Application Security Engineer
Application Security
Application Security Engineering
Application Security Testing
Automated Security Testing
Aws Cloud Security
Ci/cd Security
Cloud Platforms
Cloud Security
Cloud Security Engineering
Cybersecurity Operations
Data Security
Dynamic Application Security Testing
Engineer
Information Security
InfoSec
Offensive Security
Risk Governance
Risk Management
Secrets Scanning
Security
Security Automation
Security Compliance
Security Operations
Security Standards
Security Testing
Software Security
Static Application Security Testing
Static Code Analysis
Job Description
Reveal is seeking an Application Security Engineer (AI Governance & Cloud Security) to secure application development and responsible AI adoption across code, AI agents/models, and cloud posture.
Responsibilities
- Run threat modeling and secure design reviews for new features, services, and integrations.
- Conduct manual code review and triage findings from SAST, DAST, SCA, and secrets scanning.
- Embed security checks into CI/CD pipelines while maintaining delivery speed.
- Lead remediation with engineering teams and track findings to closure against SLAs.
- Support penetration tests, bug reports, and customer security questionnaires.
- Own the Onyx Security platform as the control plane for AI agents and models across SaaS, cloud, endpoints, and code.
- Use Onyx AI Observability to find sanctioned and shadow AI, and review prompts, responses, and agent actions.
- Write and enforce natural-language governance policies and real-time guardrails in Onyx.
- Manage agent permissions and secure MCP server connections to prevent over-privileged access.
- Detect and respond to prompt injection, data exfiltration, and AI misuse; tune Onyx Guardian Agent remediation.
- Maintain AI acceptable-use policy, AI inventory, and risk assessments with GRC, mapped to NIST AI RMF and ISO/IEC 42001.
- Evaluate new AI tools, agents, and vendors before adoption; report AI adoption and risk metrics to leadership.
- Own Wiz configuration, integrations, policies, and alert routing across cloud accounts.
- Triage Wiz Issues, including toxic combinations, and drive fixes for misconfigurations, vulnerabilities, and exposed secrets.
- Use Wiz Code and IaC scanning to identify risk in repositories and Terraform before deployment.
- Use Wiz AI Security Posture Management (AI-SPM) to inventory AI services and models running in the cloud.
- Build reports and dashboards covering cloud risk trends for Security leadership and audits.
- Perform other duties as assigned to support team, department, and organizational goals.
Requirements
- 4+ years in application security, product security, or security engineering.
- Strong knowledge of OWASP Top 10, OWASP Top 10 for LLM Applications, and agentic AI risks, including Model Context Protocol (MCP) security.
- Ability to read and review code in at least one: Python, JavaScript/TypeScript, Java, or C#.
- Experience securing AWS, Azure, or GCP workloads, containers, and Kubernetes.
- Familiarity with CI/CD tooling (GitHub Actions, GitLab CI, or Azure DevOps) and infrastructure as code.
- Clear written communication for engineers, leadership, and auditors.
Preferred Experience
- Experience building an AI governance program (AI inventory, model risk reviews, acceptable-use policy).
- Hands-on experience with Wiz: policy tuning, Issue triage, and integrations (Jira, Slack, SIEM).
- Hands-on experience with Onyx Security or a comparable AI security and governance platform, including AI discovery, guardrails, and agent permissions.
- Knowledge of NIST AI RMF, ISO/IEC 42001, and the EU AI Act.
- Experience supporting SOC 2, ISO 27001, or FedRAMP audits.
- Background in legal tech, eDiscovery, or other environments handling sensitive client data.
- Scripting for automation (Python, Bash, Ruby) and experience with the Wiz API.
- Certifications such as OSWE, GWAPT, CSSLP, CCSP, or AWS Security Specialty, or Wiz certifications.
Technologies
- Onyx Security
- Wiz
- Onyx AI Observability
- Onyx Guardian Agent
- MCP (Model Context Protocol)
- SAST, DAST, SCA
- CI/CD pipelines
- GitHub Actions, GitLab CI, Azure DevOps
- Python, JavaScript/TypeScript, Java, C#
- AWS, Azure, GCP
- Kubernetes
- Terraform
- Wiz Code
- Wiz AI Security Posture Management (AI-SPM)
- NIST AI RMF, ISO/IEC 42001
- EU AI Act
- Jira, Slack, SIEM
Benefits
- 401k match program
- Comprehensive health benefits (Medical, Dental, Vision, and HSA/FSA)
- Group Term Life Insurance and Voluntary Life Insurance option
- Paid holidays
- Paid vacation, sick, and personal days
- FSA dependent care benefit
- Childbirth recovery and bonding leave policies
- Short and long-term disability benefits
- Access to onsite gym and recreational area at the Chicago office
- Friendly, collaborative, in-office work environment with ample opportunity for professional development
Role Details
- Location: Chicago/U.S. (hybrid)
- Salary: USD 136,000 - 160,000 per year
- Experience: 4+ years
- Hybrid model: 4 days in office, 1 day work from home for candidates residing in Illinois
- Out-of-Illinois candidates may be considered for a remote work arrangement