Cloud Technical Solutions Engineer, AI/ML (Chinese, English)

Google

Tokyo, Japan

Cloud

Mid-Level Software Engineer

In-Person

4+ years of experience

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Description For Cloud Technical Solutions Engineer, AI/ML (Chinese, English)

The Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. As a Cloud Technical Solutions Engineer, AI/ML (Chinese, English), you will listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You will work closely with a cross-functional team of web developers and systems administrators, as well as a variety of both regional and international customers.

Your responsibilities include:

Working with customers on their production deployments to resolve issues and achieve product readiness, availability, and scale.
Developing an understanding of Google Cloud's product technology and underlying architectures.
Acting as a consultant and subject matter expert for internal stakeholders.
Collaborating as part of a global team that ensures 24-hour customer support, which may include non-standard work hours/shifts and weekend work.
Understanding customer issues and advocating for their needs with internal teams.

Key qualifications:

Bachelor's degree in Science, Technology, Engineering, Math or equivalent practical experience.
4 years of experience reading code in general purpose coding languages.
Experience with Linux/Unix or Windows systems.
Experience in reading/debugging code and in virtualization and orchestration frameworks.
Fluency in English and Mandarin (Chinese).

This role offers the opportunity to be part of Google Cloud's mission to accelerate every organization's ability to digitally transform its business and industry.

Last updated 5 months ago

Responsibilities For Cloud Technical Solutions Engineer, AI/ML (Chinese, English)

Work with customers on their production deployments to resolve issues and achieve product readiness, availability, and scale
Develop an understanding of Google Cloud's product technology and underlying architectures by troubleshooting, reproducing, and determine the root cause for customer-reported issues, building tools, and faster diagnosis
Act as consultant and subject matter expert for internal stakeholders in engineering, business, and customer organizations to resolve technical deployment obstacles and improve Google Cloud
Collaborate as part of a team of engineers/consultants that globally ensure 24-hour customer support. This will include a need to sometimes work non-standard work hours/shifts, and may include weekend work
Understand customer issues, advocate for their needs with internal teams, including product and engineering teams, to find ways to improve the product, and drive production

Requirements For Cloud Technical Solutions Engineer, AI/ML (Chinese, English)

Java

Python

JavaScript

Linux

Bachelor's degree in the field of Science, Technology, Engineering, Math or equivalent practical experience
4 years of experience reading code in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go or JavaScript, etc.) or in system design
Experience with Linux/Unix or Windows systems, from the kernel to the shell, file systems, and client-server protocols
Experience in reading/debugging code and in virtualization and orchestration frameworks
Ability to communicate fluently in English and Mandarin (Chinese) to communicate with different regional customers and stakeholders

Google

Tokyo, Japan

Cloud

Mid-Level Software Engineer

In-Person

4+ years of experience

Google

Find the length of the longest strictly increasing subsequence in an array of integers. Describe your approach and its complexity, considering edge cases. Provide examples to illustrate your solution. How would the approach handle edge cases such as an empty array, or an array with only one element, impacting complexity and efficiency of the approach taken? What is the time and space complexity of your solution? Provide the results for the sample arrays `[1, 3, 2, 4, 5]` and `[10, 9, 2, 5, 3, 7, 101, 18]` to ensure proper functionality of your function, by returning 4 in both test cases. This will ensure a good understanding of increasing subsequences in a sequence of numbers in an array, while testing for a well-defined approach that is efficient to use with a variety of test data sets. This showcases proficiency in algorithmic thinking and problem-solving skills by handling an array of integers to find the longest length of a strictly increasing subsequence while addressing edge cases that may arise from the sample data set used in this test case. It shows a deep understanding of the problem, as well as the ability to articulate, plan and design a proper solution to provide the right output for each test case provided in this simulated scenario. This emphasizes the importance of code quality and readability, alongside accuracy of the algorithm to assess for proficiency in the related subject matter of programming and computer science principles that are essential for the role being assessed during this interview process. This would ensure your approach is robust and adaptable to different datasets, showcasing a solid understanding of data structures and algorithms and best practices for writing clean and efficient code for software development tasks that require these skills on the job daily in a multitude of projects throughout different teams as well as departments that handle data sets of different formats for various software being implemented across platforms where these are deployed for specific functions that relate to them to facilitate the development process for various user needs and requirements in the long run over the years in the industry with current trends using similar coding techniques at this stage or level of sophistication regarding different paradigms applicable here according to what can be adopted as far as current resources permit at any given point along the timeline for improvements that are needed in relation with available funds at the moment etcetera, to keep things viable for longer-term sustainability within market forces at this juncture given whatever competing forces might impact profitability.

Data Structures & AlgorithmsHard

Let's simulate a coding interview scenario. I'd like you to solve a problem and articulate your thought process as you go. Imagine you're given an array of integers. Your task is to write a function that finds the length of the longest strictly increasing subsequence in that array. A strictly increasing subsequence is a sequence of numbers from the array such that each number is greater than the previous one, and their original order in the array is maintained. For example, in the array [1, 3, 2, 4, 5], one possible increasing subsequence is [1, 2, 4, 5], and the longest increasing subsequence is [1, 2, 4, 5], which has a length of 4. Another possible increasing subsequence is [1, 3, 4, 5] which has length of 4. Your function should return 4 in this case. Another example is [10, 9, 2, 5, 3, 7, 101, 18]. The longest increasing subsequence is [2, 3, 7, 18], which has a length of 4. Your function should return 4. Can you describe your approach and then implement the function? Consider edge cases, like an empty array or an array with only one element. How would your approach handle those? What is the time and space complexity of your solution?

Arrays

Dynamic Programming

Google

How would you design a web proxy?

System DesignMedium

Let's design a web proxy. Consider the following requirements: Basic Functionality: The proxy should be able to forward HTTP and HTTPS requests from clients to web servers and return the responses. Caching: Implement caching to reduce latency and bandwidth usage for frequently accessed resources. How would you handle cache invalidation? Security: The proxy should support HTTPS and protect client data. How would you handle SSL/TLS certificates? Scalability: The proxy should be able to handle a large number of concurrent connections. What architectural choices would you make to ensure scalability? Authentication: Implement basic authentication (username/password) to control access to certain websites. Logging: Log requests and responses for debugging and monitoring purposes. What information should be logged, and how would you manage log files? Blocking: Implement the functionality to block access to certain websites based on a blacklist. Discuss the architecture, components, and algorithms involved in building such a web proxy. Include considerations for performance, security, and maintainability. Provide example scenarios and solutions to potential challenges.

Arrays

Strings

Graphs

Dynamic Programming

Greedy Algorithms

Bit Manipulation

Google

Where do you see yourself in 5 years?

Behavioral

Where do you see yourself in 5 years?

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