Staff Software Engineer Trust Incident Management

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. 

This role will be hybrid in LinkedIns Mountain View campus.

LinkedIn is home to the worlds largest professional community and keeping it safe requires world-class defense. The Trust Incident Management team leads LinkedIns response to fraud abuse and emerging threats combining engineering excellence with rapid incident response to protect our members at scale. We build and operate the systems that detect mitigate and prevent sophisticated attacks in real time. Our work is fast-paced technically challenging and directly impacts the trust and safety of over a billion professionals worldwide. 

What Youll Work On 

• Adversarial engineering at scale. Bad actors evolve daily. Youll design and ship defenses that stay ahead of sophisticated coordinated attacks targeting a billion-member platform. 

• High-signal high-stakes detection. Build systems that separate real threats from noise in real time with immediate impact on member safety. 

• Novel abuse patterns. From credential theft to coordinated inauthentic behavior youll tackle problems that dont have playbooks yet. 

• Cross-functional collaboration. Work alongside data scientists investigators and platform engineers to dismantle threat actor operations end-to-end. 

Responsibilities 

• Orchestrate the response to large-scale sophisticated attacks defining investigation directions coordinating workstreams across teams and holding the broader team accountable for timely resolution. 

• Design and build scalable detection and mitigation systems that operate 24x7 improving techniques that surface new or unknown threats with reliable precision recall and speed. Deliver production-quality code that is well-tested peer-reviewed and continuously integrated. 

• Create and champion analytical research approaches threat modeling workflows and automation that can be adopted across teams to strengthen defense posture. 

• Drive cross-team consensus on defense trade-offs using data to navigate competing concerns such as product growth impact false positive rates and defense coverage gaps across engineering data science policy and legal stakeholders. Balance immediate incident response with long-term defense strategy accounting for how mitigation decisions affect attacker behavior over time. 

• Serve as incident commander for complex attacks maintaining investigation quality under pressure and creating efficiencies in intake escalation and risk communication. 

• Provide technical leadership and mentorship guiding the team on technology choices process decisions and engineering best practices while fostering a culture of continuous improvement. 

Qualifications :

Basic Qualifications 

• BA/BS Degree in Computer Science or related technical discipline or equivalent practical experience. 

• 4 years of experience in software design development and algorithmic problem-solving. 

• 4 years of programming experience in a major programming language (e.g. Python Java C TypeScript Swift) with proficiency in SQL. 

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. 

• Demonstrated technical leadership including mentoring engineers and driving architectural decisions across teams. 

• Domain experience in Trust & Safety Anti-Abuse Cybersecurity or Cybercrime. Familiarity with adversarial systems threat modeling or abuse detection patterns. 

• Programming experience with Python Java or Scala and SQL in large-scale data environments. 

• Experience designing and building large-scale distributed infrastructure and services. 

• Track record of analyzing complex data to identify outliers malicious behavior or emerging threat patterns. 

• Foundation in AI/ML or Data Science with experience applying these disciplines to detection classification or anomaly identification in adversarial contexts. 

• Experience with big data and streaming data technologies. 

Suggested Skills 

• Technical Leadership 

• Detection and Defense Systems Design 

• Threat Analysis and Incident Response 

• Data-Driven Investigation 

• Cross-Functional 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 $152000 - $248000. 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: Information :

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.

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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 LinkedIns legal duty to furnish information.

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Pursuant to the San Francisco Fair Chance Ordinance LinkedIn will consider for employment qualified applicants with arrest and conviction records.

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No

Employment Type :

Full-time