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Software Engineer, Storage Technologies

Google

Google is a global technology leader that develops innovative products and services used by billions of people worldwide.

Taipei City, Taiwan

Backend

Mid-Level Software Engineer

In-Person

5,000+ Employees

5+ years of experience

Enterprise SaaS · Consumer

Description For Software Engineer, Storage Technologies

Google's Platforms Storage teams are seeking a Software Engineer to work on critical storage solutions that power all of Google's services. This role focuses on developing and implementing system software for storage systems, working with technologies like SSDs, NAND, and HDDs. You'll be part of the Technical Infrastructure team, building and maintaining the architecture that keeps Google's vast product portfolio running. The position requires expertise in system software development, storage technologies, and Linux environments. You'll work on maximizing performance, reliability, and security of storage systems, while collaborating with internal and external partners. This is an opportunity to impact billions of users, as your work will help store and manage data for services ranging from Gmail to YouTube and Google Cloud. The role offers the chance to work with cutting-edge storage technologies and contribute to Google's next-generation infrastructure.

Last updated 3 months ago

Responsibilities For Software Engineer, Storage Technologies

Design and implement the system software for storage systems to maximize the performance, reliability, security, and capacity
Create and implement tools for automating diagnostics, performance evaluation, and reliability assurance
Develop and implement solutions for collecting and analyzing metrics for storage products
Collaborate with internal and external partners to plan and execute engineering programs
Contribute innovative ideas and skills to the team

Requirements For Software Engineer, Storage Technologies

Linux

Python

Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience
5 years of experience in system software development
Experience in Unix/Linux environments
Experience coding in C/C++
Master's degree or PhD in Computer Science preferred
Experience in SSD/NAND or HDD storage technologies
Experience in developer operations and release management
Experience in storage software stack with Linux or firmware
Experience in large-scale and secure fleet management
Experience in Python and scripting languages

Google

Google is a global technology leader that develops innovative products and services used by billions of people worldwide.

Taipei City, Taiwan

Backend

Mid-Level Software Engineer

In-Person

5,000+ Employees

5+ years of experience

Enterprise SaaS · Consumer

Google

Find Winner on a Tic Tac Toe Game

Data Structures & AlgorithmsEasy

Tic-tac-toe is played by two players A and B on a 3 x 3 grid. The rules of Tic-Tac-Toe are: Players take turns placing characters into empty squares ''. The first player A always places 'X' characters, while the second player B always places 'O' characters. 'X' and 'O' characters are always placed into empty squares, never on filled ones. The game ends when there are three of the same (non-empty) character filling any row, column, or diagonal. The game also ends if all squares are non-empty. No more moves can be played if the game is over. Given a 2D integer array moves where moves[i] = [rowi, coli] indicates that the ith move will be played on gridrowi. return the winner of the game if it exists (A or B). In case the game ends in a draw return Draw. If there are still movements to play return Pending. You can assume that moves is valid (i.e., it follows the rules of Tic-Tac-Toe), the grid is initially empty, and A will play first. For example: moves = [[0,0],[2,0],[1,1],[2,1],[2,2]] Output: A moves = [[0,0],[1,1],[0,1],[0,2],[1,0],[2,0]] Output: B moves = [[0,0],[1,1],[2,0],[1,0],[1,2],[2,1],[0,1],[0,2],[2,2]] Output: Draw

