Sr. Manager, Software Engineering, Compute Infrastructure

This role will be based in Mountain View 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. 

Creating economic opportunity for every member of the global workforce is a responsibility we all share. To truly transform the global economy we must evolve the way we hire and enable our talent to serve people of all backgrounds and experiences. LinkedIn is committed to diversity in its workforce and is proud to be an equal opportunity employer.

As a Sr. Software Engineering Manager of Workload Runtime within the Compute Infrastructure team at LinkedIn you will play a crucial role in our ongoing efforts to architect our compute infrastructure. You will be responsible for building and evolving next-generation workload runtime that powers LinkedIn at global scale. Your scope will include deep integration across workload orchestration deployment platform autoscaling and reliability engineering.

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.

Responsibilities:

• You will directly contribute to LinkedIns Workload Runtime strategy within Compute infrastructure.
• You will build and operate a platform that focuses on resource allocation isolation and security at the host level to ensure reliable and secure execution of workloads.
• You will help up-level and coach a team of talented developers.

Qualifications :

Basic Qualifications: 

• BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience.
• 5 years of experience in software engineering/technical management and people management.
• 4 years of industry experience in system infrastructure 
• 2 years of experience in compute infrastructure

Preferred Qualifications: 

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

Suggested Skills:

• Distributed Systems
• Kubernetes
• Technical Leadership

The pay range for this role is $198000 to $326000. 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