Distinguished Software Engineer, Data Infrastructure job opportunity at LinkedIn.

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Date2026-04-09T20:16:51.454Z bot
LinkedIn Distinguished Software Engineer, Data Infrastructure
Experience: General
Pattern: Full-time
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Data Infrastructure

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degreeHigh School (S.S.C.E)
loacation Mountain View, California, United States
loacation Mountain View,..........United States
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Job DescriptionAt 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. Overview:  Are you ready to shape the future of LinkedIn’s infrastructure? We're looking for a visionary Distinguished Engineer to join our dynamic Data Infrastructure team. With our focus on nearline systems, batch systems, observability, compliance and managed data science platforms we're critical to every aspect of LinkedIn products and committed to pushing the boundaries of what's possible. As a key member of our team, you will tackle complex technical challenges, design resilient architectures, and develop cutting-edge solutions that enhance LinkedIn’s platform for millions of users worldwide. In this high-impact role, you'll have the opportunity to drive innovation, mentor engineering talent, and represent LinkedIn as a thought leader in the industry. If you have a passion for building scalable, high-performance systems and want to make a significant contribution to a company that values collaboration, growth, and excellence, we’d love to hear from you. Join us to redefine the standards of online infrastructure and deliver exceptional experiences to LinkedIn’s members and customers. Job Description: LinkedIn is seeking a Distinguished Engineer with deep expertise in Data Infrastructure, Platforms, and AI to provide technical leadership for the Data Infrastructure organization. The Data Infrastructure team delivers the specialized infrastructure required to run LinkedIn’s products, AI training and inference, business metrics and observability with high availability, scale and optimal performance. This leader will leverage their broad infrastructure knowledge to drive innovation, optimize performance, and enable superior user experiences that increase productivity and customer engagement.  Responsibilities: Develop a comprehensive understanding of LinkedIn's infrastructure, particularly focusing on Data Infrastructure, but also partner infrastructure in our Core and AI teams to provide domain expertise and thought leadership. Lead and facilitate cross-functional technical discussions to align product and technology strategies, emphasizing developer productivity while meeting scale, performance, and efficiency requirements. Define and drive technical strategies and roadmaps that translate business requirements into robust architecture and technology plans. Design and architect highly scalable, resilient, and distributed systems to support Data Infrastructure objectivesEstablish and advocate for best practices, design patterns, and quality standards for scalable batch and nearline processing, policy enforcement, data qualityIdentify and address gaps in the current infrastructure by recommending and implementing migration strategies for legacy systemsWork closely with infrastructure users to understand user experience and set the vision and technical direction to improve usabilityMentor and guide senior engineering talent, fostering a culture of craftsmanship, innovation, and technical excellenceHelp drive an understanding of AI and a culture of AI adoption for development and in our systemsRepresent LinkedIn as a thought leader by publishing technical papers, presenting at conferences, and driving industry innovation in Online Infrastructure. Collaborate with stakeholders to ensure the infrastructure supports LinkedIn's business goals and customer needs. Drive the adoption of new technologies and methodologies that enhance the performance, reliability, and maintainability of LinkedIn’s infrastructure. Ensure compliance with security and privacy standards, implementing measures to protect LinkedIn’s data and systems. 

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