Staff Software Engineer - Network Security & Automation

Company Description

LinkedIn is the worlds 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. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.

Job Description

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

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.

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 In