Senior Anti-Abuse Security Engineer (Cybersecurity)

TL;DR

Senior Anti-Abuse Security Engineer (Cybersecurity): Designing, building, and operating systems to protect hirify.global's platform and customers from abuse, misuse, and fraud with an accent on developing prevention controls, detections, and automation. Focus on mitigating abuse activity across the ecosystem, addressing risks like Account Take Overs, data exfiltration, and insider threats.

Location: Onsite in Bellevue, Washington or Menlo Park, California, USA

Salary: $176,000 - $253,000

Company

hirify.global is a rapidly growing company building the world’s greatest data and applications platform, committed to innovation and collaboration.

What you will do

• Understand the abuse risks faced by hirify.global and its customers.
• Design and deploy anti-abuse controls addressing risks such as Account Take Overs (ATO), data exfiltration, and insider threats.
• Help illustrate abuse risks, threats, and exploits to cross-functional teams.
• Research, plan, and build anti-abuse architectures for hirify.global products and features.
• Provide designs and reference implementations for new anti-abuse features.
• Research new services, controls, or features to protect the product and customers.

Requirements

• Bachelor's degree in Computer Science or related technical field or equivalent practical experience.
• 4+ years of experience with anti-abuse space, insider threats, detections, threat hunting, and incident response.
• Understanding of common abuse patterns (e.g., ATO, exfiltration, insider threats, spam, fraud, privilege misuse).
• Proficiency in Python, SQL, or a similar language for building detections and data pipelines.
• In-depth knowledge of anti-abuse solutions, network security, and/or infrastructure security.
• Ability to assess engineering designs and architecture diagrams for abuse risks and communicate abuse risks and roadmaps.

Nice to have

• Master's degree or PhD in Computer Science or related technical field.
• Experience with cloud environments (AWS, GCP, Azure) and their security/abuse detection tooling.
• Familiarity with ML-based detection systems, feature engineering, or anomaly detection methods.

Culture & Benefits

• Work in a culture that’s all in on impact, innovation, and collaboration.
• Opportunity to innovate on new ideas and create work with a lasting impact.
• Be part of a fast-growing team, helping to enable and accelerate growth.
• Join a company committed to building the world’s greatest data and applications platform.