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.
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 LinkedIn鈥檚 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.