Exposure Management Engineer - Mid-Atlantic region (Remote)
General Description
We are looking for a skilled Exposure Management Engineer to support GuidePoint Security's Mid-Atlantic Exposure Management practice, with a primary focus on deploying, configuring, and operating the Axonius Asset Cloud to power risk-based vulnerability management and cyber asset management for our clients. This role will engage in the development of unified asset inventories, risk-based prioritization models, and automated remediation workflows in Axonius while providing “Wow Them” service to clients and/or internal customers or co-workers.
The Exposure Management Engineer will be required to demonstrate strong asset management, integration, and risk-based vulnerability management skills, lead by influence, and strong business/financial acumen to drive the use of progressive exposure management programs — built on Axonius — that will align the delivery of business objectives and priorities.
About the Mid-Atlantic Exposure Management Practice
The Mid-Atlantic Exposure Management Practice is responsible for helping clients see everything they own and fix what matters most. We build unified, real-time asset inventories and risk-based exposure programs — with the Axonius Asset Cloud at the center — that turn fragmented data from hundreds of security and IT tools into a single, trusted asset model and a prioritized, business-aware remediation backlog.
Our team of exposure management engineers, Axonius platform specialists, and automation developers focuses on cyber asset attack surface management (CAASM), risk-based vulnerability management (RBVM), and exposure prioritization. We partner with client security, IT, infrastructure, and cloud teams to eliminate blind spots, de-duplicate findings across tools, assign asset ownership, and drive measurable risk reduction.
Key focus areas of the practice:
Deploying and configuring the Axonius Asset Cloud — data connections, asset correlation, and coverage gap analysis
Configuring risk-based vulnerability management in Axonius — de-duplication, asset criticality, exploitability, and business-context prioritization
Automating enforcement, ticketing, and remediation workflows using the Axonius query and enforcement engine
Roles and Responsibilities:
Axonius Platform Engineering
Deploy, configure, and maintain the Axonius Asset Cloud (Cyber Asset Attack Surface Management / exposure platform) across complex hybrid, multi-cloud, and on-premises client environments.
Design and build data connections (adapters) to onboard data from security, IT, identity, cloud, endpoint, and network sources — EDR, vulnerability scanners, MDM, IdP, CMDB, cloud providers, NGFW, and case management tools — via API.
Configure and tune the Axonius asset correlation engine so that data from disparate sources resolves into unified, de-duplicated asset records.
Perform daily operational support, monitoring, and maintenance of the Axonius platform, including adapter health, data freshness, and system performance.
Work with third parties and client tool owners to ensure the correct data is onboarded, credentialed, and refreshed on the right cadence.
Platform Operations
Operate and maintain security platforms including vulnerability management, CAASM, and CNAPP tools
Monitor security findings and support prioritization and remediation workflows
Assist in platform tuning, configuration optimization, and integration with client environments
Support onboarding of new assets, applications, and cloud environments into security platforms
Exposure Management Operations
Review exposure findings and assist with prioritization and remediation tracking
Help manage remediation workflows with client engineering teams
Generate operational dashboards and reporting for security leadership
Assist in maintaining asset inventory coverage and scanning accuracy
Risk-Based Vulnerability Management (Axonius) Configuration
Configure risk-based vulnerability management (RBVM) in Axonius so that vulnerabilities are prioritized by real-world risk — business impact, exposure, and exploitability — rather than by CVSS score alone.
Ingest and consolidate vulnerability findings from multiple scanners (e.g., Tenable, Qualys, Rapid7) into Axonius, and configure de-duplication so a single vulnerability reported by different tools is represented once.
Build and maintain asset criticality ratings and business-context tags in Axonius so prioritization reflects the importance of each asset to the business.
Configure enrichment of findings with threat intelligence and exploitability signals (e.g., known-exploited, active-in-the-wild) to surface the vulnerabilities attackers are most likely to use.
Design saved queries and dynamic asset/vulnerability views that isolate high-risk, exposed, mission-critical findings and filter out low-risk noise and items already within SLA.
Configure risk scoring, severity mapping, and prioritization logic that combine CVSS, exposure (internet-facing vs. isolated), exploit status, asset criticality, and existing mitigating controls.
Build Axonius Enforcement Center actions to automate remediation workflows — create and route tickets to the correct owner in ServiceNow/Jira, notify teams, and track SLA and patch-window adherence.
Configure escalation (“fire alarm”) logic and SLA-based rules for critical and zero-day vulnerabilities that require faster-than-standard remediation.