Arrays

Google

Design a scalable and fault-tolerant distributed key-value store with get and put operations. Explain scalability, consistency, fault tolerance, data partitioning, and caching strategies, considering the tradeoffs of each decision. Provide examples and explain potential bottlenecks and their solutions. How would you handle nodes being added or removed from the cluster, if using consistent hashing, for example. Elaborate on how your design ensures that reads return the most up-to-date data (or how it handles potential inconsistencies, if any). How do you handle server failures, and what are the data replication and recovery strategies used in your system to guarantee the system's data durability and availability in the face of node failures? Provide rationale for all your architecture and design choices to showcase your knowledge of distributed system design principles and best practices. How does the load get balanced and how do we achieve high data locality in the system design proposed by you? In addition to that, give a brief explanation of which protocol is used to handle communication between the nodes and the client, and why you choose that protocol. Additionally, how can you ensure that the system handles a high volume of read and write requests and what will be its architectural components and their corresponding roles in the system's operation flow? Provide a detailed explanation of data flow when a get or put operation is being executed and provide potential issues for the bottleneck in the system and their solutions to them as well. Furthermore, also provide a concrete example of how keys would be mapped to specific servers in your design, keeping in mind the scalability and fault tolerance requirements of the distributed system as a whole. Also, discuss caching strategies and their impact on read and write performance, as well as any potential bottlenecks and solutions to them. Also, consider how the system handles the addition or removal of nodes in the cluster and the load that comes with that, also including maintaining consistent hashing as well if you are using that particular strategy as a part of your overall architecture for the distributed system being designed and developed by you and showcase any architectural changes needed to achieve this level of fault tolerance and scalability for the system to have as a whole. Give an overview of all of the above-mentioned topics and showcase why you chose the solution that you did and what the potential bottlenecks and trade-offs for it are as well to showcase that you know how to maintain a distributed system, how to scale it, how to ensure fault tolerance, and how to make it highly available to all the clients in the world wanting to make queries from the distributed system as a whole. The key point is to address the client's requests while also having a distributed system that is consistent as well and provides optimal read and write performance while also considering the trade-offs in the process as well so be sure to address all of these points in your answer so that you can fully showcase your skills of working with distributed systems to achieve all of the system requirements as mentioned above by the prompt as a whole for the system to be designed and developed from start to finish with a focus on distributed system architecture and design best practices that are commonly used across the technology industry with a strong emphasis on designing and implementing solutions that meet the scalability, consistency, fault tolerance, and data partitioning requirements of the distributed key-value store system as a whole with its complex design considerations that are taken from the architecture design all the way to the coding and implementation phase for the system from start to finish, adhering to industry-standard practices and strategies in the process. Make sure to showcase your architecture design skills from start to finish when approaching the problem at hand and design a solution that meets all of the distributed system architecture best practices and design principles from start to finish with a focus on scalability, consistency, and fault tolerance as the guiding principles throughout the design and development process for the design and development of the said system as a whole and showcase that you know industry-standard practices throughout the entire process while working with the design of complex systems to achieve all the system requirements and adhere to design principles from start to finish and focus on ensuring the requirements for scalability, consistency, and fault tolerance are fully met at all phases of the system to be developed from the initial architectural planning stage all the way to implementation, testing, and deployment of the solution in the cloud environment and make sure to also showcase the thought process and reasoning for all the design and architectural choices that you made for the complex distributed system to ensure all the design requirements are being met in the long run and to showcase to the interviewer your proficiency in software design and architecture and how you think and deal with all design requirements from start to finish in the entire system development lifecycle. Show how you make sure that all the design requirements are always met with the design and development choices you made as well. Take care of the entire project from start to finish with all of the phases included and mention all the decisions in the architecture to meet all the design requirements and standards set to be followed for this particular project to be successful from start to finish adhering to distributed system design best practices for each aspect of the system from start to finish and ensure that we are building something that is highly scalable, highly consistent, and highly fault tolerant in the long run.

System DesignHard

Let's design a simplified distributed key-value store. Assume we need to handle a high volume of read and write requests. The key-value store should support the following operations: get(key): Retrieves the value associated with the given key. put(key, value): Stores the value associated with the given key. Here are some specific considerations for the design: Scalability: The system should be able to scale horizontally to handle increasing amounts of data and traffic. Consider how data will be distributed across multiple servers. Consistency: Discuss the consistency model you would implement. Would you choose strong consistency or eventual consistency? What are the trade-offs? Provide a rationale for your choice. Elaborate on how your design ensures that reads return the most up-to-date data (or how it handles potential inconsistencies, if any). Fault Tolerance: How would the system handle server failures? Describe the mechanisms you would implement to ensure data durability and availability in the face of node failures. Explain the role of replication and how it impacts consistency. Data Partitioning: Describe your data partitioning strategy. Consider using techniques like consistent hashing or range-based partitioning. Explain how your chosen strategy affects load balancing and data locality. Provide a concrete example of how keys would be mapped to specific servers in your design. Caching: Where would you incorporate caching in your system to improve read performance? Discuss different caching strategies (e.g., client-side caching, server-side caching) and their implications. Walk me through the architectural components of your key-value store, including the roles of different servers, the communication protocols used, and the data flow for get and put operations. Explain any potential bottlenecks and how you would address them. For example, if consistent hashing is used, how do you handle nodes being added or removed from the cluster?

Arrays

Strings

Two Pointers

Stacks

Binary Search

Sliding Windows

Linked Lists

Trees

Recursion

Graphs

Dynamic Programming

Greedy Algorithms

Bit Manipulation

Database Problems

Google

Elaborate on your technical and soft skills with specific examples.

Behavioral

Let's discuss your skillset. To start, can you elaborate on your technical proficiencies, such as your experience with programming languages, frameworks, and tools? For instance, have you worked with Python, Java, or C++? Are you familiar with front-end frameworks like React or Angular, or back-end technologies like Node.js or Django? Can you provide examples of projects where you effectively utilized these skills to overcome technical challenges? Furthermore, how do you approach learning new technologies and integrating them into your existing workflow? In addition to technical skills, can you share examples of your soft skills, such as communication, teamwork, problem-solving, and leadership? For example, describe a situation where you effectively communicated a complex technical concept to a non-technical audience, or a time when you successfully collaborated with a team to achieve a common goal. How do you handle conflicts within a team, and what strategies do you employ to ensure that everyone's voice is heard? Finally, how do you stay up-to-date with the latest industry trends and advancements, and how do you continuously develop your skills to remain competitive in the ever-evolving tech landscape?

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