Data Center Server Operations Manager (Night Shift)

Google

Google is a global technology company that builds and maintains state-of-the-art physical infrastructure and technical architecture powering its search and other services.

Reston, VA, USA

$105,000 - $151,000

DevOps

Mid-Level Software Engineer

In-Person

5,000+ Employees

5+ years of experience

Enterprise SaaS

Description For Data Center Server Operations Manager (Night Shift)

Google's Hardware Operations team seeks a Data Center Server Operations Manager to lead their night shift operations. This role is crucial in maintaining Google's powerful technical infrastructure that powers its search technology and broader product portfolio. The position involves managing a team of Data Center Technicians responsible for installing, configuring, and maintaining server hardware and components.

The role combines technical expertise with leadership responsibilities, overseeing quality installations and complex troubleshooting of server hardware and Google's Linux cluster. You'll be working with sophisticated networking equipment including routers, hubs, bridges, and switches, while ensuring proper implementation of networking protocols.

As part of the Technical Infrastructure team, you'll contribute to developing and maintaining Google's data centers and building next-generation platforms. The team takes pride in being the engineers' engineers, focusing on keeping networks running optimally to ensure the best user experience.

This position offers a competitive compensation package including a base salary range of $105,000-$151,000, plus bonus, equity, and comprehensive benefits. The role requires night shift work and the ability to adapt to different rotations, making it ideal for someone who thrives in a non-standard schedule while leading technical teams.

The ideal candidate will bring experience in data center environments, strong technical knowledge in computing infrastructure, and proven leadership abilities. You'll be responsible for driving safety culture, managing project implementations, and ensuring alignment with company objectives while developing and coaching your team.

Last updated 3 days ago

Responsibilities For Data Center Server Operations Manager (Night Shift)

Oversee the day-to-day management of teams within data center operations
Work together to identify and resolve problems and create solutions for our global computing and network architecture
Manage the implementation of projects within the team. Communicate priorities and facilitate hand-off of operations to following shift leads
Hire, coach, and develop a team while achieving business goals. Demonstrate the ability to implement and drive the safety culture at the site
Ensure data center-related priorities are consistent with company objectives

Requirements For Data Center Server Operations Manager (Night Shift)

Linux

Bachelor's degree in a technical field or equivalent practical experience
5 years of experience in computing infrastructure, networking, operating systems, or hardware
2 years of experience managing technical teams, vendor or contract management and delivery
Ability to work non-standard hours and differing rotations/shifts

Benefits For Data Center Server Operations Manager (Night Shift)

Medical Insurance

Dental Insurance

Vision Insurance

401k

Parental Leave

bonus
equity
comprehensive benefits package

Google

Google is a global technology company that builds and maintains state-of-the-art physical infrastructure and technical architecture powering its search and other services.

Reston, VA, USA

$105,000 - $151,000

DevOps

Mid-Level Software Engineer

In-Person

5,000+ Employees

5+ years of experience

Enterprise SaaS

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

Design a URL shortening system.

System DesignMedium

Let's design a system for URL shortening, like TinyURL. Assume that we need to handle a large number of requests, say billions of URLs per day. Consider the following: Functional Requirements: The system should generate a shorter, unique alias for a given URL. Users should be able to enter a shortened URL and be redirected to the original URL. The shortened URLs should be relatively short. Non-Functional Requirements: The system should be highly available. URL redirection should be as fast as possible. The shortened URLs should be unique. The system should be scalable to handle a large number of URLs and requests. Considerations: How would you design the data model to store the mappings between shortened and original URLs? What algorithms would you use to generate the shortened URLs? Consider the trade-offs between different algorithms. How would you handle collisions (when the same shortened URL is generated for two different original URLs)? What kind of database would you use and why? How would you handle the high volume of traffic and ensure low latency for redirection? Consider caching strategies. How would you scale the system to handle future growth? Walk me through your design, explaining your choices and the rationale behind them. Include diagrams and specific technologies where appropriate. Explain how you would ensure the system meets the requirements for availability, performance, and scalability.

Database Problems

Arrays

Strings

Google

Tell me about a time you had to work with a signed contract.

Behavioral

Tell me about a time you had to work with a signed contract. Describe the situation, your role, and the outcome. What were the key clauses or provisions that were most relevant to the situation? What challenges, if any, did you face in interpreting or adhering to the contract terms? How did you ensure that your actions were in compliance with the contract, and what steps did you take to mitigate potential risks or disputes? For example, consider a scenario where you were managing a project with a vendor, and the contract outlined specific deliverables, timelines, and payment terms. A conflict arose when the vendor failed to meet a critical deadline, potentially impacting the project's overall timeline and budget. How did you leverage the contract to address the issue, protect your company's interests, and find a resolution that was fair to both parties? Or, imagine you were involved in a negotiation where the other party wanted to change certain terms after the contract was signed. How did you handle the situation, ensuring that any modifications were properly documented and agreed upon by all parties involved? What did you learn from this experience, and how has it influenced your approach to working with contracts in subsequent projects or situations?

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