Director, Edge & Traffic Engineering Job at LinkedIn, Mountain View, CA

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  • LinkedIn
  • Mountain View, CA

Job Description

LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. We are seeking an experienced and strategic Director of Traffic Engineering to lead and optimize our global traffic management, DNS, and routing platform initiatives. This role is critical for ensuring high availability, performance, and scalability of our traffic routing systems across a global infrastructure. The ideal candidate will have in-depth expertise in DNS, traffic engineering, and routing platforms, along with hands-on experience working with technologies like Azure Front Door (AFD), Cloudflare, IPVS, Apache Traffic Server (ATS), HAProxy, and various proxy systems. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together. Key Responsibilities: Define, develop, and execute a comprehensive traffic engineering strategy that supports the scalability and resiliency of our global platform. Drive continuous improvement in performance, reliability, and availability for DNS, traffic routing, and load balancing systems. Collaborate closely with product, engineering, and infrastructure teams to align traffic engineering strategies with business objectives. Oversee the architecture and optimization of traffic routing and DNS systems, including Azure Front Door (AFD), Cloudflare, and custom DNS configurations. Manage and enhance DNS resolution and traffic routing policies to achieve high performance, low latency, and optimal path selection for end users. Lead the deployment and management of geographically distributed traffic management systems to improve load balancing and failover capabilities. Direct the design, deployment, and maintenance of IPVS, Apache Traffic Server (ATS), HAProxy, and other traffic routing platforms to optimize global traffic flow. Implement and monitor proxy systems using Cloudflare and Azure Front Door, ensuring smooth traffic distribution, load balancing, and fault tolerance. Establish robust incident management and troubleshooting processes to address routing, latency, and availability issues in real time. Establish and track key performance metrics, SLAs, and SLOs for DNS and traffic routing systems, proactively identifying areas for improvement. Apply network traffic analysis and telemetry data to optimize load balancing, manage traffic spikes, and anticipate future demands. Drive initiatives for automation, observability, and fault tolerance, with a focus on minimizing downtime and improving MTTR. Lead and mentor a team of traffic engineers, fostering a culture of innovation, accountability, and technical excellence. Work closely with network engineers, SREs, and security teams to ensure a cohesive and secure traffic engineering infrastructure. Stay informed about industry trends and emerging technologies in traffic engineering, DNS, and routing, bringing new insights to the organization. Basic Qualifications: Bachelor's degree in Network Engineering, Computer Science, Electrical Engineering, or a related field. 12+ years of experience in network engineering. Minimum of 8 years in a leadership role 5+ experience managing large-scale, global networks with a focus on performance, availability, and scalability. Experience in networking technologies, protocols (e.g., BGP, OSPF, MPLS), traffic engineering, and load balancing. Hands-on experience with edge networks, CDNs, cloud networking, and SDN (Software Defined Networking). Strong project management skills, with the ability to drive complex projects and meet deadlines in a fast-paced environment. Experience with vendor management, contract negotiations, and managing relationships with global suppliers. Preferred Qualifications: Experience in large-scale cloud or web-scale companies. Familiarity with AI-driven networking technologies and the impact of AI workloads on network performance. Knowledge of data center operations and hardware systems. “Suggested Skills”

  • Exceptional leadership skills and experience managing large scale global networks
  • Strong problem-solving and decision-making skills,
  • Excellent communication and collaboration skills
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $218,000 to $357,000. 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 an annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit 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 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: 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:

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