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Software Engineer - Insider Risk
Job in
Coos Bay, Coos County, Oregon, 97458, USA
Listed on 2026-02-28
Listing for:
Abnormal Security
Full Time
position Listed on 2026-02-28
Job specializations:
-
Software Development
Software Engineer
Job Description & How to Apply Below
Employer Industry: Cybersecurity
Why consider this job opportunity- Salary up to $175,000
- Eligibility for bonuses and restricted stock units (RSUs)
- Opportunity for career advancement and growth within a cutting‑edge technology environment
- Collaborative work culture with cross‑functional team engagement
- Chance to contribute to innovative solutions in identity verification and fraud detection
- Work in a high‑impact role focused on enhancing security measures against insider threats
- Build identity verification and fraud detection systems to scrutinize candidate data during the application process
- Develop sophisticated correlation engines that match candidate details against known indicators of fraudulent activity
- Create high‑availability pipelines that ingest and analyze signals from application tracking systems and external risk intelligence
- Implement automated guardrails that flag high‑risk candidates in real‑time for security team intervention
- Collaborate with security, platform, and data teams to write and review technical designs and participate in core software development lifecycle (SDLC) rituals
- Minimum of 2 years building software applications
- Experience in product ionizing large‑scale, data‑intensive systems
- Strong problem‑solving abilities with a focus on fraud detection and pattern matching
- Proficiency in debugging using logs, metrics, and behavioral signals
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field
- Experience with Go and Python programming languages
- Background in fraud detection, identity verification, or anti‑money laundering (AML) systems
- Knowledge of cybersecurity, particularly related to insider threats or nation‑state actor tactics
- Familiarity with big data, statistics, and machine learning for identity and behavioral risk modeling
"We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position.
Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer."
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