Software Engineer II - Insider Risk
Build identity verification and fraud detection systems to protect organizations from insider threats.
Posted by employer 1 day ago
First seen on Joblaze 2 hours ago
Last verified on the company career page 2 hours ago
What you'll build
- Build identity verification and fraud detection systems
- Develop correlation engines for candidate details
- Create high-availability pipelines for data analysis
- Ship automated guardrails for high-risk candidates
- Collaborate across security, platform, and data teams
Must have
- 2+ years building software applications
- Experience productionizing large-scale, data-intensive systems
- Strong debugging skills with logs, metrics, and behavioral signals
- BS in CS/SE/IS or a related field
Nice to have
- Experience with Go and Python
- Experience in fraud detection or identity verification
- Background in cybersecurity focused on insider threats
- Experience with big data, statistics, and ML
AI in the day-to-day
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews.
Requirements
- Experience
- 2+ years
- Education
- Bachelor's degree
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In this role, the Software Engineer II focuses on developing systems for identity verification and fraud detection during the hiring process. Key skills include experience with large-scale data systems, proficiency in programming languages like Go and Python, and a strong foundation in debugging and problem-solving. This position is ideal for someone with a background in cybersecurity or fraud detection, particularly those who can navigate complex security requirements. The team is dedicated to enhancing AI-native security solutions to safeguard organizations against insider threats.
Joblaze insights
- Listed today on Joblaze — tracked directly from Abnormal Security's career page.
- Abnormal Security has 79 other open roles including L1 Technical Support Engineer, Enterprise Account Executive - Chicago, Sr. Customer Success Manager, Federal.
- 6546 active Python roles on Joblaze right now.
- 1984 active Go roles on Joblaze right now.
- Salary band is below the typical range for Security roles (median ~$168,000).
- Pays more than 42% of the 3239 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- Is the Software Engineer II - Insider Risk role remote?
- It's hybrid — Abnormal Security expects some on-site time in San Francisco, CA, United States.
- What's the salary range?
- Abnormal Security lists $149,200–$214,500 for this role.
- How much experience is required?
- At least 2 years of relevant experience for this Software Engineer II - Insider Risk role.
- Where is the role based?
- Abnormal Security is hiring for this position in San Francisco, CA, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Go, Python.
- What seniority level is this role?
- Abnormal Security targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer II - Insider Risk role at Abnormal Security.
From the original posting
About the Role
As organizations face increasingly sophisticated social engineering and insider threats, the very foundation of trust—the employee identity—is under attack. Abnormal’s Identity Security team is building a groundbreaking product to detect and prevent fraudulent employee identities, specifically targeting high-stakes threats like infiltrators seeking to funnel funds through deceptive employment. We use advanced behavioral intelligence to scrutinize candidate details—from resumes and application metadata like IP addresses, email addresses, and phone numbers—to identify suspicious patterns and prevent malicious actors from entering the workforce. We are extending Abnormal’s leadership in AI-native security to protect the integrity of the modern enterprise at the point of hire.
What you will do
- Build identity verification and fraud detection systems to scrutinize candidate data during the application process.
- Develop sophisticated correlation engines that match candidate details (IPs, phone numbers, email history, resume metadata) against known indicators of fraudulent or state-sponsored activity.
- Create high-availability pipelines that ingest and analyze signals from application tracking systems (ATS), identity providers, and external risk intelligence.
- Ship automated guardrails that flag high-risk candidates in real-time, enabling security teams to act before an infiltrator is onboarded.
- Drive 0→1 iteration: prototype quickly, test fraud detection assumptions, learn from emerging threat patterns, and scale simple, effective solutions.
- Collaborate across security, platform, and data teams; write and review technical designs; and participate in core SDLC rituals.
Must Haves
- 2+ years building software applications.
- Experience productionizing large-scale, data-intensive systems.
- High velocity and creativity in solving technical challenges related to fraud detection and pattern matching.
- Experience & desire to adopt & improve AI-native development workflows.
- Strong debugging skills with logs, metrics, and behavioral signals.
- Ability to translate complex security and business requirements into high-quality software.
- Ability to independently solve complex problems and work cross-functionally.
- BS in CS/SE/IS or a related field.
Nice to Have
- Experience with Go and Python.
- Experience in fraud detection, identity verification, or anti-money laundering (AML) systems.
- Background in cybersecurity, specifically focused on insider threats or nation-state actor TTPs (Tactics, Techniques, and Procedures).
- Experience with big data, statistics, and ML for identity/behavioral risk modeling and anomaly detection.
#LI-NT1
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
A note on AI in our process:
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
Similar positions
Explore more