Staff Network Engineer at LinkedIn

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

248000.0

Posted On

19 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Network Protocols, Kubernetes, Network Design, Network Engineering, Python, Go, TCP/IP, BGP, MPLS, RDMA, QoS, Ansible, REST/gRPC, NETCONF, Jenkins, Puppet

Industry

Software Development

Description

Company Description 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’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. 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. The Data Center & Core Network Engineering 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 implements and supports networking technology solutions aligned with business and technical goals, keeps up with 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 automation engineering. 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. Participate and resolve Network Security and Compliance issues. 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. Qualifications Basic Qualifications: BA/BS Degree in a technical field or equivalent practical experience. 5+ years of industry experience in network and data center engineering in hyperscalers environment. 5+ years of experience with programming languages like Python, Go, or other scripting languages. Experience with network protocols such as TCP/IP, BGP, MPLS, RDMA, network overlay technologies, and network-based Quality of Service (QoS). Knowledge in Kubernetes, host networking, host TCP tuning, and HPC networking. Experience in network congestion control solutions such as QoS, DCTCP/ECN, and eBPF. Experience with network management, configuration generation and provisioning systems and tools, e.g. Ansible, REST/gRPC, NETCONF, Jenkins, Puppet, YANG, OpenConfig, etc. Preferred Qualifications: Master’s Degree in a technical discipline 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. Experience in hardware and software testing using IXIA or other testing platforms. Experience in building AI/ML network infrastructure, e.g. Infiniband and RoCEv2 networking. Suggested Skills: Network Protocols Kubernetes Network Design Network Engineering 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 $152,000 to $248,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits. Additional Information 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 [email protected] 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. Workplace Type: Hybrid Career Track & Grade: IC4/9 Department: Engineering

Responsibilities

The Staff Network Engineer will review architectures, designs, and automated provisioning tools, providing recommendations for continuous improvements across network performance, capacity, reliability, and observability. Responsibilities also include designing, deploying, and operating large-scale data center and backbone networks across multiple regions while developing automation solutions for deployments and fault remediation.