Staff Software Engineer - Marketplace Integrity

LinkedIn; Mountain View (CA); Hybrid; USD 156,000 - 255,000; Full time

Benefits offered by this job

Annual bonus

Stock options

Benefits

Job summary

LinkedIn is seeking a Staff Software Engineer for Marketplace Integrity to build scalable systems and data pipelines that combat automation abuse. You will drive architecture, lead cross-functional programs, and deliver reliable, high-volume services across our hybrid work model. Strong background in trust & safety and data-driven decision making is required.

The role emphasizes technical leadership, scalable design, and collaboration with multiple teams to enhance product integrity globally.

Qualifications

• BA/BS degree in CS or related technical discipline.
• 4+ years in software design, development, and algorithms.
• 3+ years in Trust & Safety or anti-abuse.
• Experience building scalable detection platforms.
• Experience with large data to derive insights.

Responsibilities

• Scale distributed applications with appropriate async/sync patterns.
• Build high-volume, 24x7 user-centric services.
• Deliver high-quality, unit-tested code with CI.
• Provide technical leadership across cross-functional programs.

Skills

Technical Leadership

Code Review & QA

Data analysis & insights

Mentoring & Knowledge Sharing

Trust & Safety

Education

BA/BS in CS or related technical discipline

Tools

IDE

Ant

JUnit

Relational Databases

Job description

Staff Software Engineer - Marketplace Integrity

• 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.

About the Team:

As a member of the Marketplace integrity team, you will be responsible for building scalable systems, applications, data pipelines and product integrations that use machine learning and statistical models to automatically fight any form of automation abuse including scraping, AI-slop and Agent detection. Bot detection including agents is a key area of focus which blends the state of art detection mechanisms, requires integration with third party vendors that provides rich telemetry data and should scale across all of the linkedin products.

Responsibilities:

You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, orchestrate 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

Basic Qualifications:

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

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

3+ years of experience in Trust and Safety, Anti-Abuse domain or similar.

Preferred Qualifications:

Experience building applications, platforms for detection, mitigation of adversarial actors.

Experience with working with massive amount of data to derive insights that can power decision making and steer the road map direction of the team.

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.

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:

Technical Leadership

Code Review and Quality Assurance

Data analysis and insights

Mentoring and Knowledge Sharing

Trust and Safety

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 $156,000 - $255,000. 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.

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