Lead Cybersecurity Defense Engineer - Burlington Stores

Key Responsibilities

• Define and execute the technical roadmap for defensive security, ensuring scalable detection, response, and automation capabilities across the enterprise.
• Architect, develop, and maintain advanced detection rules and analytics in SIEM platforms such as Splunk, integrating threat intelligence and machine‑learning models.
• Lead incident response efforts, conduct root‑cause analysis, and create playbooks that reduce mean time to detect and respond.
• Design and implement security automation workflows using Python, APIs, and cloud services (e.g., AWS) to streamline repetitive tasks and improve operational efficiency.
• Collaborate with cross‑functional teams to perform threat modeling, risk assessments, and security architecture reviews.
• Mentor and guide a team of security engineers, fostering a culture of continuous improvement and knowledge sharing.

Requirements

• 7+ years of hands‑on experience in defensive security, including detection engineering, incident response, and security automation.
• Deep expertise with SIEM technologies (Splunk, QRadar, or similar) and scripting in Python.
• Proven experience designing threat models and implementing security controls in cloud environments, preferably AWS.
• Strong understanding of network protocols, operating systems, and common attack vectors.
• Excellent communication and leadership skills, with a track record of mentoring technical teams.