Fullstack Engineer- Personalization Platform

LinkedIn; Mountain View (CA); Hybrid; USD 124,000 - 167,000; Full time

Job summary

LinkedIn in Mountain View is seeking a Fullstack Engineer to join the Personalization Platform. You will help build the infrastructure that delivers personal, context-aware experiences across LinkedIn’s products for billions of members and customers.

You’ll scale distributed applications, implement both synchronous and asynchronous designs, and ship high-quality, tested code. A BS in CS or related field plus 1+ years of experience completed the profile.

Qualifications

• Proven experience designing and building scalable web services.
• Strong CS fundamentals in data structures, algorithms, and software design.
• Experience with web development and service-oriented architectures.

Responsibilities

• Scale distributed applications and design trade-offs between synchronous and asynchronous patterns.
• Develop multi-tier, high-volume, reliable user-centric applications.
• Deliver high-quality, unit-tested code with CI processes.
• Provide technical leadership to drive cross-functional programs.

Skills

API Development

Performance Optimization

Education

BA/BS in Computer Science or related technical field

Job description

Fullstack Engineer- Personalization Platform

• Full-time
• Workplace Type: Hybrid

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.

At LinkedIn, our approach to flexible work is centered on trust and 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.

Team Description

You will be part of the team responsible for building and evolving LinkedIn’s personalization platform – the foundational infrastructure that enables every product team across LinkedIn to deliver personalized, intelligent, and context-aware experiences to over a billion members and enterprise customers.

The personalization platform team makes every interaction on LinkedIn more relevant, valuable, and effective – enabling members to discover the right opportunities, connect with the most meaningful people and content, and help enterprise customers find and engage the right talent, leads, or learners. By empowering these experiences, we help members become more productive and successful while enabling organizations to achieve their business goals more efficiently.

The systems the team builds empowers LinkedIn’s product teams to rapidly experiment, learn, and deliver differentiated experiences that drive member satisfaction, engagement, and enterprise productivity.

Responsibilities

You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.

You will develop multi-tier scalable, high-volume performing, and reliable user-centric applications that operate 24x7.

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-wide critical programs. Identify, leverage, and successfully evangelize opportunities to improve engineering productivity.

BA/BS in Computer Science or related technical field or equivalent practical experience

1+ years of industry experience in software design, development, and algorithm related solutions

Preferred Qualifications

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

Expert knowledge of computer science, with strong competencies in data structures, algorithms, and software design.

Experience building web applications and services with IDEs, ant, JUnit, etc.

Experience with relational databases (transactional and non-transactional), database architecture, and distributed transaction management.

Suggested Skills

API Development

Performance Optimization and Monitoring

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 $124,000 - $167,000. 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

We seek candidates with a wide range of perspectives and backgrounds and we are 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 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.

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.

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 this link: https://lnkd.in/paytransparency.

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