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Data Center Technician (Night/Swing Shift)

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Job Description

Job Description
Data Center Technician (Night Shift)
Onsite (Oregon Locations)
12-months

LinkedIn is the world s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.

This role, due to the business needs of the team, requires employees to be physically present in the specified office on a full-time basis. This helps to ensure you are best equipped to be successful and have the experience you need to fulfil the responsibilities of the role.

As a Data Center Technician, you will be responsible for troubleshooting all console connectivity issues, server power supply related issues, and network connectivity issues . You will also be responsible for assisting L1 associate data center technicians with the installation, and troubleshooting, of new SSD s and NVME s into existing servers. You will mentor associate data center technicians and assist them with various server maintenance tasks as necessary.

This position will work directly with LinkedIn s contracted Associate Data Center Technicians and Senior Data Center Technicians who are responsible for all hardware break fix activities, to ensure SLA s and KPI s are met. This position will also work with LinkedIn full time engineers as points of escalation.

Primary Responsibilities will include:
Perform basic hardware diagnostic and troubleshooting of servers. Escalating complex issues to Senior Data Center Technicians as necessary.
Troubleshoot basic Linux OS level issues on all servers.
Installation of new SSD s and NVME s into existing servers.
Assist LinkedIn engineers in troubleshooting all auto build (Linux Kickstart) nodes that do not build properly (stragglers).
Troubleshooting and resolution of all network connectivity issues at the physical layer (port flapping, port down, link issues, etc.).
Resolution of manually-generated tickets through cross-functional collaboration across diverse teams.
Process (identify, tag, and prepare) all server nodes ready for decommissioning and prepare them for our third party ITAM vendor to pick up.
Assist with any hardware installations that do not fall within the scope of work for quarterly organic growth.

Secondary Responsibilities will include, but not limited to:
Assisting Level 3 Data Center Technicians in OS level troubleshooting and network troubleshooting.
Ensure LinkedIn s data center house rules are being followed and immediately report any concerns to leadership.
Ensure LinkedIn s data center cleanliness, any issues with cleanliness must be reported to leadership.

Basic Qualifications
4+ years in a Data Center Engineering Role
4+ years network cabling experience
4+ years Linux troubleshooting experience.
4+ years server hardware troubleshooting experience.

Preferred Qualifications
Experience with Ticket systems like JIRA, Salesforce, ServiceNow
Certifications such as CompTIA Server+, CompTIA Linux+, CompTIA A+ or similar.
Experience with automation and script use (e.g., Python, Bash).
Familiarity with networking protocols and equipment (e.g., switches, routers).
Experience using fiber testing equipment and understanding complex network mapping

Suggested Skills:
Strong verbal and written communication skills.
Sound problem-solving logic and analytical skills.
Ability to work independently and within a team.
Attention to detail and strong organizational skills.
Proactive attitude and ability to manage multiple tasks simultaneously.
Ability adapting to new technologies and processes.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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