Software Engineer Director, Compute Infrastructure

Job Location:

Mountain View, CA - USA

Monthly Salary: Not Disclosed

Posted on: 9 hours ago

Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

This role will be based in Sunnyvale CA.

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.

As a Software Engineering Director of the Compute Infrastructure team at LinkedIn you will play a crucial role in our ongoing efforts to architect our compute infrastructure. This is a high-profile high-impact project that touches every aspect of our engineering organization. We are looking for professionals who have a proven track record of delivering large-scale compute infrastructure..

In this role you will lead a team that designs and implements solutions that enable LinkedIn to scale its compute infrastructure to meet the demands of a rapidly growing user base. You will also need to work collaboratively with cross-functional teams and be comfortable operating in a fast-paced dynamic environment.

If you are passionate about building the underlying technology that powers one of the worlds most-used internet applications and have the skills and experience to help us take our compute infrastructure to the next level we want to hear from you. Apply now to join our team and help shape the future of LinkedIn.

Responsibilities:

You will directly contribute to LinkedIns Compute infrastructure strategy.
You will build and operate a platform that allocates hardware resources with necessary physical/logical distribution for fault tolerance and easy maintenance.
You will help up-level and coach a large team of talented developers.

Qualifications :

Basic Qualifications:

5 years of software engineering management experience
4 years experience in one of the following areas: data infrastructure search infrastructure or ML platforms
2 years of experience in compute infrastructure
B.A./B.S. degree or higher or equivalent experience

Preferred Qualifications:

10 years of experience in managing engineering teams.
5 years of experience building large-scale compute infrastructure or other relevant infrastructure
Experience in leading technical teams and coaching engineers and engineering managers
Demonstrated understanding of operating system fundamentals container technologies and systems knowledge.
Experience with Kubernetes.
Experience with IaaS systems and capacity management.

Suggested Skills:

Distributed Systems
Kubernetes
Technical Leadership

Additional Information :

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 all levels

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 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.

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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.

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

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Employment Type :

Full-time

This role will be based in Sunnyvale CA.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 ...