Job Details

Staff Software Engineer - Feed Infrastructure

Sunnyvale, California, United States
Feed Infra is looking for a strong Tech Lead to work on the next generation of Feed Infra. In this role, you will have enormous opportunities around scalability and AI productivity, working with engineers, managers and partners to create the vision and build a technical roadmap. You will also act as a role model and mentor engineers on areas like craftsmanship and execution. Ideal candidates should have strong experience in large scale & low latency distributed systems, Java memory optimizations, GC tuning and proven track record of driving cross functional projects to completion. LinkedIn Feed is fundamental to the success of the company's 'active community' strategy and in driving marketing solutions revenue. Feed Infrastructure is a large-scale distributed system that powers LinkedIn's newsfeed. It is composed of multiple business critical services responsible for serving and indexing feed activities. This infrastructure poses a unique set of challenges in 3 dimensions. Responsibilities:1. Scale - 10s of thousands of QPS, multiple terabytes of data, and running expensive scoring operations for millions of records per second. 2. Relevance - Our relevance partners experiment with hundreds of new ML models per quarter using thousands of features. Feed Infra needs to provide easy to use infrastructure to enable relevance engineers to experiment with novel solutions at a fast pace. 3. Product Agility - Feed Infra powers a large number of use cases - Feed, Stories, Hashtags, QnA, Polls, Events and many others. It requires infra to provide capabilities to onboard new use cases quickly and enable product engineers to experiment with new ideas with minimal friction. Basic Qualifications:BS in Computer Science or related technical field or equivalent technical experience. 4+ years of industry experience. 4+ years' experience in software design, development, and algorithm related solutions4+ years programming experience in an object-oriented programming language such as Java, C/C++Preferred Qualifications:6+ years of relevant work experience. MS or PhD in Computer Science or related technical discipline. Experience building roadmap and strategy for team. Experience in mentoring/leading junior engineers. Background in building distributed systems on a consumer Internet scale. Experience working cross functionally with product teams, AI teams and other infrastructure teams. Familiarity with Machine Learning and related Infrastructure would be a plus. Equal Opportunity StatementLinkedIn is committed to diversity in its workforce and is 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. LinkedIn is an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://lnkd. /equalemploymentopportunity2017. Please reference http://www1. . /employers/upload/eeoc_self_print_poster. and https://www. . /ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c. for more information. LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful. 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 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 interviewA 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. 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