Engineer, Data Center

Job description

LinkedIn is the worlds 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.

Were also committed to providing transformational opportunities for our own employees by investing in their growth.

We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.

This role will be based in Santa Clara, CA.

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 on-site, meaning it will be performed in the specified office on a full-time basis due to the business needs of the team.

This role may require working evening or overnight shifts (3:00 PM - 12:00 AM or 11:00 PM - 8:00 AM).

The Data Center Hardware Engineering team is a highly skilled, hands-on technical group dedicated to maintaining the reliability and resilience of LinkedIn's global server and network infrastructure.

This team not only executes advanced break-fix repairs but also acts as a critical escalation point for Associate Hardware Engineers and contracted Data Center Technicians, ensuring strict adherence to SLAs and KPIs. Partnering closely with local Site Supervisors, Hardware Engineers lead advanced troubleshooting, incident response, and technical mentorship that directly safeguard LinkedIn's infrastructure stability and uptime.

In an environment where downtime is measured in minutes, precision, speed, and seamless collaboration are essential to the team's success.

Responsibilities:

+ Perform hardware break-fix repairs, including replacing failed drives, DIMMs, fans, power supplies, motherboards, SSDs, NVMe devices, and other components.
+ Coordinate with hardware OEM vendors for RMA, firmware updates, and resolution of chronic issues impacting LinkedIn's server fleet.
+ Act as the point of escalation for Associate Hardware Engineers and contracted technicians, taking ownership of complex hardware and Linux issues, coordinate with OEM vendors for resolution, and ensure SLA/KPI compliance.
+ Monitor and engage with the Jira ticket queue daily, ensuring tickets are processed correctly, SLA-compliant, and escalated appropriately.
+ Troubleshoot and resolve advanced Linux OS-level issues across all server platforms.
+ Develop and maintain internal documentation, troubleshooting guides, and training content to improve data center technician effectiveness.
+ Support deployment engineers with resolving autobuild (Linux Kickstart) failures, including remediation of - straggler- nodes.
+ Diagnose and resolve physical-layer network connectivity issues within LinkedIn data centers.
+ Troubleshoot dark fiber issues and physical-layer connectivity problems at LinkedIn's regional POPs.
+ Assist with hardware installations and upgrades outside of quarterly organic growth projects.
+ Review LinkedIn's Incident Dashboard and DCIM for electrical infrastructure faults, taking action on fatal or warning incidents and escalating to Senior Data Center Engineers (IC3) as needed.
+ Partner with cross-functional teams to identify efficiency opportunities and improve break-fix processes.
+ Participate in an on-call rotation to support global data center operations.

Basic Qualifications:

+ 1+ years of experience in a Data Center Engineering Role
+ 1+ years of Linux troubleshooting experience
+ 1+ years of server hardware troubleshooting experience
+ 1+ years of physical layer network troubleshooting experience

Preferred Qualifications:

+ Bachelor's Degree or equivalent industry experience.
+ 2+ years in a Data Center Engineering Role
+ 2+ years Linux troubleshooting experience.
+ 2+ years server hardware troubleshooting experience.
+ 2+ years physical layer network troubleshooting experience.

Suggested Skills:

+ Hardware Deployment & Installation
+ Project Management
+ Ticketing Systems (Jira, ServiceNow)
+ Linux/Unix
+ Server and Network Troubleshooting

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 $88,000 to $144,000.

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**

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 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.

**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: https://lnkd.in/paytransparency.

**Global 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: https://legal.linkedin.com/candidate-portal.

Required Skill Profession

Other General