Manager, Software Engineering (Code Collaboration)

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profile Job Location:

Mountain View, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 9 hours ago
Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

Job Description

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.

This manager role is for the Code Collaboration Team responsible for the code review and ownership experience at LinkedIn. With AI-assisted development coming to the forefront code review will eventually become a bottleneck as we need to ensure that code reviews are done in a timely manner while maintaining a high quality bar. This will involve revamping our code review policies and tooling across engineering including looking into AI code review solutions. Another one of DPXs highest priorities is to move our 14K microsevices to a monorepo-like architecture. As the manager of the team you will be responsible for ensuring that the code review experience is performant reliable and delightful for LinkedIns engineers as we rearchitect the engineering system.

This role is part of the Developer Platform and Experience (DPX) organization where you will get an opportunity to influence transform and create an amazing experience for developers at LinkedIn. We are a data driven organization and you will lead strategic investments to make step function improvements in the lives of LinkedIn developers. This spans multiple areas including but not limited to: Providing tools and infrastructure that creates delightful development experience; Provide and support application frameworks that empower LinkedIn Engineers to build member facing products; Provide actionable insights that leverages data and metrics; Provide tools and data that help LinkedIn teams listen to their customers; and most importantly deliver reliable and scalable infrastructure. You will have the opportunity to engage the industry-wide developer community and contribute to open-source software as well.


Qualifications :

Responsibilities

  • You will manage a team to build and ship software at scale that delivers impact.

  • You will improve all aspects of developer experience with a data driven mindset.

  • You will manage a team to design and build tools and frameworks to automate development testing deployment management monitoring data gathering and analysis of our 24x7 services and products.

  • You will develop and evangelize solutions to challenges faced by every product and infrastructure team at LinkedIn to improve developer happiness productivity and efficiency.

  • You will scale the infrastructure and tools required to keep our 6000 developers in step when they are all sharing the same code building and testing our software stacks and releasing and deploying their services continuously without compromising site reliability.

  • You will provide technical and people leadership driving and performing best engineering practices to initiate plan and execute critical large-scale cross-functional and company-wide programs.

 

Basic Qualifications

  •   BA/BS Degree in Computer Science or related technical discipline or equivalent practical

              experience.

  •  1 year(s) of management experience or 1 year(s) of staff level engineering experience with

             management training

  • 4 years of industry experience in software design development and large-scale software

            engineering

  • 4 years programming experience in object-oriented programming languages such as Python Java Javascript C/C C# Objective-C.

Preferred Qualifications

  •  MS or PhD in Computer Science or related technical discipline
  •  2 years of hands-on software engineering/technical management and people management experience
  • BS and 8 years of relevant work experience MS and 7 years of relevant work experience or PhD and 4 years of relevant work experience

  • Experience designing and building infrastructure and web services at large scale.

  • Knowledge of Internet protocols and network programming.

  • Experience working in a Unix environment (Linux preferred).

  • Experience in large-scale distributed systems and client-server architectures.

Suggested Skills

  • Object-oriented programming

  • Web services

  • Infrastructure

 

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 $147000 - $240000. Actual compensation packages are based on a wide array of factors unique to each candidate including but not limited to skill set years & depth of experience certifications and specific office location. This may differ in other locations due to cost of labor considerations.

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

Job DescriptionThis 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...
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Key Skills

  • Hospitality Experience
  • Go
  • Management Experience
  • React
  • Redux
  • Node.js
  • AWS
  • Mechanical Engineering
  • Team Management
  • Leadership Experience
  • Mentoring
  • Distributed Systems

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