Technical Program Manager, Data Center Operations, Data Center Tech

Google

Google Cloud accelerates organizations' digital transformation by delivering enterprise-grade solutions leveraging cutting-edge technology and developer tools.

Austin, TX, USA • Atlanta, GA, USA

$142,000 - $211,000

Cloud

Mid-Level Software Engineer

In-Person

5,000+ Employees

5+ years of experience

Enterprise SaaS · Cloud

Description For Technical Program Manager, Data Center Operations, Data Center Tech

Google Cloud is seeking a Technical Program Manager to join their Data Center Operations team. This role combines technical expertise with program management to ensure the smooth operation of critical infrastructure. The position offers a competitive base salary range of $142,000-$211,000 plus bonus, equity, and benefits.

As a Technical Program Manager, you'll be responsible for managing complex projects related to Building Management Systems (BMS) and Electrical Power Monitoring Systems (EPMS). Your role will involve incident resolution, project leadership, and data-driven optimization of data center operations. You'll need to have strong experience with industrial controls in critical environments and excellent communication skills to work effectively with cross-functional teams.

The ideal candidate will bring at least 5 years of program management experience and 4 years of experience with BMS and SCADA systems. You'll be working in either Austin, TX or Atlanta, GA, contributing to Google's mission of building technology that helps create opportunities for everyone. The role offers growth opportunities within Google's inclusive culture, where diversity and belonging are prioritized.

This position is perfect for someone who combines technical expertise with project management skills and has a passion for data center operations. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, working with cutting-edge technology and contributing to solutions that serve customers in over 200 countries. The role offers not just technical challenges but also the opportunity to make a significant impact on Google's global infrastructure.

Last updated 3 months ago

Responsibilities For Technical Program Manager, Data Center Operations, Data Center Tech

Resolve incidents related to critical infrastructure, including BMS and EPMS
Lead technical projects involving Building Management Systems and Electrical Power Monitoring Systems
Collect and analyze operational data to identify trends and drive process improvements
Develop dashboards and visualizations to monitor system health and identify optimization opportunities

Requirements For Technical Program Manager, Data Center Operations, Data Center Tech

Bachelor's degree in a technical field, or equivalent practical experience
5 years of experience in program management
4 years of experience with Building Management Systems (BMS) controls and SCADA systems
Experience with designing, configuring, and troubleshooting BMS and SCADA systems
Experience with industrial controls in critical environments

Benefits For Technical Program Manager, Data Center Operations, Data Center Tech

Medical Insurance

Dental Insurance

Vision Insurance

401k

Parental Leave

bonus
equity
benefits

Google

Google Cloud accelerates organizations' digital transformation by delivering enterprise-grade solutions leveraging cutting-edge technology and developer tools.

Austin, TX, USA • Atlanta, GA, USA

$142,000 - $211,000

Cloud

Mid-Level Software Engineer

In-Person

5,000+ Employees

5+ years of experience

Enterprise SaaS · Cloud

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

Where do you see yourself in 5 years?

Behavioral

Where do you see yourself in 5 years?

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