Staff Vulnerability Management Analyst- AI Automation Security Researcher

UKG•,

10d•$115,100 - $165,450•Remote

About The Position

The research and innovation team within Global Security is a high-impact, automation-first security organization responsible for vulnerability management, security research, and red team operations. This team has an exceptional automation culture — all team members build production automation to find and remediate vulnerabilities, with the goal to reduce manual work at scale. We are seeking a Vulnerability Management engineer to join our team as both a vulnerability management practitioner and an automation builder. This role combines traditional vulnerability analysis and remediation coordination with a strong emphasis on developing AI-powered tools and automations that scale the team's effectiveness. You will analyze vulnerabilities across infrastructure, cloud, and application layers, coordinate remediation with engineering teams, and build automation that makes the entire program faster and smarter.

Requirements

7+ years of hands-on experience in vulnerability research, application security, or penetration testing — with a track record of finding real vulnerabilities in production software
Demonstrated ability to read and audit source code in at least two of: Java, C#/.NET, Python, JavaScript/TypeScript, Go, C/C++
Experience developing working proof-of-concept exploits — not just scanning, but understanding root causes and proving exploitability
Strong proficiency in Python for building security tools, automation pipelines, and integrations
Experience with AI/ML tools for security — using LLMs for code analysis, building AI-assisted security tooling, or developing autonomous security agents
Deep understanding of common vulnerability classes: injection (SQL, command, LDAP), broken authentication, cryptographic failures, SSRF, deserialization, path traversal, access control, and their variants
Experience with vulnerability management programs — triaging, tracking, and driving remediation of vulnerabilities across engineering organizations
Ability to work directly with development teams — explaining vulnerabilities, reviewing proposed fixes, and validating remediations
Excellent written communication — ability to produce clear vulnerability reports, technical documentation, and executive summaries
Bachelor's degree in Computer Science, Cybersecurity, or equivalent experience

Nice To Haves

Published CVEs, security advisories, or bug bounty findings in production software
Experience in SaaS/multi-tenant environments processing sensitive data (HCM, payroll, healthcare, financial)
Familiarity with SAST/DAST/SCA tooling and how to reduce false positive rates through source-level validation
Experience with cloud security assessment (AWS, GCP, Azure) including container and Kubernetes vulnerability analysis
Familiarity with FedRAMP, NIST SP 800-53, or federal compliance frameworks — enough to understand vulnerability remediation timelines and reporting requirements in regulated environments
Security certifications that demonstrate hands-on skill: OSCP, OSWE, GWAPT, GXPN, BSCP, or equivalent
Conference presentations, published research, or open-source security tool contributions
Experience with reverse engineering, binary analysis, or firmware security

Responsibilities

Conduct deep-dive source code audits of UKG products (Java, .NET, Python, JavaScript) to discover novel vulnerabilities — examples could be hardcoded secrets, authentication bypasses, injection flaws, cryptographic weaknesses, access control gaps, unsafe deserialization, etc.
Develop working proof-of-concept exploits that demonstrate real impact — not theoretical risk, but provable exploitation with clear data exposure or access escalation
Perform variant analysis: when you find a bug, systematically search the entire codebase for every instance of the same root cause pattern
Triage and validate findings from automated scanners (SAST, DAST, SCA) — separate real vulnerabilities from false positives using source-level analysis
Investigate and reproduce externally reported vulnerabilities (bug bounty, CVEs, vendor advisories) to assess actual exploitability in UKG's environment
Collaborate with engineering teams on remediation — not just filing tickets, but working with developers to design, validate fixes, and drive to remediation.
Build AI-assisted vulnerability discovery tools using automation (Claude, MCP servers, custom models, etc.) for automated source code analysis, vulnerability pattern matching, and exploit generation
Develop autonomous security scanning agents that can analyze codebases, identify vulnerability patterns, and produce validated findings with minimal human intervention
Create AI-powered remediation tools — automation that generates fix recommendations, patches, and pull requests for discovered vulnerabilities, accelerating the path from finding to fix
Build automated vulnerability lifecycle pipelines: intake from scanners, AI-assisted triage and deduplication, intelligent ticket routing, SLA tracking, and remediation verification
Contribute to the team's shared automation repositories and Claude Code skills store — every tool you build should be reusable by the rest of the team
Own vulnerability remediation outcomes for assigned product areas — track findings from discovery through verified fix, holding engineering teams accountable to SLAs
Produce clear, actionable vulnerability reports that engineering teams can act on immediately — root cause, impact, reproduction steps, and recommended fix
Drive mean time to remediate (MTTR) down through better automation, better reports, and direct collaboration with development teams
Support vulnerability management program metrics and dashboards — contribute to reporting that gives leadership real-time visibility into risk posture
Support compliance-driven vulnerability management requirements, including FedRAMP continuous monitoring and POA&M processes, as UKG expands into federal markets
Publish internal/external research on novel vulnerability classes, AI-assisted discovery techniques, and lessons learned from audits
Stay current on emerging vulnerability classes, exploitation techniques, and defensive patterns relevant to UKG's technology stack
Mentor other team members on vulnerability research methodology, source code analysis, and AI-augmented security tooling