Director, Software Engineering, Systems Infrastructure; Online Infra
Mountain View, Santa Clara County, California, 94039, USA
Listed on 2026-02-28
-
IT/Tech
Systems Engineer, Data Engineer
Director, Software Engineering, Systems Infrastructure (Online Infra)
- Full-time
- Workplace Type:
Hybrid
Linked In is the world’s 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. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.
Join us to transform the way the world works.
At Linked In, 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 Linked In office on select days, as determined by the business needs of the team.
Reporting to the VP of Online Infrastructure
, this role will be based in Mountain View, CA, and will lead an organization of approximately 50 engineers and managers.
The Derived Data Systems team is a cornerstone of Linked In's data-driven ecosystem, responsible for architecting, building, and operating the high-performance platforms that create and manage high-value, queryable assets used by nearly every product on the site.
This team's charter spans two mission-critical platforms:
Graph Database (Liquid): The backbone for most Linked In products, providing the definitive source for all connections data. It supports real-time, high-QPS graph queries across a massive, highly connected dataset, powering features like Feed Personalization and core applications that leverage member connections.
Online Analytics: A large-scale analytics platform (utilizing technologies like Pinot) that enables critical product insights, powering features such as Who Viewed My Profile
, Creator Analytics
, and various Enterprise products.
As Director, you will drive the technical vision and organizational strategy for the next generation of these systems. This includes leading the strategic development of Liquid v2 to further improve scale, performance, efficiency, and usability, as well as the modernization of our analytics platform to a cloud-native, multi-engine architecture (e.g., using technologies like Click House).
Roles and ResponsibilitiesDefine the long-term technical vision and product roadmap for Linked In's core Graph Database and Online Analytics platforms.
Lead and mentor a high-performing organization of engineering managers and senior technical leaders (totaling ~50 people), fostering a culture of innovation, collaboration, and engineering excellence.
Drive the execution of multi-year, strategic initiatives, including the development of Liquid v2 and the migration to a modern, cloud-native analytics architecture.
Partner closely with product engineering, other infrastructure teams, and executive leadership to ensure the platforms meet the demanding scale, performance, efficiency, and usability requirements of Linked In's global member base and customer products.
Ensure the reliability, security, and operational excellence of mission-critical derived data systems operating at massive scale.
Basic QualificationsBachelor's degree in Computer Science or related technical discipline or equivalent practical experience.
7+ years of progressive experience in software engineering and technical leadership, with significant experience in direct people management.
Preferred QualificationsMS or PhD in Computer Science or a related technical discipline.
5+ years of experience managing managers and leading organizations of 50+ people.
Deep expertise in architecting and scaling mission-critical, high-QPS distributed systems, especially in areas like large-scale graph databases or online analytics/data warehousing.
Proven track record of defining and driving large-scale architectural modernization, such as a cloud migration or multi-engine platform strategy.
Suggested Skills- Executive Technical Leadership
- Organizational Design & Management of Managers
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