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HomeCompaniesLinkedin3Distinguished Software Engineer, Data Infrastructure

Distinguished Software Engineer, Data Infrastructure

Linkedin3 · Mountain View, CA, United States · Hybrid · Active · $248,000–$406,000 / day · SmartRecruiters

Job facts

FieldValue
CompanyLinkedin3
TitleDistinguished Software Engineer, Data Infrastructure
Normalized title-
Department / teamEngineering
LocationMountain View, CA, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$248,000–$406,000 / day
Statusactive
ATS providerSmartRecruiters
Posted / first seen2026-04-09 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Linkedin3.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through SmartRecruiters.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Mountain View.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyLinkedin3
Source033cb003-8739-4446-9881-4055ceed69d9
ATS providerSmartRecruiters

Description

LinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. 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. Overview: Are you ready to shape the future of LinkedIn’s infrastructure? We're looking for a visionary Distinguished Engineer to join our dynamic Data Infrastructure team. With our focus on nearline systems, batch systems, observability, compliance and managed data science platforms we're critical to every aspect of LinkedIn products and committed to pushing the boundaries of what's possible. As a key member of our team, you will tackle complex technical challenges, design resilient architectures, and develop cutting-edge solutions that enhance LinkedIn’s platform for millions of users worldwide. In this high-impact role, you'll have the opportunity to drive innovation, mentor engineering talent, and represent LinkedIn as a thought leader in the industry. If you have a passion for building scalable, high-performance systems and want to make a significant contribution to a company that values collaboration, growth, and excellence, we’d love to hear from you. Join us to redefine the standards of online infrastructure and deliver exceptional experiences to LinkedIn’s members and customers. Job Description: LinkedIn is seeking a Distinguished Engineer with deep expertise in Data Infrastructure, Platforms, and AI to provide technical leadership for the Data Infrastructure organization. The Data Infrastructure team delivers the specialized infrastructure required to run LinkedIn’s products, AI training and inference, business metrics and observability with high availability, scale and optimal performance. This leader will leverage their broad infrastructure knowledge to drive innovation, optimize performance, and enable superior user experiences that increase productivity and customer engagement. Responsibilities: Develop a comprehensive understanding of LinkedIn's infrastructure, particularly focusing on Data Infrastructure, but also partner infrastructure in our Core and AI teams to provide domain expertise and thought leadership. Lead and facilitate cross-functional technical discussions to align product and technology strategies, emphasizing developer productivity while meeting scale, performance, and efficiency requirements. Define and drive technical strategies and roadmaps that translate business requirements into robust architecture and technology plans. Design and architect highly scalable, resilient, and distributed systems to support Data Infrastructure objectives Establish and advocate for best practices, design patterns, and quality standards for scalable batch and nearline processing, policy enforcement, data quality Identify and address gaps in the current infrastructure by recommending and implementing migration strategies for legacy systems Work closely with infrastructure users to understand user experience and set the vision and technical direction to improve usability Mentor and guide senior engineering talent, fostering a culture of craftsmanship, innovation, and technical excellence Help drive an understanding of AI and a culture of AI adoption for development and in our systems Represent LinkedIn as a thought leader by publishing technical papers, presenting at conferences, and driving industry innovation in Online Infrastructure. Collaborate with stakeholders to ensure the infrastructure supports LinkedIn's business goals and customer needs. Drive the adoption of new technologies and methodologies that enhance the performance, reliability, and maintainability of LinkedIn’s infrastructure. Ensure compliance with security and privacy standards, implementing measures to protect LinkedIn’s data and systems. Basic Qualifications: Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience 10+ years of experience in software engineering, with a focus on infrastructure, distributed systems, or databases. Preferred Qualifications: Master's or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent research experience. Proven track record of technical leadership in building robust, scalable platforms Demonstrated expertise in designing, implementing, and managing large-scale, distributed systems that are both resilient and scalable. 5+ years of experience in a technical or scientific leadership position Proven ability to lead and mentor engineering teams, fostering a culture of technical excellence, innovation, and collaboration. Expertise in designing and implementing distributed databases, data and compute infrastructure at scale Experience identifying gaps in current infrastructure, recommending strategic improvements, and driving implementation of cutting-edge solutions to advance the field of Data Processing and Data Infrastructure Experience leading large-scale development projects from concept to production Proficiency with AI based development and the use of AI/ML in production systems Ability to drive cross-company initiatives and influence the evolution of infrastructure systems Excellent communication skills, with experience mentoring engineering talent and fostering a culture of collaboration and innovation. Suggested Skills: * Mentoring * Technical Leadership * Machine Learning LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $248,000 to $406,000. 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. 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 [email protected] 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. 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: https://lnkd.in/paytransparency. Global 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: https://legal.linkedin.com/candidate-portal.

