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AI Agent Security Engineer-Java/.Net, security testing

RAPS Consulting Inc

  • Jersey City, NJ
  • 30+ days ago

    Highlights

    Extensive hands-on experience with penetration testing, red teaming, exploit development, reverse engineering, and secure code review against OWASP Top 10 and SANS 25 , combined with defensive engineering experience building detection and remediation capabilities. Build and maintain the library of reusable AI skills, prompts, evaluation harness, and tooling that power agentic vulnerability discovery, triage, remediation, false positive analysis, and exemption workflows at scale.

    Numbers & Facts

    LocationJersey City, NJ

    Description

    Offensive Security Engineer – AI Agent
    Location : Toronto, Ontario, Canada and Jersey City, NJ - Hybrid 4 Days Onsite

    Requirements:
    • 10+ years hands-on experience across software engineering, offensive security, and defensive security at a principal engineer level, with demonstrated personal contributions to production codebases and published vulnerability research or penetration testing engagements.
    • Advanced technical proficiency in multiple programming language (Java, C#, C, C++, Python, JavaScript/TypeScript, .NET, Go) with proven ability to personally write, review, and remediate production code.
    • Deep fluency in vulnerability classes including memory safety, injection authentication and authorization flaws, cryptographic misuse, deserialization, race conditions, and supply chain attacks, with hands-on experience finding and exploiting each.
    • Extensive hands-on experience with penetration testing, red teaming, exploit development, reverse engineering, and secure code review against OWASP Top 10 and SANS 25, combined with defensive engineering experience building detection and remediation capabilities.
    • Extensive hands-on experience with application security testing tools (SAST, DAST, IAST, SCA), including tuning, false positive analysis, exemption workflow design, and enterprise vulnerability management at scale.
    • Deep technical fluency with agentic AI coding tools and frameworks (Claude, Devin, Copilot, Windsurf, Cursor, MCP_, including prompt engineering, agent orchestration, reusable skill and tool design, guardrail design, and evaluation.
    • Strong architectural knowledge of modern CI.CD, container platforms (Docker, Kubernetes), cloud-native deployment patterns, and integration of security automation into developer workflows.
    Preferred, but not required:
    • Relevant security certifications (OSCP, OSCE, OSEP, GXPN, GWAPT, CISSP, or equivalent).
    • Experience in financial services or highly regulated industries with exposure to SOX, SOC1, and regulatory audit.
    • Public evidence of offensive capability: published CVEs, bug bounty track record, conference talks (DEFCON, Black Hat, Offensive Con, Recon), CTF placements, or open-source security tooling contributions.
    • Hands-on experience with enterprise vulnerability tooling (Tenable, Aqua, Snyk, BrightSec) and remediation at scale.
    • Demonstrated ability to advise senior technology leaders and deliver within complex, multi-stakeholder enterprise environments.
    Responsibilities:
    • Architect and operationalize the end-to-end agentic AI patching pipeline spanning detection, fix generation, automated testing, and release across SAST, DAST, SCA, IAST, container, and server vulnerabilities.
    • Use frontier AI models to Client Client vulnerabilities in production application and infrastructure code, develop proof-of-concept exploits, and validate that AI-generated fixes close the underlying root cause.
    • Build and maintain the library of reusable AI skills, prompts, evaluation harness, and tooling that power agentic vulnerability discovery, triage, remediation, false positive analysis, and exemption workflows at scale.
    • Design and operationalize AI-driven false positive analysis and exemption processes to reduce manual triage burden and surface only actionable findings to development teams.
    • Conduct hands-on penetration testing and red team exercise against critical applications and infrastructure to validate defensive controls and agent-generated remediations.
    • Extend agentic remediation coverage across SAST, SCA, DAST, IAST, container, and server vulnerabilities, including the data and tooling needed to connect findings back to source.
    • Design agent prompting, guardrails, evaluation frameworks, and appropriate human-in-the-loop controls to ensure safe autonomous code changes, testing, and deployment.
    • Drive integration of agentic remediation into enterprise CI/CD pipelines (Github, Jenkins, etc.) across the deployment landscape.
    • Communicate technical design, risk trade-offs, and delivery progress clearly to senior stakeholders including CIO, CISO, 2LOD, and Audit functions.

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