Detection Efficacy & Performance Engineer

At ReversingLabs, our software supply chain security and threat intelligence solutions have become essential to advancing cybersecurity maturity around the globe. We're on a journey to expand adoption and accelerate growth by hiring top talent across the security industry. Notable breaches such as SolarWinds, CircleCI, and 3CX have elevated software supply chain security as a top initiative across every organization developing or purchasing software. Only ReversingLabs delivers the software package analysis speed and intelligence needed to protect against this critical area of risk. Our vision is clear. Arming every company with end-to-end insights to ensure development releases securely, IT purchases safely, and the SOC can effectively detect, isolate, and respond. *For this position we are only considering candidates that are already based in Croatia! Role Overview We are looking for an engineer with a strong analytical mindset to design, execute, and communicate detection efficacy, false-positive, and performance evaluations across ReversingLabs products. This position combines technical testing, data analysis, and result interpretation to support both internal product improvement and customer-facing efficacy reporting. The focus is on understanding and demonstrating real-world detection quality and performance while working closely with product, engineering, and data teams. Key Responsibilities Design and run efficacy and performance tests for ReversingLabs products and components. Measure and report detection accuracy, false-positive rates, and scan performance on internal and representative external datasets. Produce structured efficacy reports for customers and internal stakeholders that clearly explain strengths, trade-offs, and paths for improvement. Build and maintain benchmark datasets (malicious, suspicious, and clean samples) for repeatable testing. Develop automation pipelines and dashboards together with other teams to track detection quality and performance over time. Collaborate with engineering and product teams to identify and validate detection improvements. Support sales and customer success with data-driven materials demonstrating detection quality. Ensure transparency and reproducibility through clear test design and documentation Degree in Computer Science, Cybersecurity, Mathematics, Statistics, or a related field (or equivalent practical experience). Experience in software or security testing Solid scripting and data analysis skills (e.g., using Python, R, or similar). Basic understanding of statistics and test and dataset design (e.g., sample representativeness, confidence intervals, result interpretation). Basic understanding of malware, threat classification, and false positives. Good written communication skills in English — able to clearly describe technical findings and results. Collaborative and structured approach to testing and documentation. Nice to Have Experience working with malicious and clean datasets. Familiarity with false-positive analysis, threat classification, or threat-level evaluation. Exposure to AMTSO or 3rd-party testing methodologies, or industry comparative testing. Interest in ML-based detection evaluation or statistical model validation. Curiosity about data quality and quantitative validation of detection results. Hybrid work options (paid accommodation & transportation to Zagreb during onboarding for remote employees) Flexible working hours Generous compensation and a bonus system based on annual performance Hefty personal education budget and possibility to attend leading conferences and seminars in the field Company library and possibility to order books of choice via Amazon Permanent contract in a fast-growing global company with Fortune 500 & governmental agencies as clients Challenging projects in a dynamic, collaborative team Opportunity to work on innovative solutions for malware analysis & threat hunting domain, crafted in our very own Croatian R&D center Great career advancement opportunities - clear goals & internal promotions Employee referral bonus program: EUR 1,060 net for junior position, EUR 2,123 net for mid to senior positions, and EUR 2,654 net for principal/managerial positions Multisport card, annual health checkup, newborn child allowance, rent-cost, and 3rd pillar pension benefits Wellness Weekends - quarterly, company-wide three day weekend, starting with a company paid Friday off for all employees Fully covered car garage in Radnička cesta for all employees #LI-MV1