait Islander peoples and commit to building reconciliation through Google's technology, platforms and people and we welcome Indigenous applicants. Please see our Reconciliation Action Plan for more information.
For Singapore applicants: Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tokyo, Japan; Sydney NSW, Australia; Singapore.
Minimum qualifications:
- Bachelor's degree in Computer Science, Telecommunications or Electrical Engineering, or equivalent practical experience.
- 6 years of experience in telecommunications or data center infrastructure, working with optical network infrastructure (fiber splicing, OTDR testing, DWDM systems).
- Experience in coding/scripting for network automation (e.g., Python, Go) and with data modeling.
- Experience managing vendors, contractors, or field teams in a cross-functional environment.
- Ability to communicate in English and Japanese fluently to support client relationship management in this region.
Preferred qualifications:
- 10 years of experience in telecommunications infrastructure, deployment, or design of networks in hyperscale data centers.
- Experience in Network Design and Troubleshooting.
- Experience with automation frameworks and CI/CD pipelines.
- Experience with AI/ML infrastructure requirements or large-scale cluster networking.
- Ability to work independently, manage conflicting priorities, and lead technical projects with minimal supervision.
- Ability to travel internationally across the APAC region.
About the job
As a Network Implementation Engineer, you will be the initial point of our efforts to execute deployment, maintenance, and operations of private data networks worldwide. You will work with Technical Program Managers, Network Engineers, Design and Infrastructure Engineers, Field Engineers within Google, as well as construction and telecommunications vendors and contractors, all to position your team and organization for success.
You will facilitate faster, better, and more efficient, positive outcomes for the business and our customers. Your objective will be to build the world's most reliable, cost-effective and scalable network to support all of our current and future customers and users globally.
The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Responsibilities
- Serve as the APAC technical lead for fiber optics and structured cabling. Ensure installations from Inside Plant (ISP) to Outside Plant (OSP) to meet Google's rigorous hyperscale standards.
- Direct and establish priorities for third-party vendors and partners across the region. Conduct audits and site inspections ensuring workmanship quality in data centers, colocation facilities, and POPs, utilizing English and Japanese fluently to support client relationship management in this region
- Travel up to 30% to key markets including India, Australia, Malaysia, Thailand, and others conducting quality assessments and lead critical infrastructure turn-ups.
- Analysis and efficiency improvements of significant impact. Create metrics and dashboards, prove the quality standards are being met, move the region toward data-driven decision-making.
- Utilize modern network automation frameworks (e.g., Ansible, Nornir) and data modeling (YAML/JSON) standardizing how we capture and review installation quality.
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