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, 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.

Securing data is core to building a secure production infrastructure and thereby ensure the trust of our members. Our vision as the SecInfra team is to ensure that every resource at LinkedIn is provided a non-repudiable identity that is used for secure inter service communication, every access to data at LinkedIn is safe and all secret material is cryptographically protected. Our mission is to make this security infrastructure intuitive, performant, and secure. We build highly reliable and scalable services and developer-friendly infrastructure that enable engineering teams across the company to create and integrate secure features and proactively protect our members’ data. We are responsible for securing all of LinkedIn’s microservices and large scale data systems such as Kafka and LinkedIn’s NoSQL data stores.

As a staff software engineer, you will be responsible for leading and executing on complex projects and developing scalable services and developer-friendly libraries and APIs to empower LinkedIn to defend against the misuse of data/resources. The team is at an exciting juncture with a multi-year roadmap for the next generation of innovative security solutions. Particularly, we are focused on solving complex authentication/authorization/cryptography problems as part of Meru and producing industry first solutions at scale, and you will play a key role in helping us execute on our vision. We are looking for an engineer with sound technical acumen, and the enthusiasm to learn, grow, and lead. Trust is a key building block in LinkedIn’s commitment to putting our members first, and you will be an important part of that commitment.

Responsibilities:

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.

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.

Identify, leverage, and successfully evangelize opportunities to improve engineering productivity.

You will participate in key technical and design discussions with technical leads in the team

You will collaborate with other teams and partners to define and execute on projects

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 GoLang, Python, Java, Javascript, C/C++, C#, Rust.

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 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.

Prior experience with Security and/or Cryptography strongly preferred.

Suggested Skills:

• Distributed systems

• Backend Systems Infrastructure

• Java/Golang/Rust/Python

• Technical Leadership

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 $147,000 - $240,000. 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 accommodations@linkedin.com 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