VetJobs - The Leading Military Job Board

Job Information

LinkedIn Staff Network Engineer, Site Reliability in Richardson, Texas

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.

Our 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 crafts and implements technology solutions aligned with business and technical goals, stays abreast of 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 software engineering.

This role, due to the business needs of the team, requires employees to be physically present in the specified office on a full-time basis. This helps to ensure you are best equipped to be successful and have the experience you need to fulfil the responsibilities of the role.

This role will be based in Richardson, Texas.

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.

Network security and compliance.

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.

Basic Qualifications:

BA/BS Degree in a technical field or equivalent practical experience.

5+ years of proven hands-on industry experience in network and data center engineering in hyperscalers environment.

Experience of network protocols such as TCP/IP, BGP, MPLS, RDMA, network overlay technologies, and network-based Quality of Service (QoS).

Proficient in programming languages like Python, Go, or other scripting languages.

Knowledge in Kubernetes, host networking, host TCP tuning.

Experienced in network congestion control solutions such as QoS, DCTCP/ECN, and eBPF.

Experienced with network management, configuration generation and provisioning systems and tools. Ansible, REST/gRPC, NETCONF, Jenkins, Puppet, YANG, OpenConfig, etc.

Previous experience in hardware and software testing using IXIA or other testing platforms.

Preferred Qualifications:

Master’s Degree in a technical discipline

10+ years of professional experience

Experience in SONiC

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.

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 $175,000 to $235,000. 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

LinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

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: https://lnkd.in/paytransparency.

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: https://lnkd.in/GlobalDataPrivacyNotice

DirectEmployers