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LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers a hybrid work option, meaning you can both work from home and commute to a LinkedIn office, depending on what’s best for you and when it is important for your team to be together.

LinkedIn is looking for a Distinguished Engineer with expertise in platforms and infrastructure to provide thought leadership for Data Infra organization. Data Infra builds scalable, highly available, secure, easy to use and cost-efficient infrastructure that powers LinkedIn’s applications and infra systems. It covers a portfolio of products and services that allow applications to store, access/query, process and manage data. Our roadmap is bursting with great ideas and we are looking forward to having this distinguished Engineer help in solving intriguing technical challenges and building robust infrastructure that will help engineers to build cutting-edge experiences at scale.

We are in search of a Distinguished Engineer specializing in Core Infrastructure to join LinkedIn's Core Infrastructure organization. In this role, you will play a crucial part in architecting and developing AI-first infrastructure solutions that power our platform. While expertise in Kubernetes is valued, this position encompasses a broader focus on Core Infrastructure, ensuring scalability, reliability, and efficiency across LinkedIn's operations.

Responsibilities:

• Deepen understanding of LinkedIn's Core Infrastructure landscape and contribute valuable domain expertise.

• Lead discussions across teams and functions to align on product and technology strategies, with an emphasis on optimizing Core Infrastructure.

• Define technical strategies that translate business requirements into robust architecture and technology plans.

• Architect and construct highly scalable systems and applications to support organizational objectives.

• Establish best practices and quality standards for Core Infrastructure systems.

• Cultivate a culture of collaboration, diversity, and innovation, particularly in initiatives related to Core Infrastructure.

• Contribute as a thought leader in Core Infrastructure, with the opportunity to address both bottom and top stack challenges.

• Advise LinkedIn executives on technology strategies and best practices related to Core Infrastructure.

• Identify opportunities and design technical solutions leveraging Core Infrastructure to drive business impact.

• Mentor senior engineering talent in best practices and lead by example in craftsmanship and innovation.

Basic Qualifications:

• Masters or PhD in a relevant field or equivalent research experience.

• 10+ years of relevant work experience.

Preferred Qualifications:

• 10+ years' experience in building robust platforms, with at least 5 years in a technical or scientific leadership position.

• Experience in designing and implementing scalable infrastructure solutions.

• Experience leading large-scale development projects from concept to production.

• Experience of technical leadership skills, guiding and mentoring top engineering talent.

• Experience in leading cross-company initiatives and contribute to the evolution of Infrastructure.

"Suggested Skills"

• Experience in building enterprise applications and scalable platforms.

• Developing technology strategies at a company-wide scale.

• Technical leadership in Core Infrastructure.

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $229,000 to $375,000. 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 https://careers.linkedin.com/benefits.

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Equal Opportunity Statement

LinkedIn is committed to diversity in its workforce and is 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 an Affirmative Action and Equal Opportunity Employer as described in our equal opportunity statement here: https://microsoft.sharepoint.com/:b:/t/LinkedInGCI/EeE8sk7CTIdFmEp9ONzFOTEBM62TPrWLMHs4J1C_QxVTbg?e=5hfhpE. Please reference https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf and https://www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf for more information.

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 accommodations@linkedin.com 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 LinkedIn's legal duty to furnish information.

Pay Transparency Policy Statement

As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.

Global Data Privacy Notice for Job Candidates

This document provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://lnkd.in/GlobalDataPrivacyNotice