Build dashboards and reporting that show remediation progress, SLA compliance, risk reduction over time, and coverage — tailored for both operational teams and security leadership.
Continuously tune prioritization models and reduce alert fatigue so client teams focus effort on the findings that actually reduce risk.
Asset Management (Axonius) Configuration
Configure Axonius data connections (adapters) across security, IT, cloud, identity, endpoint, and network sources to build a comprehensive, real-time inventory of all assets — devices, users, cloud resources, SaaS, and software.
Tune the asset correlation and de-duplication engine so records from disparate sources merge into a single trusted asset model the entire team can rely on.
Configure coverage and gap analysis to automatically surface unmanaged, unknown, or non-compliant assets — e.g., devices missing EDR, endpoints missing an agent, or assets absent from the CMDB.
Build and maintain asset categorization, tagging, and business-context enrichment (owner, environment, criticality, data sensitivity, location) to power downstream prioritization and ownership.
Configure asset ownership assignment so every finding maps to an accountable owner, closing the “who owns this?” gap that stalls remediation.
Establish and maintain data hygiene — adapter scheduling, credential management, field mapping, and data freshness — to keep the inventory accurate and current.
Configure enforcement actions that keep the inventory and other systems in sync — e.g., push corrected/enriched asset data back into the CMDB, open tickets for coverage gaps, or trigger onboarding of missing agents.
Build saved queries, dashboards, and reports that give clients continuous visibility into asset inventory, coverage, and policy gaps (comparable to building a unified inventory of tens of thousands of assets).
Compile and reconcile asset inventories from disparate data sources, applying knowledge of network, cloud, and endpoint technologies commonly used in enterprise environments.
Partner with SIEM, automation, and security operations teams to leverage Axonius asset data for detections, automation, and exposure analysis.
CNAPP & Cloud Security Support
Assist with the operation and optimization of CNAPP platforms (e.g., Wiz, Prisma Cloud, Orca)
Support cloud posture monitoring and exposure analysis
Assist with investigation of cloud misconfigurations, identity exposures, and attack paths
Work with senior engineers to onboard new cloud environments
Automation & Integrations
Develop scripts and automation to improve security workflows
Build integrations between security tools and ticketing systems
Automate reporting, vulnerability triage, and remediation tracking
Use APIs and automation frameworks to reduce manual operational effort
Use the Axonius Query Language, REST API, and Enforcement Center to automate asset queries, enrichment, ticketing, and remediation actions.
Client Engagement
Participate in regular operational cadence meetings with clients
Provide updates on platform findings and remediation progress
Assist senior engineers in troubleshooting security platform issues
Contribute to documentation and operational playbooks
Required Experience:
3+ years of experience in cybersecurity engineering
Exposure management or risk-based vulnerability management experience
Hands-on experience with the Axonius Asset Cloud (or comparable CAASM / asset intelligence platform) — configuring adapters, correlation, queries, and enforcement actions.
Experience building and maintaining unified asset inventories from disparate security and IT data sources.
Experience configuring asset criticality, ownership, and business context to drive risk-based prioritization.
Familiarity with vulnerability management, exposure management, or CNAPP platforms such as Tenable, Qualys, Rapid7, Wiz, Axonius, or similar tools
Scripting experience (Python, PowerShell, or similar)
Experience working with APIs or automating workflows
Understanding of security fundamentals: vulnerabilities, misconfigurations, identity and access control, security monitoring
Strong communication skills and ability to work with engineering teams
Embraces emerging technologies, including AI tools, to work smarter, solve problems, and drive better business outcomes.
Preferred Experience:
Experience with CNAPP platforms such as: Wiz, Prisma Cloud, Orca, Lacework
Experience with cloud platforms: AWS, Azure, GCP
Familiarity with container security and Kubernetes
Experience integrating security tools with ticketing platforms (Jira, ServiceNow)
Direct engineering experience with Axonius adapters, correlation tuning, and the Enforcement Center.
Experience with cyber asset management (CAASM), asset discovery, and network enumeration tooling.
Experience in Linux environments and API-based data retrieval from security/infrastructure tools (EDR, IdP, NGFW, cloud providers).
Experience using AI-assisted tools (LLMs, copilots, or agent frameworks) to accelerate scripting, analysis, and security operations workflows
Travel Requirements:
Up to 10% travel
Physical Requirements:
Sedentary work
Substantial movement of the wrists, hands, and/or fingers for a minimum of 8 hours a day
Required to have close visual acuity to view computer terminal and/or extensive reading for a minimum of 8 hours a day