Job Description

Position: Application Security Engineer (AI Governance & Cloud Security)

Job Overview

Reveal is hiring an Application Security Engineer to secure how we build software and how we adopt AI. This role sits at the point where three things meet: the security of the code and services we ship, the governance of the AI agents and models we put into production, and the posture of the cloud they all run on.

You will own the tooling that makes that possible — Onyx Security as the control plane for AI agents and models, and Wiz across our cloud accounts and repositories — and you will be the person engineering teams come to when a design, a pipeline or a new AI tool needs a security opinion. The work is hands-on: threat modeling, code review, remediation alongside the teams that own the fix, and the policy and reporting that lets leadership and auditors see where we stand.

This role follows a hybrid model (4 days in office, 1 day work from home) for candidates residing in Illinois. Candidates based outside of Illinois may be considered for a remote work arrangement.

Responsibilities & Duties

• Application security: Run threat modeling and secure design reviews for new features, services and integrations.
• Application security: Perform manual code review and triage findings from SAST, DAST, SCA and secrets scanning.
• Application security: Embed security checks into CI/CD pipelines without slowing delivery.
• Application security: Lead remediation with engineering teams and track findings to closure against SLAs.
• Application security: Support penetration tests, bug reports and customer security questionnaires.
• AI governance: Own the Onyx Security platform as the control plane for AI agents and models across SaaS, cloud, endpoints and code.
• AI governance: Use Onyx AI Observability to discover sanctioned and shadow AI, and review prompts, responses and agent actions.
• AI governance: Write and enforce natural-language governance policies and real-time guardrails in Onyx.
• AI governance: Manage agent permissions and secure MCP server connections to prevent over-privileged access.
• AI governance: Detect and respond to prompt injection, data exfiltration and AI misuse, and tune Onyx Guardian Agent remediation.
• AI governance: Maintain the AI acceptable-use policy, AI inventory and risk assessments with GRC, mapped to NIST AI RMF and ISO/IEC 42001.
• AI governance: Evaluate new AI tools, agents and vendors before adoption, and report AI adoption and risk metrics to leadership.
• Cloud and code security: Own Wiz configuration, integrations, policies and alert routing across cloud accounts.
• Cloud and code security: Triage Wiz Issues and toxic combinations, and drive fixes for misconfigurations, vulnerabilities and exposed secrets.
• Cloud and code security: Use Wiz Code and IaC scanning to catch risk in repositories and Terraform before deployment.
• Cloud and code security: Use Wiz AI Security Posture Management (AI-SPM) to inventory AI services and models running in the cloud.
• Cloud and code security: Build reports and dashboards on cloud risk trends for Security leadership and audits.
• Perform other duties and responsibilities as assigned to support team, department, and organizational goals.

Characteristics

• Breadth across domains: comfortable moving between application security, AI governance and cloud posture rather than specialising in only one.
• Investigative mindset: naturally curious, and inclined to dig into an alert or a finding until the underlying cause is understood.
• Proactive problem solver: anticipates security issues at design time rather than discovering them at deployment.
• Autonomous and collaborative: takes ownership of the role and works effectively with distributed engineering teams.
• Clear communicator: can explain the same risk to an engineer, to leadership and to an auditor, and be understood by all three.

Education & Experience

• 4+ years in application security, product security or security engineering.
• Solid grasp 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 of 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, including 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 the Wiz certifications.

Benefits and Perks include but are not limited to:

• 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 our Chicago office
• Friendly, collaborative, in-office work environment with ample opportunity for professional development.

For Illinois-based roles, the budgeted annual salary range is $ 136,000 to $ 160,000. Compensation for this role will depend on a number of factors, including a candidate's qualifications, skills, competencies, and experience, and may fall outside of the range shown. Reveal offers a competitive total rewards package, which includes the Benefits and Perks set forth above.

This job description reflects the present requirements of the position. As duties and responsibilities change and develop, the job description will be reviewed and subject to amendment.

Hiring Policy

Reveal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Reveal does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Reveal considers candidates with existing visas but does not sponsor new visa applications.