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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. This role is based out of our Sunnyvale office.

The mission of the Trust Engineering org is to build Trust into the LinkedIn economic graph. As one of the most important arms of Trust Engineering, the Incident Management Team plays a critical role in this mission. The Incident Management Team is the first line of defense against abuse of our members' accounts or systems. The team is tasked with detecting attacks, triaging attacks and mitigating damage to members or systems. In addition, the team develops cutting edge tooling and automation to assist in responding to attacks, and is an invaluable resource providing highly usable information about attackers, attack techniques and weaknesses in our systems to the Anti-Abuse team, and product team’s across LinkedIn.

We are looking for a Senior Software Engineer on the Trust Incident Response team.

Responsibilities:

As an Engineer on the Incident Response team you will be responsible for:

· Define strategies of incident response and research, work with managers to set up the team for success.

· Working with LinkedIn's Abuse Prevention infrastructure Team, AI/Machine Learning Team, Trust & Safety, Corp Communication, and Legal teams to respond to abuse attacks, identify attack signals, research to mitigate threats and work with product team to improve defenses

· Working with LinkedIn various security teams on identifying new attack trends and patterns, identifying bad actors, abusive usage, leading data-driven investigations, and creating proactive detection capabilities against malicious activity.

· Doing in depth research into potential abuse attacking vectors and further proof-of-concept on improving current defense, including, but not limited to, diving deep into data and code and running experiments on active products.

· Building automation tools that improve anti-abuse incident response and defense.

Basic Qualifications:

· BA/BS Degree in Computer Science or related technical discipline, or related practical experience.

· 2+ years industry experience in software design and development, with programming experience in Java, Python, or C/C++; with CS fundamentals, such as algorithms and data structures.

· 2+ years of data analytics experience, using SQL and working with databases.

Preferred Qualifications:

· Passionate in security research, exploring unknowns, analyzing security logs and investigating attacks; experience in reverse engineering and root cause analysis.

· Experience in analyzing complex data to find outliers and abuse.

· Ability to display the proper sense of urgency while addressing critical security issues quickly and working with multiple stakeholders to keep our members safe.

· Eagerness to explore unknown abuse or unexplained behaviors.

· Security design experience in infrastructure or applications.

· Working experience in big data, streaming data.

Suggested Skills:

· Experience leading engineers to tackle large-scale problems with software solutions

· Experience working with large data sets and developing insights

· Collaboration

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 $117,000 - $192,000. 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