Security Engineer Intern

About the Role

The Security Engineer Intern joins the Endpoint Security Engineering (ESE) team to contribute to active security projects. The internship will focus on areas including device, data, AI, and SaaS security. The intern will work alongside senior engineers on project deliverables, milestone tracking, and supporting operational workstreams. The internship duration is approximately 12 weeks in Kirkland, Washington.

Key Responsibilities

• Project Participation
• Contribute to device security projects, including endpoint containment gap analysis, supply-chain provenance, and bring-your-own-device posture.
• Support data security projects, including data discovery, classification, and coverage tracking.
• Assist AI security initiatives, including usage monitoring, policy enforcement, and governance for AI tools and agents.
• Support SaaS security projects, including identity and access posture for productivity platforms.
• Help build and validate security telemetry and detection tooling, including alert validation and dashboard development.
• Support security assessments and vendor evaluations by gathering requirements, running tests, and documenting findings.
• Coordinate with ESE team members and cross-functional partners on project milestones and status reporting.
• Operational Workstreams
• Support the End of Life and Patching Program.
• Assist with penetration test initiation, follow-up, and escalation tracking.
• Coordinate and support security-related Problem Review Boards (PRBs).
• Support incident and task triage by working with internal security teams and other ServiceNow groups.
• Support the processing of Acceptable Use Policy violations.
• Provide training and enablement to Technical Support and SAM teams.
• Represent Security & Privacy in customer outreach and assist with escalation handling.

Qualifications

• Currently enrolled in an accredited university, working on a Masters degree in Computer Science or related field, with a graduation date of December 2027 or later.
• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
• Experience using or critically evaluating AI tools to improve workflows, decision-making, or problem-solving.
• Strong written and verbal communication skills, with comfort in customer-facing interactions.
• Ability to explain complex security issues clearly to peers, executives, and customers.
• Self-motivated, able to perform with limited supervision, and a collaborative teammate.