Postúlate en Kit Empleo: kitempleo.com.ar/empleo/mve8y

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, general 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

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/mve8y

📌 Sr. Detection Software Engineer (Córdoba)
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