Associate Software Development Engineer - Information Security

Grade Level (for internal use): 08

Responsibilities

• Secure Development Guidance: Assist in providing actionable security guidance to engineering teams across server-side development, UI frameworks, and cloud integrations.
• Threat Modeling Reviews: Partner with senior engineers to perform threat modeling, secure design reviews, and secure code reviews-with a growing focus on auditing AI agents, LLM pipelines, and cognitive workflows.
• AI Risk Assessment: Assist in identifying vulnerabilities unique to AI systems (such as prompt injection, data poisoning, and insecure output handling) and help evaluate new AI technologies adopted by the business.
• Security Automation: Leverage Python and open-source security tools to build, maintain, and automate security testing within the CI/CD pipeline.
• Vulnerability Research: Help analyze, triage, and remediate vulnerabilities discovered during automated scans or manual testing, acting as a technical advisor for engineering teams.
• Repeatable Security Patterns: Implement and support repeatable application security blueprints, ensuring applications and AI agents are appropriately sandboxed and segmented based on data sensitivity.
• Continuous Learning: Keep pace with evolving security trends, zero-day vulnerabilities, and emerging frameworks for securing AI architectures (such as the OWASP Top 10 for LLMs).

Qualifications Basic Qualifications

• Education: Bachelor's degree in Computer Science, Information Security, a related technical field, or equivalent practical experience.
• Experience: 1year or more of professional experience in Information Security, Application Security, or a highly security-focused software development role.

Technical Skills Core Competencies

• Scripting Programming: Proficiency in Python for security scripting, automation, or data handling (exposure to Java or JavaScript/Angular is a plus).
• AI/LLM Awareness: Foundational knowledge of AI concepts, LLM architectures, or AI agents, including an understanding of how to securely interact with APIs and handle data privacy in AI workflows.
• Application Security Basics: Familiarity with core AppSec concepts, web services, microservices/SOA architecture, and standard vulnerability frameworks (OWASP Top 10).
• Network Cryptography Fundamentals: Solid understanding of TCP/IP networking, transport layer security (TLS/DTLS), PKI, certificate management, and basic encryption concepts