Customer Solutions Engineer, Infrastructure, Google Cloud (Mandarin, English) - Singapore

GOOGLE ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

GOOGLE ASIA PACIFIC PTE. LTD. Google Cloud Support team guides customers through critical moments in their cloud journey to help businesses grow.

You will provide technical guidance on GCP services, implement secure foundational cloud setups, automated provisioning, and cloud-ready architectures. You will troubleshoot issues, improve documentation, and collaborate with Product Management and Product Engineering to drive product excellence.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 3 years of experience with automating infrastructure provisioning, DevOps, troubleshooting, advocating for customer needs and managing technical issues (e.g., hardware, software, operating systems, networking).
• Experience with coding in general purpose languages (e.g., Python, Java, C++), data structures and algorithms, designing enterprise solutions, and supporting customer projects to completion.
• Experience in testing, maintaining, or launching software products, including design and architecture.
• Ability to work non-standard hours, including weekends, nights, and holidays as required.
• Ability to communicate in English and Mandarin fluently to support client relationship management in this region.

Responsibilities

• Provide solutions in cloud platforms and infrastructure; solve cloud platform tests. Create and deliver best practice recommendations, tutorials, blog articles, and sample code.
• Work with customers to design and implement Cloud based architectures, migration approaches, and application optimizations that enable business goals.
• Manage the customer's problem through diagnosis, resolution, or investigation tools implementation to increase productivity for customer issues on GCP products.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Participate in rotating on-call schedules including during nights, weekends and holidays to ensure prompt and proper resolution of customer-impacting technical tests and travel up to 15% in-region for meetings and onsite delivery activities.

Skills

Automating infrastructure provisioning

DevOps

Troubleshooting

Customer needs advocacy

Hardware/Software/Networking

Programming (Python/Java/C++)

Education

Bachelor's degree or equivalent practical experience

Tools

Docker

Kubernetes

Job description

Product area

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Job description

The Google Cloud Support team guides customers through the moments that matter in their cloud journey to help businesses grow. We help customers transform and evolve their business through the use of Google's global network, data centers, and software infrastructure.

In this role, you will provide technical guidance to customers adopting Google Cloud Platform (GCP) services. You will be providing best practices on secure foundational cloud implementations, automated provisioning of infrastructure and applications, cloud-ready application architectures, etc. You will work with Product Management and Product Engineering to drive excellence in Google Cloud products and features.

You will be a part of a global team that provides support to help customers make the switch to Google Cloud. You will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and coding/scripting. You will make the products easier to adopt and use by making improvements to the product, tools, processes and documentation.

Qualifications

Job responsibilities

• Provide solutions in cloud platforms and infrastructure; solve cloud platform tests. Create and deliver best practice recommendations, tutorials, blog articles, and sample code.
• Work with customers to design and implement Cloud based architectures, migration approaches, and application optimizations that enable business goals.
• Manage the customer's problem through diagnosis, resolution, or investigation tools implementation to increase productivity for customer issues on GCP products.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Participate in rotating on-call schedules including during nights, weekends and holidays to ensure prompt and proper resolution of customer-impacting technical tests and travel up to 15% in-region for meetings and onsite delivery activities.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 3 years of experience with automating infrastructure provisioning, Developer Operations (DevOps), troubleshooting, advocating for customer needs and managing technical issues (e.g., hardware, software, operating systems, networking).
• Experience with coding in general purpose languages (e.g., Python, Java, C++), data structures and algorithms, designing enterprise solutions, and supporting customer projects to completion.
• Experience in testing, maintaining, or launching software products, including design and architecture.
• Ability to work non-standard hours, including working weekends, night shifts, and holidays as required.
• Ability to communicate in English and Mandarin fluently to support client relationship management in this region.

Preferred qualifications

• Experience with SQL database administration, open source software communities, Cloud networking solutions, or distributed computing.
• Experience in data analytics, warehousing, Extract Transform and Load (ETL) development, data science, or other Big Data applications.
• Experience working with recommendation engines, data pipelines, or distributed machine learning.
• Experience working in distributed applications or micro-services in a cloud based environment (e.g., Docker, Kubernetes).
• Experience working in a dynamic organization with cross-collaboration across functions.
• Knowledge in Web application development/deployment, HTTP/RESTful API troubleshooting, or database design/troubleshooting.