Application Security Engineer (AI)

Location: Remote within the United States. The team operates across EST, PST, and CET time zones.

Company

hirify.global provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime, trace illicit activity, and understand threat networks.

What you will do

• Lead application security reviews and threat modeling, including secure code reviews, architectural assessments, and testing.
• Develop automated security testing and mature the Secure SDLC across engineering.
• Own vulnerability management, including triage and remediation of software package and library vulnerabilities.
• Coordinate penetration testing engagements and maintain the bug bounty program.
• Build platform security initiatives to protect TRM data and support secure cloud infrastructure.
• Develop application security best practices, secure code training, and security champion programs for engineering teams.

Requirements

• Minimum 8 years of experience in software development and testing.
• BS or equivalent degree in Computer Science, Computer Engineering, or a related field.
• Proficiency with Python, Node, and React.
• Strong knowledge of encryption, authentication, authorization, OWASP, CWE, and software security testing methodologies.
• Experience with AWS or GCP, secure software development lifecycles, threat modeling, SAST, DAST, SCA, Burp Suite, OWASP ZAP, and threat modeling tools.
• Experience with code security reviews, penetration testing or red teaming, agile software development, and strong written and verbal communication.

Nice to have

• Security certifications such as OSCP, CEH, or GWAPT.
• Familiarity with security frameworks such as NIST SP 800-171 and SSDF.

Culture & Benefits

• Remote work with collaboration across EST, PST, and CET time zones.
• A culture based on mutual respect, transparency, flexibility, and efficient execution.
• High ownership, frequent cross-functional communication, and a focus on measurable impact.
• Work on complex problems at the intersection of AI, national security, and fighting crime.
• AI fluency is expected and evaluated during the interview process.

Hiring process

• Recruiter introduction followed by a hiring manager discussion and first-round interviews.
• Case study, AI skills assessment, and Leadership Principles interview may be included.
• Final panel, references, offer, and onboarding.