Staff Software Engineer - Network Infrastructure

Staff Software 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.

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 position will be hybrid in LinkedIn's Mountain View, CA campus.

Team Description

The Network Infrastructure Software team develops platforms that power intent-based, automated network operations for large-scale data center networks. Our work enables engineers to express what the network should do and rely on software to safely and consistently handle how it gets done. By standardizing and automating provisioning, configuration, security, and operations, we reduce manual intervention, improve observability, and shorten MTTD and MTTR while maintaining high standards for correctness, security, and availability.

Responsibilities

Provide technical leadership across the full lifecycle of network infrastructure software, including design, development, testing, deployment, and ongoing operation, with a focus on scalability, performance, and 24x7 reliability.

Build high-quality, production-grade software with strong engineering discipline, including comprehensive testing, code reviews, and continuous integration.

Partner closely with network engineering and application teams to shape the technical direction of LinkedIn's networking platforms, applying modern networking technologies and making informed architectural trade-offs.

Raise the bar for engineering excellence by defining best practices, driving technical rigor, and mentoring engineers across the team.

Define and evolve SLIs and SLOs, strengthen observability, and lead incident reviews and long-term corrective actions by partnering across network engineering, security, and infrastructure teams to align on requirements, interfaces, and rollout plans.

Basic Qualifications

BA/BS Degree in Computer Science or related technical discipline, or related practical experience.

4+ years experience in software design, development, and algorithm related solutions.

4+ years programming experience in object-oriented programming languages such as Golang, Python, Java, C++, Rust.

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

Preferred Qualifications

BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience.

Network automation / infrastructure platforms experience (configuration/change management, device lifecycle, audits/assurance, topology/state).

Experience in architecting, building, and operating large-scale distributed systems running in a 24x7 production environment.

Experience or knowledge in networking programming, such as Software Defined Networking (SDN), intent-based configuration management, RDMA/RoCEv2, Segment Routing, and network congestion control algorithms.

Experience or knowledge in SONiC Network Operating System, Kubernetes & CNI, host networking / TCP tuning.

Experience or knowledge in network management, configuration generation and provisioning systems and tools. Ansible, REST/gRPC, NETCONF, Jenkins, Puppet, YANG, OpenConfig, etc.

Suggested Skills

Technical Leadership

Architectural Mastery

Code Review and Quality Assurance

Network Infrastructure Software

Mentoring and Knowledge Sharing

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 $152,000 - $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

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.

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 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