Staff Capacity Infrastructure Engineer

At LinkedIn our approach to flexible work is centered on trust and optimized for culture connection clarity and the evolving needs of our business. The work location of this role is hybrid meaning it will be performed both from home and from a LinkedIn office on select days as determined by the business needs of the team.

This role will be hybrid in LinkedIns Mountain View CA campus.

The Capacity Engineering team shapes how LinkedIns infrastructure footprint is planned scaled and optimized to power reliable high-performance services. We focus on forecasting usage patterns baselining key capacity metrics and uncovering efficiency opportunities directly driving multi-million-dollar cost savings. This is a high-visibility team where engineering decisions influence how LinkedIn allocates its $1B infrastructure budget each year. 

We are looking for a Staff Capacity Infrastructure Engineer who will partner with Product and Infra teams to model demand optimize capacity and guide resource allocation across critical platforms. 

Responsibilities:

• Own end-to-end capacity planning for critical infrastructure domains (e.g. compute storage databases) spanning demand forecasting supply planning and execution to support LinkedIns growth.
• Lead quarterly and annual capacity planning cycles including scenario modeling tradeoff analysis and executive-ready recommendations that inform infrastructure investment decisions.
• Develop and standardize capacity forecasting models and core planning metrics ensuring consistent definitions and usage across Product Infrastructure and Finance teams.
• Identify and drive optimization of stranded or inefficient capacity partnering cross-functionally to reclaim resources and deliver meaningful cost savings.
• Translate product roadmaps growth signals and technology changes into infrastructure and cost impact influencing long-term platform and hardware strategy.
• Build scalable planning frameworks tools and automation that improve forecast accuracy reduce manual effort and enable capacity planning to scale with LinkedIns infrastructure footprint.

Qualifications :

Basic Qualifications:

• BA/BS Degree in Computer Science Industrial Engineering Operations Research or related technical discipline or equivalent practical experience
• 8 years of experience in capacity planning infrastructure planning or large-scale systems planning in distributed production environments.
• 5 years of experience with data analysis and modeling tools (e.g. SQL Python spreadsheets or equivalent internal tooling)

Preferred Qualifications:

• Strong executive communication skills including the ability to present tradeoffs risks and recommendations succinctly.
• Experience leading annual and quarterly planning cycles involving Finance Product and Infrastructure leadership.
• Experience influencing cross-functional stakeholders without direct authority.

Suggested Skills:

• Capacity Planning
• Infrastructure Optimization
• Stakeholder Management

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 $170000 to $277000. 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 Information :

Equal Opportunity Statement 

We seek candidates with a wide range of perspectives and backgrounds and we are 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 committed to offering an inclusive and accessible experience for all job seekers including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.

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 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 LinkedIns legal duty to furnish information.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement

As a federal contractor LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Work :

No

Employment Type :

Full-time