Senior Staff Infrastructure Capacity Engineer

Job 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. 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 based in Mountain View, CA.

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

Qualifications

Basic Qualifications

• BA/BS Degree in Computer Science, Engineering or related technical discipline, or equivalent practical experience
• 8+ 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

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 $181,000 - $297,000. 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.