Automation-Driven Vulnerability Analyst

Hewlett Packard Enterprise; San Jose (CA); On-site; USD 124,000 - 251,000; Full time

Benefits offered by this job

Health & Wellbeing

Personal & Professional Development

Unconditional Inclusion

Job summary

Hewlett Packard Enterprise is seeking a Vulnerability Management Analyst to evolve how vulnerability risk is identified, understood, and prioritized across the enterprise. You will turn data from vulnerability management, attack surface management, and internal scanning into clear, risk-based priorities for remediation.

You will design scalable automation across the lifecycle, use data lake analytics to spot trends, and communicate findings to IT, Cloud, and DevOps teams.

Qualifications

• Bachelor’s degree in Cybersecurity, IT, CS or equivalent.
• 6+ years of cybersecurity experience focused on vulnerability management.
• Proven ability to translate complex vulnerability findings into business risk.
• Desired CISSP and GCVA certifications.

Responsibilities

• Apply advanced vulnerability management and attack-surface expertise to identify exposure across environments.
• Correlate scan findings, asset criticality, and threat intel to set risk-based priorities.
• Design and implement scalable automation across the vulnerability management lifecycle.
• Utilize data lake analytics to identify trends and control gaps for IT/Cloud/DevOps.
• Lead investigations and drive timely, risk-based remediation across teams.
• Present evidence-based reporting on attack-surface exposure and remediation performance.

Skills

Vulnerability management

Attack surface management

Threat exposure management

Risk-based remediation

Automation & tooling

Education

Bachelor’s degree in Cybersecurity/IT/CS

6 years cybersecurity experience

CISSP certification

GCVA certification

Tools

Vulnerability data lake

Threat intelligence sources

Job description

Hewlett Packard Enterprise is seeking a Vulnerability Management Analyst to evolve how vulnerability risk is identified, understood, and prioritized across the enterprise. You will turn data from vulnerability management, attack surface management, and internal scanning into clear, risk-based priorities for remediation.

You will design scalable automation across the lifecycle, use data lake analytics to spot trends, and communicate findings to IT, Cloud, and DevOps teams.