Advanced Security Engineer - Exposure Management

Posting Type

Hybrid/Remote

Job Overview

Job Description and Requirements

• Operate and optimize exposure and external attack-surface discovery capabilities to identify internet-facing, unmanaged, shadow, and newly introduced assets across the technology estate.
• Reconcile discovery results with authoritative asset inventories and ownership data, investigate coverage gaps, and improve attribution of assets to the responsible application, service, or department.
• Develop repeatable workflows and automation that reduce discovery latency and increase coverage, data quality, and visibility across relevant asset classes.

• Analyze vulnerabilities and misconfigurations from exposure management and partner-team data sources, correlating findings with exploitability, asset criticality, internet exposure, compensating controls, and available threat intelligence.
• Design, tune, and document contextual prioritization logic that moves decision-making beyond raw severity scores and produces a defensible, risk-ranked exposure backlog.
• Perform detailed exposure analysis for high-impact vulnerabilities, zero-days, and material misconfigurations, and communicate why an exposure matters to technical and non-technical stakeholders.
• Partner with the Purple Team and other security functions to validate prioritization assumptions and improve correlation between top-priority exposures and confirmed exploitability.

• Maintain an accurate inventory and standing risk view of live containers and APIs, including running-image risk, workload ownership, API posture, and relevant production context.
• Correlate build- and deployment-time findings received from Adaptive Security with production runtime context to determine whether identified risks remain relevant once workloads are live.
• Identify systemic container and API posture issues and develop prioritized remediation campaigns for application- and service-owning teams.

• Integrate external and internal threat intelligence into exposure scoring and prioritization, including active exploitation, adversary behavior, and emerging-vulnerability signals.
• Maintain awareness of changes in the threat landscape and assess their relevance to the organization’s exposed technologies, assets, containers, and APIs.
• Produce timely, actionable notifications when new intelligence materially changes the likelihood or priority of an existing exposure.

• Build and maintain dashboards, reporting, and data pipelines that show residual exposure risk by department, asset class, severity tier, ownership, and age.
• Define and monitor measures such as discovery coverage, context coverage, exposure aging, reduction rate, and residual-risk trend; investigate data-quality or performance issues that affect reporting trustworthiness.
• Translate complex exposure data into clear technical findings, trends, and recommended actions for engineering leadership, department leaders, Governance Risk Intelligence, and service-owning teams.

• Track high-priority exposures against expected remediation timelines, identify aging and overdue items, and coordinate follow-through with accountable application- and service-owning teams.
• Plan and run targeted exposure-reduction campaigns, establish measurable outcomes, and report progress, blockers, and residual risk to relevant stakeholders.
• Route exposures requiring risk-acceptance guidance to the owning team and Governance Risk Intelligence, and route findings requiring manual review, threat modeling, or adversary validation to the appropriate security function.
• Provide technical guidance and prioritization context without assuming ownership of risk acceptance, policy decisions, or remediation execution.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.