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.

　　This role can be based in Mountain View, CA.

　　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.

　　This role is part of the Productivity and Happiness (DPH) organization where you will get an opportunity to influence, transform, and create an amazing experience for developers at LinkedIn. We are a data driven organization and you will lead strategic investments to make step function improvements in the lives of LinkedIn developers. This spans multiple areas including but not limited to: Providing tools and infrastructure that creates delightful development experience; Provide and support application frameworks that empower LinkedIn Engineers to build member facing products; Provide actionable insights that leverages data and metrics; Provide tools and data that help LinkedIn teams listen to their customers; and most importantly deliver reliable and scalable infrastructure. You will have the opportunity to engage the industry-wide developer community and contribute to open-source software as well.

　　Responsibilities

　　You will build and ship software at scale that delivers impact.

　　You will improve all aspects of developer experience with a data driven mindset.

　　You will design and build tools and frameworks to automate development, testing, deployment, management, monitoring, data gathering and analysis of our 24x7 services and products.

　　You will develop and evangelize solutions to challenges faced by every product and infrastructure team at LinkedIn to improve developer happiness, productivity, and efficiency.

　　You will scale the infrastructure and tools required to keep our 6000+ developers in step when they are all sharing the same code, building and testing our software stacks, and releasing and deploying their services continuously without compromising site reliability.

　　You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute critical, large-scale, cross-functional, and company-wide programs.

　　Basic Qualifications

　　BA/BS Degree in Computer Science or related technical discipline, or related practical experience.

　　4+ years experience in software design, development, and algorithm related solutions.

　　4+ years programming experience in object-oriented programming languages such as Python, Java, Javascript, C/C++, C#, Objective-C.

　　Preferred Qualifications

　　BS and 8+ years of relevant work experience, MS and 7+ years of relevant work experience, or PhD and 4+ years of relevant work experience

　　Experience designing and building infrastructure and web services at large scale.

　　Knowledge of Internet protocols and network programming.

　　Experience working in a Unix environment (Linux preferred).

　　Experience in large-scale distributed systems and client-server architectures.

　　Experience in driving automated cloud management systems at scale.

　　Experience in containerization, cluster schedulers, infrastructure configuration and orchestration.

　　Experience in standard build tools (e.g. gradle, bazel) and version control systems (e.g. git).

　　Experience in Python development using frameworks like Django, Flask, Jinja, SQLAlchemy.

　　Knowledge and experience in Tomcat, Jetty, Netty, Apache/ATS, Scala/sbt, or Node.js.

　　Experience in working with SQL/NoSQL databases (e.g. MySQL, Dynamo, Cassandra, MongoDB)

　　Experience in messaging & big data systems/solutions (e.g. Spark, Presto, Alation, Hadoop, Kafka)

　　Suggested Skills

　　Object-oriented programming

　　Web services

　　Infrastructure

　　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 $144,000 - $235,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations.

　　The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For additional information, visit: https://careers.linkedin.com/benefits.

　　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 [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.

　　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