LinkedIn was built to help professionals achieve more in their careers, and everyday millions of people use our products to make connections, discover opportunities and gain insights. Our global reach means we get to have a direct impact on the world’s workforce in ways no other company can. We are much more than a digital resume – we transform lives through innovative products and technology.
As a part of this world-class software engineering team, you will be charged with architecting, designing, developing, and supporting some Internet-scale features and infrastructures at LinkedIn. The ideal candidate will be excited for the challenge to transform and think critically on many computer science disciplines including product design, usability, building APIs and user-centric online applications, business logic, scaling performance, and 24x7 reliability.
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.
Responsibilities: - Scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality. - Develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7. - Produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration. - Identify, leverage, and successfully evangelize opportunities to improve engineering productivity.
Basic Qualifications: - BA/BS Degree in Computer Science or related technical discipline, or related practical experience. - 2+ years of distributed data systems/databases experience - 5+ years experience programming experience in Python and/or Java - 5+ years of UNIX systems engineering and/or systems administration experience
Preferred Qualifications: - 5+ years of relevant work experience - Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design - Experience with object-oriented design, coding, testing patterns, and programming languages - Proven coding skills in a high level language with interest and ability to learn other coding languages as needed - Experience troubleshooting unix stack and performance of large scale java applications
Suggested Skills: • Data Structures & Algorithms • Software Design • System Troubleshooting
India Disability Policy LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
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://legal.linkedin.com/candidate-portal
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