Cyber Security

Overview

• Senior Cybersecurity Engineer specializing in Data Scanning. Serve as a technical lead, providing both technical project oversight and hands‑on implementation, configuration, and support of enterprise data scanning solutions.
• Lead data scanning initiatives from initial concept through operationalization, offering technical guidance, troubleshooting complex issues, performing root‑cause analysis, and driving continuous solution maturation and optimization.

This position is a full‑time role with an expected 40‑hour work week, typically Monday through Friday from 8:00 a.m. to 4:30 p.m. Occasional evening or weekend work may be required to support project demands, deployment activities, or feature release schedules.

• Provide technical guidance and collaboration with other Cyber Security Engineers supporting technologies within the designated area of focus (Data Scanning).
• Evaluate technical solutions in response to business challenges.
• Provide thought leadership in support of continuous improvement and service maturation.
• Present technical solutions for knowledge sharing and acceptance.
• Provide project support and status reporting.
• Establish and maintain supporting documentation (architecture/data flow diagrams, runbooks, Service Now tickets, user stories and tasks).
• Attend and participate in team meetings, standups, and other team ceremonies.
• Collaborate with partnering teams in support of solution development and deployment.

• Strong team player, able to communicate and show leadership among teams of similarly knowledgeable specialists and engineers.
• Minimum 3–5 years’ experience with system design, administration, and security.
• Minimum 3–5 years’ experience with networking (TCP/IP, firewall rules, DNS and proxy config).
• Minimum 3–5 years’ experience with data scanning and classification tools (BigID, Varonis).
• Experience working with Incident, Problem, and Change Management.
• Experience with Linux Administration.
• Experience with container platforms (AKS, Docker, Helm).
• Proficient and professional verbal and written communication skills.
• Practical understanding of machine learning and automation.

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field/equivalent work experience.
• Active CISSP Certification.