Threat Detection Engineer at Intelliswift Software Inc
San José, Provincia de San José, Costa Rica -
Full Time


Start Date

Immediate

Expiry Date

13 Jul, 25

Salary

56.34

Posted On

06 Jun, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Anomaly Detection, It, Computer Science, Security, Communication Skills, Data Analysis, Machine Learning, Azure, Threat Intelligence, Automation, Code

Industry

Information Technology/IT

Description

Job Title: Threat Detection Engineer
Location: San Jose, CA (Remote to candidates all over US)
Duration: 8 months
Contract Type: W2 only
Pay Rate: $56.34/Hour

Duties:

  • Threat Detection Library Development and Maintenance: Design, develop and maintain a comprehensive threat detection library including rules, alerts, and dashboards used to identify and respond to malicious activity.
  • Deliver detection instrumentation across a variety of data, tools and technologies including but not limited to endpoint, network, cloud, and identity platforms.
  • Develop and scale detection, mitigation, and response automation tooling.
  • Collaborate with other security engineers, analysts, threat hunters, threat intelligence, and red team to build effective threat detection capabilities.

Skills:

  • Hands on experience with cyber threat detection engineering, anomaly detection, risk scoring and behavior analytics as it applies to security.
  • Proven experience in building detection logic to identify suspicious or malicious behavior.
  • Solid understanding of threat intelligence, attacker methodology, and hardware/network forensics.
  • Experience with SIEM platforms (Splunk ES preferred).
  • Excellent analytical and problem-solving skills with the ability to think critically and under pressure.
  • Familiarity with CSIRT/SOC analyst and Incident Response procedures.
  • Strong written and verbal communication skills.
  • Collaborative outlook and ability to multi-task in a fast paced environment.
  • Experience with cloud security platforms (AWS, Azure, GCP).
  • Proficiency in Python scripting for automation and data analysis is a plus.
  • Experience EDR and/or CSPM is a plus.
  • Experience with Detection-as-Code or CI/CD is a plus.
  • Experience with Databricks or SQL-like query languages is a plus.
  • Experience with Splunk SOAR/Phantom or other SOAR technologies is a plus.
  • Experience with Machine learning, AI, LLMs is a plus.

Education:

  • Bachelor’s degree in Cybersecurity, Computer Science, or a related field, or equivalent practical experience in cybersecurity.
Responsibilities
  • Threat Detection Library Development and Maintenance: Design, develop and maintain a comprehensive threat detection library including rules, alerts, and dashboards used to identify and respond to malicious activity.
  • Deliver detection instrumentation across a variety of data, tools and technologies including but not limited to endpoint, network, cloud, and identity platforms.
  • Develop and scale detection, mitigation, and response automation tooling.
  • Collaborate with other security engineers, analysts, threat hunters, threat intelligence, and red team to build effective threat detection capabilities
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