LinkedIn
Senior Software Engineer - Systems and Infrastructure
LinkedIn, Mountain View, California, us, 94039
Senior Software Engineer - Systems and Infrastructure
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Pay found in job post Retrieved from the description.
Base pay range $139,000.00/yr - $229,000.00/yr
Company 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.
Job Description This role will be available in Mountain View, or other US office locations. At LinkedIn, our approach to flexible work is centered on trust and is 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.
We're building the next-generation data infrastructure, including storage, streams, media and analytics platforms. Help us scale LinkedIn infrastructure to handle massive data growth across the LinkedIn ecosystem as we experience dramatic growth in membership and products. Bring your experience in distributed systems and algorithms and a strong systems orientation (multi-threading, concurrency, scalability, performance). You should understand frameworks for caching, queuing, and distributed data storage, and be excited to work on cutting-edge open-source systems.
What You’ll Do
Data Infrastructure: Build and support large-scale systems and tools that enable the generation of insights and data products on all of LinkedIn’s internal and external data via self-serve computing, reporting solutions, and interactive querying.
Search, Networks and Analytics: Build and operate the platform that powers all of search at LinkedIn—responding to thousands of queries per second with target latencies in tens of milliseconds.
Service: Provide the technical platform for all of LinkedIn Engineering to build services, which are the essential unit of development and deployment.
Content and Community: Deliver the systems and algorithms that generate and serve feeds of professionally relevant activities and content.
Basic Qualifications
B.S. or higher in Computer Science or related technical discipline, or related practical experience.
Demonstrated knowledge and experience with object-oriented programming languages.
Preferred Qualifications
2+ years of relevant work experience.
Experience building distributed, Internet-scale systems.
Experience building and applying frameworks for one or more of the following: caching, queuing, RPC, parallelism, and/or distributed knowledge.
Thorough knowledge of multi-threading, concurrency, and parallel processing technologies.
Experience with industry, open-source projects and/or academic research in large-data, parallel and distributed systems.
Published work in academic conferences or industry circles.
Suggested Skills
Data Structures & Algorithms
Distributed Systems
Operating Systems
Cloud Computing
Benefits 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 $139,000 to $229,000. 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: LinkedIn is an equal opportunity employer. We consider 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. Reasonable accommodations are available. LinkedIn will not discriminate for pay inquiries.
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 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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Pay found in job post Retrieved from the description.
Base pay range $139,000.00/yr - $229,000.00/yr
Company 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.
Job Description This role will be available in Mountain View, or other US office locations. At LinkedIn, our approach to flexible work is centered on trust and is 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.
We're building the next-generation data infrastructure, including storage, streams, media and analytics platforms. Help us scale LinkedIn infrastructure to handle massive data growth across the LinkedIn ecosystem as we experience dramatic growth in membership and products. Bring your experience in distributed systems and algorithms and a strong systems orientation (multi-threading, concurrency, scalability, performance). You should understand frameworks for caching, queuing, and distributed data storage, and be excited to work on cutting-edge open-source systems.
What You’ll Do
Data Infrastructure: Build and support large-scale systems and tools that enable the generation of insights and data products on all of LinkedIn’s internal and external data via self-serve computing, reporting solutions, and interactive querying.
Search, Networks and Analytics: Build and operate the platform that powers all of search at LinkedIn—responding to thousands of queries per second with target latencies in tens of milliseconds.
Service: Provide the technical platform for all of LinkedIn Engineering to build services, which are the essential unit of development and deployment.
Content and Community: Deliver the systems and algorithms that generate and serve feeds of professionally relevant activities and content.
Basic Qualifications
B.S. or higher in Computer Science or related technical discipline, or related practical experience.
Demonstrated knowledge and experience with object-oriented programming languages.
Preferred Qualifications
2+ years of relevant work experience.
Experience building distributed, Internet-scale systems.
Experience building and applying frameworks for one or more of the following: caching, queuing, RPC, parallelism, and/or distributed knowledge.
Thorough knowledge of multi-threading, concurrency, and parallel processing technologies.
Experience with industry, open-source projects and/or academic research in large-data, parallel and distributed systems.
Published work in academic conferences or industry circles.
Suggested Skills
Data Structures & Algorithms
Distributed Systems
Operating Systems
Cloud Computing
Benefits 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 $139,000 to $229,000. 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: LinkedIn is an equal opportunity employer. We consider 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. Reasonable accommodations are available. LinkedIn will not discriminate for pay inquiries.
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 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.
#J-18808-Ljbffr