AI-Driven Vulnerability Detection Engineer

Beazley Security; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible working arrangements

Paid parental leave

Health insurance

401k with employer match

Training and conferences

Job summary

Beazley Security Labs is seeking a Vulnerability Detection Engineer. You will identify critical vulnerabilities from internet exposure, build deterministic detections, and ship them to the Exposure Management platform so clients know their exposure before attackers.

Join a cross-disciplinary team that blends vulnerability research, exploit analysis, and threat intelligence with engineering. You will automate research, validate detections, and contribute to advisories and client guidance.

Qualifications

• Proficiency in SQL and data analysis with large datasets.
• Python for data manipulation, parsing, tooling, and automation.
• Ability to design agentic AI workflows for detection research.
• Experience with Git, code review, and testing in a detection engineering environment.
• Strong grasp of networking fundamentals, HTTP, TLS, and web architecture.
• Understanding of common vulnerabilities and exploitation techniques.
• Ability to read a vendor advisory or PoC to identify evidence of vulnerability.
• Ability to work carefully with ambiguous or incomplete data.

Responsibilities

• Conduct vulnerability research on internet-exposed services and identify vulnerable patterns in scan data.
• Monitor advisories and determine which vulnerabilities require detection coverage.
• Analyze proof-of-concept exploits to identify version strings and fingerprints.
• Author, test, and maintain vulnerability detection logic for Exposure Management.
• Develop and maintain scan configurations, including service fingerprinting and protocol probes.
• Validate detections across client assets and manage false positives/negatives.
• Build and improve internal tooling for vulnerability monitoring and regression testing.
• Collaborate on advisories and remediation guidance accompanying detections.
• Partner with other departments to implement detection coverage in Exposure Management.
• Explore Agentic AI to improve detection research and deployment processes.
• Research using Agentic AI to identify affected software and produce advisories.

Skills

SQL

Python

Agentic AI workflows

Git

Networking fundamentals

Vulnerability knowledge

Vendor advisories reading

Ambiguous data handling

Tools

Nuclei

Nmap NSE

Docker

Virtual machines

Job description

Beazley Security Labs is seeking a Vulnerability Detection Engineer. You will identify critical vulnerabilities from internet exposure, build deterministic detections, and ship them to the Exposure Management platform so clients know their exposure before attackers.

Join a cross-disciplinary team that blends vulnerability research, exploit analysis, and threat intelligence with engineering. You will automate research, validate detections, and contribute to advisories and client guidance.