Senior Application Security Engineer, Corporate Information Security- Remote (Anywhere in the U.S.)

GuidePoint Security provides trusted cybersecurity expertise, solutions and services that help organizations make better decisions and minimize risk.

By taking a three-tiered, holistic approach for evaluating security posture and ecosystems, GuidePoint enables some of the nation's top organizations, such as Fortune 500 companies and U.S. government agencies, to identify threats, optimize resources and integrate best-fit solutions that mitigate risk.

General Description We are seeking a Senior Application Security Engineer to strengthen the integrity of our software development lifecycle and safeguard our products from emerging threats.

In this role, you'll collaborate across Engineering, DevOps, AI/ML, and Security teams to embed security considerations from the earliest stages of design through to production and beyond, leveraging artificial intelligence and advanced automation to enhance security effectiveness and efficiency.

The Senior Application Security Engineer will demonstrate deep expertise in application security, secure software design, and cloud-native architecture, leading by influence to embed security into the development lifecycle.

This role will drive the adoption of modern DevSecOps practices, threat modeling, and secure coding programs that align with engineering goals and business priorities.

This position is 100% remote, and the Senior Application Security Engineer must be self-directed, able to work both individually and as part of a multifunctional team and possess the necessary written and verbal communication skills to interact effectively with team members, IT, AI/ML teams, and other internal customers.

Roles and Responsibilities: • Embed security into development: Collaborate closely with engineering teams to embed security throughout the SDLC-from architectural design and code implementation to CI/CD pipelines and peer reviews-ensuring security is an integral part of how software is built and shipped.

Conduct thorough pull request reviews with security focus and contribute to secure coding practices through hands-on development experience. • Find and fix vulnerabilities: Use both automated and manual approaches to identify risks, including static and dynamic analysis (SAST/DAST), manual code reviews, and penetration testing of web and mobile applications.

Implement AI-powered vulnerability discovery and intelligent prioritization systems to enhance detection capabilities. • Automate security checks: Integrate a robust set of security practices into the CI/CD workflow-covering Software Composition Analysis (SCA), secret detection, Infrastructure as Code (IaC) scanning, container/image scanning, and dependency monitoring-to address issues early and continuously.

Design and implement advanced automation workflows using modern development practices and AI/ML frameworks. • Monitor and respond in production: Implement security telemetry and runtime monitoring to maintain visibility into production environments, detect threats in real time, and support rapid response during security incidents.

Deploy AI-driven anomaly detection and automated response capabilities. • Guide secure design: Participate in architecture reviews and threat modeling sessions to proactively identify design-level risks and shape secure system patterns.

Apply deep knowledge of cybersecurity standards (NIST, ISO 27001, SOC 2) and current threat landscape to guide security architecture decisions. • Respond to security incidents: Work alongside engineering and security teams during investigations, remediation efforts, and post-incident reviews to strengthen long-term resilience. • Shape the program: Define and track meaningful application security metrics to measure impact, influence priorities, and drive continuous improvement.

Beyond metrics and tooling, lead efforts in secure development practices, risk-based decision-making, and help foster a culture where security is thoughtfully embedded. Leverage AI-driven analytics for program insights and automated reporting.

Required Experience: • 8+ years of experience in application security, software engineering, or related fields, with a strong foundation in integrating security across the SDLC and demonstrated expertise in AI/automation technologies. • Strong development background with proficiency in multiple programming languages (Java, Python, JavaScript/TypeScript) and experience contributing to production codebases and conducting security-focused pull request reviews. • Proven ability to embed security into CI/CD workflows and code reviews in collaboration with engineering teams. • Deep understanding of cybersecurity standards, frameworks, and threat landscape with ability to apply this knowledge to guide security program development. • Hands-on experience with SAST/DAST tools (e.g., Checkmarx, CodeQL, Fortify, Burp Suite, ZAP) and manual code reviews and pen testing including AI-powered security analysis tools. • Experience automating security checks using