Job description

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 role will be based in Mountain View, CA OR Bellevue, WA. We are seeking a Distinguished Engineer to help shape the future of LinkedIn’s Core Infrastructure platform, which provides shared system services within a large-scale, private, on-premise distributed environment. This role will focus on building technical strategy and raising the bar across multiple infrastructure domains, with particular emphasis on block, blob, and file storage; the individual will also contribute to adjacent areas such as streaming/messaging (e.g., Kafka), fleet management, and control plane systems. Responsibilities • You will partner directly with senior engineering leaders to define long-term technical strategy across LinkedIn’s core infrastructure, including storage and messaging systems • Lead cross-team and cross-functional initiatives spanning distributed systems, storage platforms, and event-driven architectures • You will head cross team/cross functional discussions and drive alignment on technology strategy. • You will contribute directly to initiatives through a combination of design and implementation activities, working directly with engineers on the team. • You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies. • You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices. • Influence and mentor engineers across the organization, raising the bar for systems thinking and technical depth • Drive alignment across organizations on multi-domain infrastructure architecture, balancing scalability, reliability, and cost • Help evolve LinkedIn’s private cloud and fleet infrastructure strategy, enabling efficient operation at massive scale • Foster a culture that values diverse perspectives while navigating complex, ambiguous technical decisions Basic Qualifications • Bachelor's degree in Computer Science or a related field, or equivalent experience • 10+ years of relevant work experience in infrastructure engineering • Experience leading technical projects with multiple stakeholders Preferred Qualifications: • PhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience • 15+ years experience in building infrastructure at scale, with at least 5 of those years in a technical  leadership position • Experience building large scale infrastructure and distributed systems • Deep expertise in the following domain, with working knowledge across others: • Distributed Storage Systems (object storage, block storage, large-scale data systems) • Experience with messaging and streaming systems (e.g., Kafka, pub/sub architectures, event-driven systems) • Proven ability to operate across infrastructure domains, contributing to areas such as fleet management, control planes, and private cloud systems • Experience designing and evolving high-scale, on-premise or hybrid cloud infrastructure • Strong systems-level thinking, with the ability to move between domains (e.g., networking - storage - distributed systems) • Proven track record of leading cross-company, high-impact infrastructure initiatives from concept through production at scale • Experience mentoring senior engineers and influencing technical direction across large organizations • Experience leading high-impact, cross-company initiatives Suggested Skills • Infrastructure • Distributed Systems • Storage Systems • Technical Leadership 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 $253,000 to $416,000. 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 careers.linkedin.com 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 and describe the specific Accommodation requested for a disability-related limitation. Fill out an Accommodation request here: app.smartsheet.com 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. 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: lnkd.in. Global Data Privacy Notice and Compliance Posters for Job Candidates Please use this link to access documents that provide information about how LinkedIn handles the personal data of employees and job applicants, as well as the E-Verify Participation Notice and the Department of Justice Immigrant and Employee Rights Section Right to Work posters: linkedin.com.

Requirements

Must-haves

We are seeking a Distinguished Engineer to help shape the future of LinkedIn’s Core Infrastructure platform, which provides shared system services within a large-scale, private, on-premise distributed environment.
You will partner directly with senior engineering leaders to define long-term technical strategy across LinkedIn’s core infrastructure, including storage and messaging systems
Lead cross-team and cross-functional initiatives spanning distributed systems, storage platforms, and event-driven architectures
You will head cross team/cross functional discussions and drive alignment on technology strategy.
You will contribute directly to initiatives through a combination of design and implementation activities, working directly with engineers on the team.
You will actively improve the level of craftsmanship at LinkedIn by developing best practices and defining best strategies.
You will define the bar for quality and efficiency of software systems while balancing business impact, operational impact and cost benefits of design and architectural choices.
Influence and mentor engineers across the organization, raising the bar for systems thinking and technical depth
Drive alignment across organizations on multi-domain infrastructure architecture, balancing scalability, reliability, and cost
Help evolve LinkedIn’s private cloud and fleet infrastructure strategy, enabling efficient operation at massive scale
Foster a culture that values diverse perspectives while navigating complex, ambiguous technical decisions
Bachelor's degree in Computer Science or a related field, or equivalent experience

Nice-to-haves

PhD in a relevant field or related discipline (machine learning, statistics, computer science etc.), or equivalent research experience
Experience building large scale infrastructure and distributed systems
Deep expertise in the following domain, with working knowledge across others:
Distributed Storage Systems (object storage, block storage, large-scale data systems)
Experience with messaging and streaming systems (e.g., Kafka, pub/sub architectures, event-driven systems)
Proven ability to operate across infrastructure domains, contributing to areas such as fleet management, control planes, and private cloud systems
Experience designing and evolving high-scale, on-premise or hybrid cloud infrastructure
Strong systems-level thinking, with the ability to move between domains (e.g., networking - storage - distributed systems)
Proven track record of leading cross-company, high-impact infrastructure initiatives from concept through production at scale
Experience mentoring senior engineers and influencing technical direction across large organizations
Experience leading high-impact, cross-company initiatives
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machine learning

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