Staff Software Engineer Network Infrastructure

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 LinkedIns 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.

As a Staff Software Engineer you will provide technical leadership in building and evolving these platforms at scale. You will design systems that translate intent into reliable automation collaborate across engineering and operations teams and make thoughtful trade-offs across reliability performance security and developer experience. This role calls for strong software engineering fundamentals practical networking knowledge and the ability to deliver solutions that operate dependably in real-world production environments.

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 LinkedIns 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.

Qualifications :

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 $152000 - $248000. 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: Information :

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.

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• 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

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Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.

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No

Employment Type :

Full-time