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Software Engineer Manager II, Security/Privacy, Core

Google

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

São Paulo, State of São Paulo, Brazil

Security

Staff Software Engineer

In-Person

5,000+ Employees

8+ years of experience

Enterprise SaaS

Description For Software Engineer Manager II, Security/Privacy, Core

Google's Core team is seeking a Software Engineering Manager II to lead their Security/Privacy initiatives. This role combines technical leadership with people management, requiring 8+ years of software development experience and 3 years of technical leadership. The position is crucial in building the technical foundation behind Google's flagship products, focusing on security and privacy systems. As a manager, you'll guide multiple teams, oversee strategic projects, and impact technical decisions across the company. The Core team is responsible for developing essential building blocks that ensure excellent, safe, and coherent experiences for users while driving innovation for developers. This role offers a unique opportunity to influence technical decisions at scale while leading and developing engineering talent in one of tech's most impactful companies.

Last updated 3 months ago

Responsibilities For Software Engineer Manager II, Security/Privacy, Core

Set and communicate team priorities that support the broader organization's goals
Set clear expectations with individuals based on their level and role
Develop the mid-term technical vision and roadmap within the scope of your team(s)
Design, guide and vet systems designs within the scope of the broader area
Review code developed by other engineers and provide feedback to ensure best practices

Requirements For Software Engineer Manager II, Security/Privacy, Core

Python

Java

JavaScript

Bachelor's degree or equivalent practical experience
8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript)
3 years of experience in a technical leadership role
2 years of experience in people management/team leadership role
Master's degree or PhD in Engineering, Computer Science, or related technical field (preferred)
3 years of experience with data privacy or security systems (preferred)
3 years of experience working in a complex, matrixed organization (preferred)

Google

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

São Paulo, State of São Paulo, Brazil

Security

Staff Software Engineer

In-Person

5,000+ Employees

8+ years of experience

Enterprise SaaS

Google

How would you sort an unsorted array of integers in ascending order using the merge sort algorithm, without using built-in sorting functions? Explain merge sort, its implementation, efficiency and how it can be modified for descending order or implemented iteratively.

Data Structures & AlgorithmsHard

Given an unsorted array of integers, write a function to sort the array in ascending order using the merge sort algorithm. Explanation of Merge Sort:** Briefly explain the merge sort algorithm, highlighting its divide-and-conquer approach. Implementation:** Provide a step-by-step implementation of the merge sort algorithm. This includes: A mergeSort function that recursively divides the array into smaller subarrays. A merge function that merges two sorted subarrays into a single sorted array. Example:** Input array: [38, 27, 43, 3, 9, 82, 10] Expected output: [3, 9, 10, 27, 38, 43, 82] Efficiency:** Discuss the time and space complexity of merge sort. Why is merge sort considered an efficient sorting algorithm? How does it compare to other sorting algorithms like bubble sort or quicksort in terms of performance (best, average, and worst-case scenarios)? Constraints:** You are not allowed to use built-in sorting functions. The array can contain positive and negative integers. The solution must be implemented in a language of your choice (e.g., Python, Java, C++). Follow-up:** How would you modify the merge sort algorithm to sort the array in descending order? Could you implement an iterative version of merge sort instead of the recursive one? What are the trade-offs?

Arrays

Recursion

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

Tell me about the most challenging project you have ever handled

Behavioral

Tell me about the most challenging project you have ever handled. To provide more context, please consider the following aspects in your response: Describe the project briefly: What were the project's goals, and what was your role? What made it challenging? Was it a technical hurdle, a difficult deadline, a complex team dynamic, ambiguous requirements, or something else? Provide specific examples of the challenges you faced. How did you overcome these challenges? What steps did you take to address the issues? What resources did you utilize? Did you have to learn new skills or technologies on the fly? What was the outcome? Were you able to successfully complete the project? If not, what were the lessons learned? What would you do differently next time? What was your biggest takeaway from the project? How did this experience shape your approach to future projects? Did it change your perspective on teamwork, problem-solving, or project management? For instance, perhaps you led a project to migrate a legacy system to a new cloud-based platform, and you encountered unexpected compatibility issues that required you to develop innovative workarounds. Or maybe you were part of a team that was tasked with developing a new feature for a popular product, but the requirements changed frequently, and the timeline was extremely tight. Sharing these types of details will help me understand the scope and complexity of the project and how you responded to the challenges involved.

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