Partner closely with developers throughout the Secure SDLC.
Integrate and configure AppSec tooling within GitHub/GitHub Actions workflows.
Work hands-on with SAST, DAST, and SCA tools.
Configure security scanning, checks, policies, and risk-based gates within developer workflows.
Review findings, validate vulnerabilities and false positives, prioritize risk, and drive remediation through closure.
Work directly with developers to troubleshoot vulnerabilities, explain root cause, recommend code-level fixes, and validate remediation.
Identify AppSec gaps and independently develop technical solutions.
Support AI-assisted development security, threat modeling, vulnerability triage, and security automation.
MUST HAVES
5–7+ years of Cyber Security/IT experience, including 3+ years of recent hands-on Application Security engineering.
Strong hands-on experience with SAST, DAST, SCA, Secure SDLC, and DevSecOps.
Hands-on experience integrating and configuring security tooling within GitHub/GitHub Actions and developer workflows.
Strong vulnerability triage and remediation experience, including validating findings, false positives, prioritizing risk, and driving issues through closure.
Strong developer-facing AppSec experience, including troubleshooting vulnerabilities, explaining root cause, and recommending code-level fixes.
Meaningful hands-on AI security experience related to AppSec, AI-assisted development, threat modeling, vulnerability management, or security automation
PLUSSES
Agentic-code security experience — securing AI coding agents, agent-generated code, or agentic development workflows.
Python scripting/automation — personally writing Python to automate AppSec or security processes.
AI-assisted code review, threat modeling, vulnerability triage, or remediation.
Built automation around security findings, developer workflows, or vulnerability management.