Staff Network Engineer

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.

This role will be based in Mountain View, 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 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.

The Production Backbone Network Engineering team is responsible for architecting, building, and operating LinkedIn's global Backbone and Edge network infrastructure that connects our data centres, edge PoPs, cloud environments, transit providers, peers, and internet exchanges.

As a Staff Network Engineer, you will play a pivotal role as a technical leader and exemplar within the organisation. We seek an individual who crafts and implements technology solutions aligned with business and technical goals, stays abreast of emerging networking technologies, fosters collaboration across teams, and balances competing priorities to drive successful outcomes.

A successful Staff Network Engineer combines deep networking expertise with an automation-first mindset, using automation, infrastructure-as-code, and operational engineering principles to improve the reliability, scalability, and operational efficiency of large-scale production networks.

Responsibilities:

• Lead the architecture, design, and evolution of LinkedIn's global Backbone and Edge network infrastructure.
• Drive technical strategy for routing architecture, traffic engineering, scalability, resiliency, and operational excellence.
• Review network architectures, designs, provisioning frameworks, and operational tooling, providing recommendations to improve performance, capacity, reliability, security, and observability.
• Design, deploy, and operate large-scale Backbone and Edge networks across multiple geographic regions.
• Participate in on-call rotations, lead incident response efforts, conduct post-mortems, and drive long-term remediation initiatives.
• Collaborate with cross-functional teams to ensure network solutions align with business and technical objectives.
• Identify operational gaps and develop solutions to automate deployments, reduce toil, and enable auto-remediation of network faults.
• Lead complex cross-functional initiatives spanning network infrastructure, edge and CDN teams and automation teams.
• Drive network security, compliance, and operational best practices.
  
  

Basic Qualifications:

• BS/MS degree in Computer Science, Electrical Engineering, Computer Engineering, or equivalent practical experience.
• 5+ years of experience designing, deploying, and operating large-scale Backbone, WAN, ISP, Edge, or hyperscale networks.
• Understanding of networking fundamentals including TCP/IP, BGP, IS-IS, MPLS, RSVP-TE, Segment Routing Traffic Engineering (SR-TE).
• Experience operating large-scale service provider, hyperscale, or backbone networks.
• Experience with Internet peering, transit providers, IXPs, and WAN traffic engineering.
• Experience with Juniper Junos routing platforms and large-scale routing environments.
• Understanding of network automation principles and experience working with automation technologies such as Python, Ansible, Terraform, REST/gRPC APIs, NETCONF, YANG, or OpenConfig.
• Experience designing and operating cloud network connectivity with one or more public cloud providers (Azure, AWS, or GCP), including hybrid networking architectures and interconnect solutions.
• Experience with optical networking technologies including DWDM and optical transport systems.
• Hands-on troubleshooting, operational, and incident management experience.
  
  

Preferred Qualifications:

• 7+ years of experience in production network engineering.
• Experience designing and evolving global Backbone and Edge network architectures.
• Experience operating both Juniper Junos and Arista EOS platforms.
• Experience evaluating, qualifying, and deploying new networking hardware and software platforms.
• Experience working directly with network equipment vendors, cloud providers, and service providers to influence product direction and technical roadmaps.
• Experience leading large-scale network migrations and infrastructure transformation programs.
  
  

Suggested Skills:

• Backbone & Edge Network Architecture
• TCP/IP, BGP, IS-IS, MPLS, RSVP-TE, SR-TE, VXLAN/EVPN
• Internet Routing, Peering & Traffic Engineering
• Cloud Networking (Azure, AWS, GCP)
• DWDM & Optical Networking
• Network Automation & Infrastructure as Code
• Juniper Junos & Arista EOS
• Large-Scale Network Operations
• Technical Leadership & Cross-Functional Influence
  
  

LinkedIn is committed to fair and equitable compensation practices.



The pay range for this role is $156,000 to $255,000. 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 [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.

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.

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 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:

• 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 and Compliance Posters for Job Candidates

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.