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# Senior Security Engineer

- **Company:** True Talent Solutions LLC
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $200,000 - $330,000
- **Contract:** Permanent contract
- **Skills:** Kubernetes Security, Artificial Intelligence, Amazon Web Services, Cloud Computing Security, Code Review, Cyber Security, Continuous Integration, Customer Data Management, Data Security, Python (Programming Language), Systems Development Life Cycle, Secure Coding, Security Software, Software Engineering, Software Vulnerability Management, Software Security, AI Platforms, Kubernetes, Static Application Security Testing, Dynamic Application Security Testing
- **Published:** November 14, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-security-engineer-new-york-ny--1a657b6b-ea37-47b8-9e60-899fbff0d09c

## About the Role

Software Development Lifecycle (SDLC), Product Engineering, Customer/Client Research, Artificial Intelligence (AI), Information/Data Security (InfoSec), Security Software, Computer Security, Secure Coding, Applications Security, Threat Modeling, * At least 4 years of software engineering experience, with hands-on application or infrastructure security experience or a strong interest in developing security expertise.

 * Experience with cloud security on GCP or AWS.
 * Familiarity with Python, Kubernetes, CI/CD pipelines, and security tools or approaches such as Semgrep, CodeQL, SAST, DAST, IAST, or container security.
 * Strong computer science fundamentals and practical engineering experience beyond compliance or governance work.
 * Clear written and verbal communication, sound technical judgment, and the ability to work with ownership in a fast-moving environment.

## Description

Join the security function at a rapidly growing AI platform company serving enterprise customers. You will work closely with product engineering teams to build security into the software lifecycle and protect sensitive customer data., * Design and implement application security controls for a multi-tenant AI platform, including secure coding practices, threat modeling, and vulnerability management.

 * Partner with product engineers to integrate security throughout the development lifecycle, from design to deployment.
 * Build security tooling and automation that helps developers identify and remediate vulnerabilities efficiently.
 * Lead security code reviews and architecture assessments, focusing on AI integrations and customer data handling.
 * Respond to application security incidents and drive improvements based on lessons learned.