Senior Security Engineer - Sec Ops
AI in this role
Are you a collaborative Sec Ops Engineer looking to work for a mission driven global organization?
About our Team
You’ll be joining the Security Engineering team within Elsevier’s Information Security & Data Protection department. Our team designs, builds, and operates the security tooling and platforms used across Elsevier Technology, spanning both vendor platforms and team-built services. The team works closely with Incident Response, Threat Engineering, and Governance, Risk & Compliance (GRC), and partners with business and engineering teams to ensure security tooling is effectively adopted across our cloud estate.
About the Role
As a Senior Security Engineer, you help lead in designing, building, and operating security tooling at scale, while raising the technical bar for the wider team. You will own architecture decisions for one or more platforms, guide junior and mid-level engineers through code and design review, and act as a trusted technical voice with Incident Response, Threat Engineering, and GRC. This role suits someone with deep, hands-on cloud security engineering experience who is ready to take ownership beyond individual delivery, shaping how the team builds and operates security tooling
Responsibilities
- Leading the design, architecture, and delivery of security platforms and services.
- Owning and evolve Infrastructure as Code standards (Terraform) and CI/CD practices (GitHub Actions) across the team, ensuring reliable, secure, and repeatable deployments.
- Providing technical leadership and mentorship to junior and mid-level engineers, including design review, code review, and guidance on secure engineering practices.
- Driving integration, tuning, and lifecycle management of core security tooling.
- Partnering with Incident Response, Threat Engineering, and GRC to translate emerging threats, incidents, and compliance requirements into engineering solutions and roadmap priorities.
- Championing adoption of AI-assisted engineering practices (e.g. Claude Code, GitHub Copilot) to improve team velocity, code quality, and test coverage.
- Leading troubleshooting and root-cause analysis for security tooling incidents, and drive resilience improvements through capacity planning, disaster recovery planning, and runbook development.
- Representing SENG in architecture reviews and cross-functional technical forums, advocating for secure-by-design and secure-by-default practices.
- Delivering production-ready systems on time and within budget, and hold the team accountable to engineering and security standards.
Requirements
We recognize that no one will meet every requirement. If you are excited about this role and have relevant experience, we encourage you to apply.
- Significant hands-on experience in security engineering or a related field, including designing and operating cloud-native security platforms at production scale.
- Demonstrated ownership of security architecture in AWS (or OCI/Aliyun), including multi-account environments and cross-region/CN considerations.
- Advanced proficiency with Terraform and Infrastructure as Code practices, with experience setting standards and patterns for a team.
- Experience designing and maintaining CI/CD pipelines (e.g. GitHub Actions) for reliability and security.
- Broad, hands-on experience across security tool categories: SIEM, EDR, DLP, PAM, WAF, SOAR, and vulnerability management,
- Proven track record mentoring engineers and leading technical design decisions within a team.
- Advanced scripting and software development skills (e.g. Python), including experience building and operating production services (APIs, cronjobs) on Kubernetes/EKS.
- Practical experience with AI-assisted engineering tools (e.g. GitHub Copilot, Claude Code, Spec-driven development) and sound judgment on where they add the most value.
- Experience with Agile and/or DevOps frameworks, including driving improvements to team process and delivery practices.
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How we rate this
Senior Security Engineer - Sec Ops at RELX rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used Claude hands-on?
- Walk me through how you've used Copilot in your day-to-day work.
- What are the limits of Claude Code that you've run into, and how did you work around them?
Adapt your resume
- List these exact terms on your resume: Claude, Copilot, and Claude Code. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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