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Network Engineer

Job in Mountain View, Santa Clara County, California, 94040, USA
Listing for: Linkedin
Full Time position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    Network Engineer, Systems Engineer, Cybersecurity, Network Security
Job Description & How to Apply Below
Position: Staff Network Engineer
Company Description Linked In  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 Linked In, 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 Linked In 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, Open Config, 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…
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