Staff Software Engineer - Network Security & Automation

Staff Software Engineer - Network Security & Automation

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.

The Network Security & Automation team builds platforms that enforce security and compliance policy across LinkedIn's production network infrastructure. Our systems manage network access control and policy enforcement across cloud and on-prem environments — translating security intent into safe, automated outcomes. We partner closely with Information Security, Cloud Infrastructure, and Network Reliability teams.

As a Staff Software Engineer, you will own the technical direction of LinkedIn's network access control platform — the system that governs which services can communicate with each other across all of production. You will design systems for policy evaluation, automated change propagation, and compliance enforcement across Azure and on-prem data centers.

Responsibilities:

• Own the architecture for LinkedIn's network security policy platform (Python, Go
• Design systems for safe, automated propagation of network access changes at scale
• Build high-quality, production-grade software with strong engineering discipline, including comprehensive testing, code reviews, and continuous integration.
• Drive operational maturity — deployment safety, observability, and incident response
• Raise the bar for engineering excellence by defining best practices, driving technical rigor, and mentoring engineers across the team.
• Collaborate across InfoSec, Apps, NRE and Cloud Infrastructure

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.

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
• Advanced Security Practices
• 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.

Additional 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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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.

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

Pay Transparency Policy Statement

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