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Join us to transform the way the world works.

Team Description

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn, hybrid roles are performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Remote roles are performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval.

Linkedin’s Production Hardware Engineering and Capacity team is looking for an experienced capacity planning resource that will be part of a team to support the company's data center footprint globally. The role will require working with the Production, Infrastructure, and Business Engineering and Operations teams.

Responsibilities:

• Partner with internal Engineering customers to understand their long-term growth trajectories
and create plans to meet their compute resource needs.
• Perform data analysis for existing capacity headroom and build forecast demand pipeline.
• Work with our Data Center Engineering and Infrastructure Business Operations partners to
develop a new capacity take-down schedule.
• Work with our Hardware Evaluation team to identify the impact of new technology on data
center capacity.
• Define metrics and create tools to scale capacity planning with LinkedIn’s growth.
• Track infrastructure capacity orders, delivery, and spare hardware pool sizes for all products
within our data centers.
• Perform Quarterly infrastructure capacity analysis and review with Service Engineers,
Application Owners and Management.
• Proactively identify data center capacity-related concerns and work with systems, network,
and operations engineering teams to find resolutions.
• Work with our Infrastructure Development team to build tools for automation of the capacity
planning process that can be utilized for more effective hardware allocation.
• Convert hardware forecast into cabinet configurations using power balancing and topology
requirements to best utilize data center power and space capacity.
• The position may require some travel

Basic Qualifications:

• BA/BS Degree in Computer Science, Engineering or related technical discipline, or equivalent
practical experience
• 5+ years of capacity planning, production planning or operations planning in large Data Center
environments with at least 2+ years of experience in a leadership position
• Experience with data center facilities operations, power infrastructure, cooling infrastructure,
and physical space requirements.
• Experience with building and managing models for business forecasting, variance analysis, and
problem solving.

Preferred Qualifications:

• 10+ years of capacity planning, production planning or operations planning in large Data
Center environments
• Experience working with a trouble ticketing system (Jira or equivalent)
• Advanced knowledge of data analytics and data modeling tools
• Strong communication and presentation skills working with cross-functional teams
• Strong operational understanding of BMS, CMDB, and DCIM tools

Suggested Skills:
• Data Center capacity planning
• Data Center production planning
• Data Center operations planning

You will Benefit from our Culture

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $149,000 - $247,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.






Equal Opportunity Statement
LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

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If you need a reasonable accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us at accommodations@linkedin.com and describe the specific accommodation requested for a disability-related limitation.

Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:

-Documents in alternate formats or read aloud to you
-Having interviews in an accessible location
-Being accompanied by a service dog
-Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.

Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice for Job Candidates
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice