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Our team is responsible for architecting, designing, implementing, and maintaining robust network infrastructures for data centers and DCI optical networks. We ensure seamless connectivity, security, and reliability within campus and across global data center networks. We develop tools and automate processes to support our hypergrowth.
As a Staff Network Engineer, you’ll play a pivotal role as a technical leader and exemplar within our team. We seek an individual who crafts and implements technology solutions aligned with business and technical goals, stays abreast of cutting-edge networking research, fosters collaboration across teams, and adeptly balances competing priorities. In addition to leadership acumen, a successful Staff Network Engineer should demonstrate sufficient proficiency in both networking and software engineering.
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 out of our Hillsboro, OR.
Responsibilities:
Review architectures, network designs, automated network provisioning and tools, and provide recommendations for continuous improvements in all aspects of the network, including network performance, capacity, reliability, and observability.
Design, deploy, and operate a large-scale network for data center infrastructure and backbone across multiple geographical regions. Collaborate with cross-functional teams to align implementation with business objectives.
Perform network maintenance and upgrades.
Identify gaps and develop solutions to automate deployments and auto-remediate network faults.
Network security and compliance.
Participate in on-call rotation, resolve network outages, conduct post-mortems and remediation plans.
Evaluate new platforms to address scaling challenges and drive requirements with OEMs/ODMs to support our technology stack.
Basic Qualifications:
Bachelor's degree in Computer Science or a related field, or equivalent experience
5+ years of proven hands-on industry experience in network and data center engineering in hyperscalers environment.
Understanding of network protocols such as TCP/IP, BGP, MPLS, RDMA, network overlay technologies, and network-based Quality of Service (QoS).
Experience with programming languages like Python, Go, or other scripting languages.
Knowledge in Kubernetes, host networking, host TCP tuning.
Knowledge in network congestion control solutions such as QoS, DCTCP/ECN, and eBPF.
Knowledge in network management, configuration generation and provisioning systems and tools. Ansible, REST/gRPC, NETCONF, Jenkins, Puppet, YANG, OpenConfig, etc.
Previous knowledge in hardware and software testing using IXIA or other testing platforms.
Preferred Qualifications:
Master’s Degree in a technical discipline
10+ years of professional experience
Experience in SONiC
Experience in evaluating and deploying new HW platforms and SWs to solve DC growth and operational challenges.
Experience in designing and deploying network infrastructure for HPC workloads.
Suggested Skills:
Network Protocols
Kubernetes
Network Design
Network Engineering
You will Benefit from our Culture:
LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is [$147000 to $240000]. 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
LinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.
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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.
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
This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice
