[Hiring] Security Assurance Penetration Tester @Elsevier

Role Description

Are you a collaborative Penetration Tester looking to work for a mission-driven global organization? This role supports the offensive security function within Elsevier's Security Engineering team. You will perform hands-on security testing and peer review activities, validate vulnerabilities and security controls, and support the automation of security assurance processes. This is a hands-on role for a motivated security professional eager to grow in a collaborative, fast-paced environment.

The Security Assurance team supports the third-party penetration testing program, security control validation, and ongoing offensive security testing activities.

Responsibilities

• Tracking and triaging findings from third-party assessments, ensuring timely follow-up and remediation tracking.
• Collaborating with development, platform, and product teams to communicate findings, track remediation efforts, and improve overall security posture.
• Facilitating post-assessment reviews and lessons learned sessions with development teams to identify recurring security issues and promote secure development practices.
• Maintaining program documentation, test records, and reporting artifacts.
• Conducting penetration testing of web applications, APIs, cloud environments, and internal systems, escalating complex testing scenarios as needed.
• Performing peer review of penetration testing deliverables, including test plans, findings, and final reports.
• Participating in scoping exercises and contributing to the selection of appropriate testing methodologies.
• Supporting security assessments of GenAI-powered applications and features, including LLM integrations, RAG pipelines, and AI agents.
• Assisting in testing for AI-specific vulnerabilities such as prompt injection, jailbreaking, insecure output handling, model data leakage, and training data poisoning.
• Contributing to the development of internal GenAI security testing checklists and methodologies, aligned with frameworks such as OWASP Top 10 for LLMs.

Qualifications

• Experience in information security, penetration testing, or a related field.
• Experience or coursework in software development, DevOps, or scripting is highly desirable.
• At least one relevant security certification (e.g., Security+, eJPT, PNPT, CEH, or equivalent) preferred; advanced offensive security certifications such as OSCP are a plus.
• Foundational understanding of web application architecture, networking, and operating system security.
• Familiarity with common penetration testing tools (e.g., Burp Suite, Nmap, Metasploit, Nuclei, or equivalent).
• Working knowledge of OWASP Top 10, common CVEs, and vulnerability scoring frameworks (CVSS).
• Scripting ability in at least one language (Python, Bash, PowerShell, or similar); development experience is a strong plus.
• Basic understanding of cloud environments (AWS, Azure, or GCP) and associated security considerations.
• Exposure to SAST/DAST tools and secure code review practices is desirable.
• Awareness of GenAI security risks (prompt injection, LLM abuse, insecure AI integrations).

Requirements

• Experience in information security, penetration testing, or a related field.
• Experience or coursework in software development, DevOps, or scripting is highly desirable.
• At least one relevant security certification (e.g., Security+, eJPT, PNPT, CEH, or equivalent) preferred; advanced offensive security certifications such as OSCP are a plus.
• Foundational understanding of web application architecture, networking, and operating system security.
• Familiarity with common penetration testing tools (e.g., Burp Suite, Nmap, Metasploit, Nuclei, or equivalent).
• Working knowledge of OWASP Top 10, common CVEs, and vulnerability scoring frameworks (CVSS).
• Scripting ability in at least one language (Python, Bash, PowerShell, or similar); development experience is a strong plus.
• Basic understanding of cloud environments (AWS, Azure, or GCP) and associated security considerations.
• Exposure to SAST/DAST tools and secure code review practices is desirable.
• Awareness of GenAI security risks (prompt injection, LLM abuse, insecure AI integrations).

Benefits

• U.S. National Base Pay Range: $71,600 - $119,400. Geographic differentials may apply in some locations to better reflect local market rates.
• If performed in Colorado, the base pay range is $71,600 - $119,400.
• If performed in New York, the base pay range is $78,700 - $131,400.
• If performed in New York City, the base pay range is $85,900 - $143,300.
• If performed in Rochester, NY, the base pay range is $71,600 - $119,400.
• If performed in New Jersey, the base pay range is $84,546 - $135,054.
• This job is eligible for an annual incentive bonus.

Company Description

Elsevier is a renowned global information analytics company that primarily focuses on providing scientific, technical, and medical (STM) research content, tools, and services. It is one of the largest publishers of academic journals and scholarly literature in the world.

• Elsevier operates in various domains, including science, technology, medicine, social sciences, and more.
• They publish a vast number of peer-reviewed journals covering a wide range of disciplines.
• These journals act as platforms for researchers and academics to share their findings and contribute to the advancement of knowledge in their respective fields.
• In addition to publishing, Elsevier offers a suite of digital solutions and services to support researchers, scientists, and professionals in their work.
• They provide online platforms like ScienceDirect, Scopus, and Mendeley, which offer access to a vast repository of scholarly articles, research papers, and other scientific content.