Apprentice Engineer - Backend

Apprentice Engineer- Backend

Mountain View, CA

This role is not eligible for visa sponsorship. Applicants must be authorized to work in the US for LinkedIn without requiring visa sponsorship now or in the future.

This role has been created as part of a partnership between LinkedIn and YearUp. Eligible applicants must meet the basic qualifications, currently be employed through YearUp in an engineering or technical internship at LinkedIn or have graduated in the past year. Please note, external applicants who do not meet these criteria should not apply to this role. Instead, please visit the following website for the appropriate job posting to apply: https://careers.linkedin.com/reach/Backend

To learn more about the program and the application questions and timeline, please visit: careers.linkedin.com/reach.

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. Join us to transform the way the world works.

REACH Program

REACH is a multi-year program where individuals with passion for engineering will work in technical roles to build their skill set and gain the experience needed to become an Engineer at LinkedIn. The time each apprentice spends in this program will vary depending on their incoming skill set, experience, and progress through the program. This program is designed for candidates who have non-traditional career paths and we strongly encourage those candidates to apply. This includes but is not limited to: candidates without Computer Science degrees who are self-taught, those that are re-entering the workforce, individuals switching careers, or those who have attended boot camp style programming courses.

Hybrid Work

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.

Backend Apprenticeship

As an Apprentice Engineer – Backend (BE), you will be placed on an engineering team at LinkedIn and build scalable infrastructure or backend business logic to support product use cases. You will help us scale LinkedIn’s infrastructure to handle massive data growth across the LinkedIn ecosystem as we experience dramatic growth in membership and products. You will utilize distributed systems and algorithms, develop applications at scale, learn from fellow engineers and managers, and build key skills that can be applied to a future career in engineering. Apprentices will also be provided a percentage of time to focus on their own personal technical development, using both internal and external educational resources.

Is the BE Engineering apprenticeship a good fit for me?

The Backend Engineer position could be for you if you want to work on backend systems for advanced information-retrieval algorithms, massive scalability infrastructure and storage solutions, and large-scale applications for users on web and mobile devices.

Job Responsibilities:

● Contribute a unique perspective and creative approach to solving problems at LinkedIn.

● Continue to learn and develop your skills as a software engineer.

● Under the mentorship and guidance of seasoned LinkedIn engineer, produce high quality software that is tested, code reviewed, and checked in regularly for continuous integration.

● Develop and apply the ability to scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with an appropriate amount of urgency and quality.

● Gain experience in developing multi-tier scalable, high-volume, performant, and reliable user-centric applications that operate 24x7

Basic Qualifications:

• Must have participated in an engineering or technical YearUp internship at LinkedIn, with at least 3+ months of direct coding experience, acquired through work experience, technical courses, trainings, or other relevant coding involvement

• Demonstrated history of independent coding related projects or solving problems with code. There is a wide range of activities that will qualify. Examples include, but are not limited to:

• Open source contributions

• Personal projects hosted on Github, etc.

• Hardware hacking with tools like Arduino

• Automating job functions via scripting or macros

• Complex spreadsheet formula creation or maintenance

• Querying databases

• Experience with any object-oriented programming language

Preferred Qualifications:

• Understanding of CS basic concepts: variables, recursion, algorithms, data structures, object orientation, error handling, callbacks, etc. Knowing what some of these are will make it easier for you to learn more complex software topics

• History of coding related projects and/or courses that include full-stack and/or backend development and programming languages

• Linux operating system fundamentals: scripting, pipes, and automation

• Experience building distributed, internet-scale systems

• Knowledge of multi-threading, concurrency, parallel processing and distributed computing technologies

• Demonstrated a compelling desire to have a career in software engineering and a strong passion for coding

• Ability to clearly articulate your perspective

• Entrepreneurial mindset to bring in a new and unique perspective to the team

• The desire to learn and develop your skills in the computer science field

• Knowledge of mid-tier and backend development

Suggested Skills:

• Problem Solving

• Analytical thinking

• Experience with coding in object-oriented languages

LinkedIn is committed to fair and equitable compensation practices.

The pay range for this role is $80,000 to $107,000. 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 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://lnkd.in/equalemploymentopportunity2017. Please reference http://www1.eeoc.gov/employers/upload/eeoc_self_print_poster.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