Full job record

Job ID356c55202a9f424ff94f402abd0f894222a5062c
Org IDa80bcf9f-5469-4827-aa6d-03bb1292edcd
Source ID033cb003-8739-4446-9881-4055ceed69d9
Board ID033cb003-8739-4446-9881-4055ceed69d9
Providersmartrecruiters
Provider Job Key744000119692632
TitleDistinguished Software Engineer, Data Infrastructure
Normalized Title
Statusactive
Activeyes
Location TextMountain View, CA, United States
DepartmentEngineering
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CityMountain View
Salary RawLinkedIn is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed. Join us to transform the way the world works. 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. Overview: Are you ready to shape the future of LinkedIn’s infrastructure? We're looking for a visionary Distinguished Engineer to join our dynamic Data Infrastructure team. With our focus on nearline systems, batch systems, observability, compliance and managed data science platforms we're critical to every aspect of LinkedIn products and committed to pushing the boundaries of what's possible. As a key member of our team, you will tackle complex technical challenges, design resilient architectures, and develop cutting-edge solutions that enhance LinkedIn’s platform for millions of users worldwide. In this high-impact role, you'll have the opportunity to drive innovation, mentor engineering talent, and represent LinkedIn as a thought leader in the industry. If you have a passion for building scalable, high-performance systems and want to make a significant contribution to a company that values collaboration, growth, and excellence, we’d love to hear from you. Join us to redefine the standards of online infrastructure and deliver exceptional experiences to LinkedIn’s members and customers. Job Description: LinkedIn is seeking a Distinguished Engineer with deep expertise in Data Infrastructure, Platforms, and AI to provide technical leadership for the Data Infrastructure organization. The Data Infrastructure team delivers the specialized infrastructure required to run LinkedIn’s products, AI training and inference, business metrics and observability with high availability, scale and optimal performance. This leader will leverage their broad infrastructure knowledge to drive innovation, optimize performance, and enable superior user experiences that increase productivity and customer engagement. Responsibilities: Develop a comprehensive understanding of LinkedIn's infrastructure, particularly focusing on Data Infrastructure, but also partner infrastructure in our Core and AI teams to provide domain expertise and thought leadership. Lead and facilitate cross-functional technical discussions to align product and technology strategies, emphasizing developer productivity while meeting scale, performance, and efficiency requirements. Define and drive technical strategies and roadmaps that translate business requirements into robust architecture and technology plans. Design and architect highly scalable, resilient, and distributed systems to support Data Infrastructure objectives Establish and advocate for best practices, design patterns, and quality standards for scalable batch and nearline processing, policy enforcement, data quality Identify and address gaps in the current infrastructure by recommending and implementing migration strategies for legacy systems Work closely with infrastructure users to understand user experience and set the vision and technical direction to improve usability Mentor and guide senior engineering talent, fostering a culture of craftsmanship, innovation, and technical excellence Help drive an understanding of AI and a culture of AI adoption for development and in our systems Represent LinkedIn as a thought leader by publishing technical papers, presenting at conferences, and driving industry innovation in Online Infrastructure. Collaborate with stakeholders to ensure the infrastructure supports LinkedIn's business goals and customer needs. Drive the adoption of new technologies and methodologies that enhance the performance, reliability, and maintainability of LinkedIn’s infrastructure. Ensure compliance with security and privacy standards, implementing measures to protect LinkedIn’s data and systems. Basic Qualifications: Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience 10+ years of experience in software engineering, with a focus on infrastructure, distributed systems, or databases. Preferred Qualifications: Master's or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent research experience. Proven track record of technical leadership in building robust, scalable platforms Demonstrated expertise in designing, implementing, and managing large-scale, distributed systems that are both resilient and scalable. 5+ years of experience in a technical or scientific leadership position Proven ability to lead and mentor engineering teams, fostering a culture of technical excellence, innovation, and collaboration. Expertise in designing and implementing distributed databases, data and compute infrastructure at scale Experience identifying gaps in current infrastructure, recommending strategic improvements, and driving implementation of cutting-edge solutions to advance the field of Data Processing and Data Infrastructure Experience leading large-scale development projects from concept to production Proficiency with AI based development and the use of AI/ML in production systems Ability to drive cross-company initiatives and influence the evolution of infrastructure systems Excellent communication skills, with experience mentoring engineering talent and fostering a culture of collaboration and innovation. Suggested Skills: * Mentoring * Technical Leadership * Machine Learning LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $248,000 to $406,000. 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. 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 [email protected] 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. 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: https://lnkd.in/paytransparency. Global 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: https://legal.linkedin.com/candidate-portal.
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First Seen At2026-05-31 17:30:51Z
Last Seen At2026-06-06 18:50:59Z
Last Checked At2026-06-06 18:50:59Z
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GET https://api.bluedoor.sh/job-postings/v1/jobs/356c55202a9f424ff94f402abd0f894222a5062c?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/a80bcf9f-5469-4827-aa6d-03bb1292edcdJSON
GET https://api.bluedoor.sh/job-postings/v1/sources/033cb003-8739-4446-9881-4055ceed69d9JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/356c55202a9f424ff94f402abd0f894222a5062c/eventsJSON