Director, Software Engineering, Systems Infrastructure (Online Infra)

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.

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 LinkedIns 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 teams charter spans two mission-critical platforms:

• Graph Database (Liquid): The backbone for most LinkedIn 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 ClickHouse).

Roles and Responsibilities:

• Define the long-term technical vision and product roadmap for LinkedIns 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 LinkedIns global member base and customer products.

• Ensure the reliability security and operational excellence of mission-critical derived data systems operating at massive scale.

Qualifications :

Basic Qualifications

• Bachelors 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 Qualifications

• MS 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:

• Distributed Systems Architecture & Scalability

• Large-Scale Data Infrastructure (Graph Databases OLAP)

• Executive Technical Leadership

• Organizational Design & Management of Managers

You will Benefit from our Culture:

We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of alllevels.

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $226000 to $369000. Actual compensation packages are based on several factors that are unique to each candidate including but not limited to skill set depth of experience certifications and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus stock benefits and/or other applicable incentive compensation plans. For more information visit Information :

Equal Opportunity Statement 

We seek candidates with a wide range of perspectives and backgrounds and we are 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 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 interview

A 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.

LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. However employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by LinkedIn or (c) consistent with LinkedIns legal duty to furnish information.

San Francisco Fair Chance Ordinance

Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.

Pay Transparency Policy Statement

As a federal contractor LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: Data Privacy Notice for Job Candidates

Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: Work :

No

Employment Type :

Full-time