Senior Security Engineering

About our TeamYou’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 RoleAs 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 toolingResponsibilitiesLeading 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.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.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.Experience designing and maintaining CI/CD pipelines (e.g. 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. Experience with Agile and/or DevOps frameworks, including driving improvements to team process and delivery practices.

Geographic differentials may apply in some locations to better reflect local market rates.

This job is eligible for an annual incentive bonus.

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