Staff Network Engineer

LinkedIn • Mountain View, CA

15h • Hybrid

About The Position

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. 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.

Requirements

• 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.

Nice To Haves

• 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.

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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level