Description

Key Skills: Python, SIEM, Log Analysis, Cybersecurity, Scripting, Detection Engineering, SQL, JSON, Regex, MITRE ATT&CK

Good to Have Skills: Understanding of malware, phishing, lateral movement, privilege escalation, and data exfiltration concepts. Familiarity with log management tools, APIs, and data parsing. Experience with academic projects, internships, labs, certifications, or hands-on practice related to cybersecurity. Knowledge of Securonix platform and threat detection methodologies.

Roles & Responsibilities:

• Shadow Detection Engineers and assist with L1 support for customer queries related to detection content.
• Analyze logs from different security technologies to identify patterns, anomalies, and suspicious behavior.
• Assist in creating, updating, and tuning detection content based on team guidance and requirements.
• Support the development of policies, threat models, dashboards, and reports within the Securonix platform.
• Perform quality assurance testing of detection content before production release to ensure accuracy.
• Validate detection logic using sample logs, test cases, and documented attack scenarios effectively.
• Document detection logic, assumptions, test results, and known limitations clearly for team reference.
• Stay updated on emerging threats, threat research, detection techniques, and community-published security content.
• Collaborate with Detection Engineers to improve detection accuracy and reduce false positives significantly.

Experience Required: Early-career position suitable for recent graduates or candidates with up to one year of experience. Strong analytical skills, basic coding or scripting knowledge, and interest in cybersecurity required.

Education: Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Engineering, or related field, or equivalent practical knowledge

Key Skills

Education

Any Graduate