Cybersecurity - Automation of Fusion Rules/Indicators Engineer

2 weeks ago


Charlotte, United States RKube Inc Full time

This is a W2 position and no C2C. only.

Our company is looking for a talented Automation Engineer to be placed with our client, a leading technology firm, who is serving a prestigious end client in the cybersecurity sector. The successful candidate will focus on the automation of Fusion Rules and Indicators, playing a crucial role in enhancing the threat detection and response capabilities for the end client.

Key Responsibilities:
- Design, develop, and implement automation solutions for fusion rules and indicators within the end client's security infrastructure.
- Collaborate with security analysts, threat intelligence teams, and other stakeholders to understand requirements and translate them into automated processes.
- Maintain and optimize existing automation scripts and tools to ensure efficiency and effectiveness.
- Conduct regular reviews and updates of fusion rules and indicators to adapt to evolving threat landscapes.
- Perform testing and validation of automated processes to ensure accuracy and reliability.
- Develop documentation and provide training to team members on the use of automated tools and processes.
- Monitor and analyze the performance of automated systems and make improvements as necessary.
- Stay current with industry trends and advancements in automation and cybersecurity to continuously improve capabilities.

Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, Cybersecurity, or a related field.
- Proven experience in automation engineering, preferably within a cybersecurity context.
- Strong programming skills in languages such as Python, PowerShell, or other relevant scripting languages.
- Experience with security information and event management (SIEM) systems and threat intelligence platforms.
- Knowledge of fusion rules, indicators of compromise (IOCs), and threat detection methodologies.
- Familiarity with automation frameworks and tools such as Ansible, Puppet, Chef, or similar.
- Strong analytical and problem-solving skills, with attention to detail.
- Excellent communication and collaboration skills.

Preferred Qualifications:
- Experience with machine learning and AI-based approaches to threat detection and response.
- Relevant certifications such as CISSP, CEH, or SANS GIAC.
- Knowledge of regulatory and compliance requirements related to cybersecurity.
- Experience working in an Agile development environment.

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