Sr. Software Engineer, Systems Infrastructure at LinkedIn3

This role will be available in Bellevue, Washington.  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. We're building the next-generation data infrastructure, including storage, streams, media and analytics platforms. Help us scale LinkedIn infrastructure to handle massive data growth across the LinkedIn ecosystem as we experience dramatic growth in membership and products. Bring your experience in distributed systems and algorithms and a strong systems orientation (multi-threading, concurrency, scalability, performance). You should understand frameworks for caching, queuing, and distributed data storage, and be excited to work on cutting edge open-source systems. What You’ll Do:     The ideal candidate will help scale LinkedIn’s infrastructure to handle massive growth in membership, traffic, and data as we continue to experience dramatic growth in the usage of our products with focus in one or more of the areas below:   • Data Infrastructure: A focus on building and supporting large scale systems and tools that enable the generation of insights and data products on all of LinkedIn’s internal and external data via self-serve computing, reporting solutions, and interactive querying. • Search, Networks and Analytics: Build and operate the platform that powers all of search at LinkedIn—responding to thousands of queries per second with target latencies in tens of milliseconds. The goal is to provide and run in 24/7 production environment a platform that enables search quality engineers to rapidly innovate, experiment and improve relevance—while at the same time remaining constantly available and performant to our users. • Service: Provide the technical platform for all of LinkedIn Engineering to build services, which are the essential unit of development and deployment.   • Content and Community: Deliver the systems and algorithms that generate and serve feeds of professionally relevant activities and content.