Sr. Detection Software Engineer

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