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LinkedIn, based in Mountain View, CA, seeks a seasoned engineering leader to own strategy, execution, and outcomes for its enterprise infrastructure. This role covers global network, compute, storage, and Azure, including CI/CD platforms and departmental data pipelines.
You will drive reliability, security, velocity, and cost efficiency while partnering with InfoSec and cross-functional teams. Strong leadership and executive communication are essential.
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that is built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
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.
The Enterprise Infrastructure Engineering (EIE) team builds and operates the Compute, Storage, Network, and Public Cloud infrastructure that powers LinkedIn’s enterprise platforms and services. The team delivers reliable, secure, and cost-efficient foundations across offices, data centers, and Azure, enabling critical business systems and modern CI/CD platforms for internal applications.
We are seeking a seasoned engineering leader to own strategy, execution, and outcomes for LinkedIn’s enterprise infrastructure. This leader will be responsible for the end-to-end portfolio across network (Wi-Fi, VPN, global sites), compute and storage (Windows/Linux Servers and Endpoints, data services, identity), and Azure tenants/regions, including CI/CD platforms supporting internal applications like LangSmith, AI integrations, and enterprise data pipelines.
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 $215,000 to $352,000. 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.
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 and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36
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:
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.
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: https://www.linkedin.com/legal/candidate-portal.