Security Engineer

Role Overview

• Design and build AI-powered security scanning agents using Claude Code, LLM APIs, and custom tooling to continuously monitor codebases and infrastructure for vulnerabilities
• Develop automated remediation workflows that can propose fixes, create pull requests, and integrate security improvements directly into development pipelines
• Create evaluation frameworks to measure the effectiveness of AI security agents against known vulnerability databases (CVE, OWASP Top 10, CWE)
• Build CLI tools and integrations that embed security scanning into developer workflows, CI/CD pipelines, and production monitoring systems
• Establish benchmarks and metrics for AI-driven security detection, including false positive rates, coverage analysis, and remediation success rates
• Collaborate with development teams to improve AI agent performance through custom skills, prompt engineering, and model fine-tuning
• Maintain security compliance standards for K-12 educational data (FERPA, COPPA, state privacy laws) through automated verification systems
• Research and implement emerging AI security techniques, including adversarial testing of AI systems and LLM-specific vulnerabilities

Requirements

• Senior Level: 5+ years of professional experience in application security, infrastructure security, or DevSecOps roles
• Principal Level: 8+ years of professional experience in application security, infrastructure security, or DevSecOps roles
• Strong understanding of common vulnerability classes (injection attacks, authentication flaws, cryptographic failures, misconfigurations)
• Hands-on experience with security scanning tools (SAST, DAST, SCA, container scanning)
• Proficiency in at least one programming language (Python, JavaScript/Node.js, or similar for building automation tools)
• Experience with CI/CD platforms and integrating security into development workflows
• Familiarity with cloud infrastructure security (AWS, Azure, or GCP)
• Understanding of OAuth2, SAML, SSO, and authentication/authorization security patterns
• Bachelor's degree in Computer Science, Cybersecurity, Information Security, Software Engineering, or a related technical field (required). Equivalent practical experience will be considered.
• Master's or Ph.D. in a related discipline with a focus on security, AI/ML, or both
• Experience working with LLM APIs (Anthropic Claude, OpenAI, AWS Bedrock) for building AI-powered applications
• Background in prompt engineering and designing evaluation systems for AI agents
• Familiarity with AI development tools like Cursor, Claude Code, or GitHub Copilot
• Knowledge of Angular, React, Node.js, or modern web application frameworks
• Experience in educational technology or platforms handling sensitive student data
• Understanding of multi-tenant SaaS security architecture
• Contributions to open-source security tools or AI projects

Tech Stack

• Angular
• AWS
• Azure
• Cloud
• Cyber Security
• Google Cloud Platform
• JavaScript
• Node.js
• Python
• React

Benefits

• Generous Paid Time Off : 4+ weeks of vacation and 13+ paid holidays
• Parental Leave : 12 weeks fully paid for all parents
• Retirement : 401(k) with 0.5:1 company match
• Comprehensive Health Coverage : Medical, dental, and vision plans
• Insurance : Company-paid life, short-term disability, and long-term disability, plus voluntary options including supplemental life, accident, and pet insurance
• Perks: Volunteer Time Off: Give back through ClassLink Cares paid volunteer days
• Lifelong Learning: Tuition reimbursement for continued education
• Growth & Development: Coaching and internal programs to support career and personal growth
• Supportive Culture: A workplace that values curiosity, compassion, and continuous learning
• Connection & Community: Annual company retreats and team events with bright, fun coworkers