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Description

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. At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers hybrid option. This means you can 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

As a Distinguished Engineer at LinkedIn, you will lead technology vision and development for Data Infrastructure Org. You will have the opportunity to architect and lead the next generation of AI-first infrastructure that powers LI’s Business . From Data Processing pipelines to storage systems to Online data infra to driving business impact - you will get to experience all. The successful candidate will be a strong thought leader in the technology space, with the ability to build and execute at scale, inspiring and guiding a large team of engineers solving big problems.

As a key leader in the organization, you will be responsible for innovation, implementing tech strategy, staying ahead and influencing adoption of industry best practices in building and scaling state of the art Infrastructure

Responsibilities:

• Develop a strong understanding of LI’s Core Infrastructure and its trends and provide domain expertise to the team.

• Head cross team/cross functional discussions and drive alignment on product/technology strategy, influencing decisions

• Help define technical strategy& leverage business and domain acumen to interpret and translate business requirements to architecture/technology plans.

• Help build highly scalable systems and applications to enable the organization to achieve its goals.

• Actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. Define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices.

• Establish a culture that values diverse viewpoints while navigating complex decisions.

• Publish, present, and contribute as a thought leader in the field of Infrastructure

• Advise LinkedIn executives on a broad range of technology, strategy, Policies and best practices to build Infrastructure at scale

• You believe in building relationships at all levels and can seamlessly work in a cross-functional team set up with distributed ownership. You partner with teams across the globe to foster a culture of collaboration and can own and drive large scale initiatives.

• Identify problems, opportunities and advise, architect, design and operationalize Tech solutions.

• Be part of the TLG (Technology Leadership Group) contributing to the overall strategy & roadmap considerations

• Evangelize and inspire best practices across LI to transform them towards thinking AI-first Infrastructure

• Establish a culture that values diverse viewpoints while navigating complex decisions

• Lead by example to build a culture of craftsmanship and innovation.

• Provide mentorship to other senior engineering talent

• Assume hands-on leadership, especially when helping teams resolve complex problems

Basic Qualifications:

• PhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience

• 10+ years of relevant work experience

Preferred Qualifications:

• 10+ years' experience in building robust Platforms with at least 5 of those years in a technical or scientific leadership position

• Experience in designing and implementing platforms at scale to solve complex business problems

• Experience leading complex technical projects with multiple stakeholders

• Experience in leading large scale development projects from concept to multiple releases in production

• Experience of technical leadership guiding and mentoring top engineering and operations talent

• Experience leading high-impact, cross-company initiatives

• Dream big. Make big, bold moves to define and build the next generation of Infrastructure.

"Suggested Skills"

• Building Enterprise Applications and building innovative platforms from scratch and scaling through hypergrowth

• Developing Technology Strategy at a company-wide scale

• Technical leadership

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.

#LI-HYBRID

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