Sr. Detection Software Engineer

About the position

We are partnering with a leading cybersecurity company dedicated to protecting organizations’ most critical assets and addressing their greatest risks—the vulnerabilities in people. Through a comprehensive suite of cloud-based solutions, the company empowers businesses worldwide to block targeted threats, secure sensitive data, and strengthen user resilience against cyber-attacks. The Opportunity You’ll be part of a global team that pushes boundaries to redefine cybersecurity, guided by our BRAVE core values: Bold in how we dream and innovate Responsive to feedback, challenges, and opportunities Accountable for results and delivering best-in-class outcomes Visionary in future-focused problem-solving Exceptional in execution and impact Key Responsibilities Design, test, and deploy advanced detection logic to identify suspicious or risky activities. Continuously refine detection logic to reduce false positives/negatives and improve accuracy Collaborate with Threat Researchers to integrate new attack techniques and indicators of compromise (IOCs) Work closely with Product Management to align detection capabilities with broader security goals and customer needs Analyze large datasets to uncover patterns of malicious behavior and account takeover attempts Troubleshoot detection issues and enhance system reliability Help shape the future of account takeover prevention by combining engineering, data analysis, and cybersecurity expertise. What We’re Looking For Must‑Have Skills Hands-on experience with Python (including Pandas) for data analysis. Strong skills in big data querying (AWS Athena preferred) Proven ability to analyze and parse large datasets Investigative skills to debug detection issues and improve accuracy Experience collaborating with cross-functional teams (threat intelligence, product management, engineering) Solid understanding of cloud applications and account security fundamentals Excellent communication skills in English Nice to Have Prior experience in a threat research or detection engineering role Familiarity with cybersecurity fundamentals such as behavioral analysis and threat detection Experience with data science tools (Spark, PySpark, AWS Sagemaker Notebook, Jupyter Notebook) Background in building supervised and unsupervised machine learning models for anomaly detection and data classification Exposure to large-scale SaaS security environments Contributions to open-source projects or security research communities Ability to thrive in a fast-paced, global team environment Work Environment Location: Córdoba, Argentina Employment Type: Full-time Collaborative, global team environment with cross-functional interaction Agile application development setting, emphasizing adaptability and continuous improvement Flexible work arrangements to support productivity and work-life balance Culture rooted in values of innovation, accountability, and teamwork

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