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LinkedIn Senior Software Engineer - iOS in Helena, Montana

LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunity for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills and gain insights. We believe amazing things happen when we work together in an environment where everyone feels a true sense of belonging, and that what matters most in a candidate is having the skills needed to succeed. It inspires us to invest in our talent and support career growth. Join us to challenge yourself with work that matters.

LinkedIn Learning is an online learning platform enabling individuals and organizations to achieve their objectives and aspirations. Our goal is to help people discover and develop the skills they need through a personalized, data-driven learning experience. LinkedIn Learning combines the industry-leading content from us, content from 3rd party learning providers with LinkedIn’s professional data and network. With more than 650 million member profiles and billions of engagements, we have a unique view of how jobs, industries, organizations, and skills evolve over time. From this, we can identify the skills you need and deliver expert-led courses to help you obtain those skills. We’re taking the guesswork out of learning.

The LinkedIn Learning Discovery team is looking for a talented iOS full stack Engineer to build features that help learners develop the skills they need. The team is focused on connecting Learners to the right content at the right time across both the Learning app and LinkedIn Flagship app. Owning iOS Learning app features including api development for Learning Homepage, Learning Search, and all learning discovery surfaces in the LinkedIn Flagship app. You’ll be responsible for collaborating closely with our Artificial Intelligence teams to deliver the best recommendations to our Learners, while also thinking deeply about the Learner user experience.

At LinkedIn, we trust each other to do our best work where it works best for us and our teams. This role offers both hybrid and remote work options, meaning you can 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, or this role can be performed remotely in most locations in the country of employment.

Responsibilities: * You will design and execute user-facing features for the native LinkedIn app on iOS devices by leveraging mobile operating system frameworks for multi-threading, persisting data, and managing user experience and graphics across multiple screen sizes. * You will use the latest cutting edge technologies and libraries suggested by Apple for building responsive native apps for iOS. * You will build scalable and performant server side APIs * You will build scalable native mobile apps using LinkedIn’s internal libraries. * You will make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality. * You will produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration. * You will provide technical leadership, driving and performing best engineering practices to initiate, plan, and execute large-scale, cross-functional, and company-wise critical programs. * You will identify, leverage, and successfully evangelize opportunities to improve engineering productivity.

Basic Qualifications: * BS (or higher, e. . , MS, or PhD) in Computer Science or related technical field involving coding (e. . , physics or mathematics), or equivalent technical experience . * 2+ years of industry experience.

Preferred Qualifications: * BS and 5+ years of relevant work experience, MS and 4+ years of relevant work experience, or PhD and 2+ years of relevant work experience. * Foundation in computer science with a strong understanding of data structures, object-oriented programming, and algorithms. * Knowledge of common mobile application design patterns (MVC, MVVM, MVP, etc. ) * Understanding of best practices for multithreading and performance optimizations. * Knowledge of iOS debugging tools including profiling app performance. * Experience in writing automated tests for iOS apps and APIs

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 $109,000 to $182,000. 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. . /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. /equalemploymentopportunity2017. Please reference http://www1. . /employers/upload/eeocselfprintposter. and https://www. . /ofccp/regs/compliance/posters/pdf/OFCCPEEOSupplementFinalJRFQA_508c. 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 accommodations@linkedin. 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. /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. /GlobalDataPrivacyNotice

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