Security Architect at EIT designing and evolving security architecture for diverse environments. Collaborating with teams to integrate security in advanced research systems and platforms.
Responsibilities
Define and maintain the institute’s security architecture and target-state security models
Design security controls for new and existing systems, platforms, and services
Review solution designs and technical changes to ensure alignment with security standards
Produce clear architectural documentation, diagrams, and design patterns
Design security architectures for cloud, on-premise, and hybrid environments
Define identity, access, network segmentation, encryption, and monitoring patterns
Advise on secure adoption of new technologies and services in the context of AI, robotics, and data platforms and HPC.
Translate threat models and risk assessments into architectural controls
Conduct security architecture reviews and threat modelling exercises
Support security assurance activities and provide architectural input to audits and assessments
Define security architecture standards, reference architectures, and design principles
Ensure architectural alignment with frameworks such as ISO 27001, NIST, and Zero Trust
Contribute to institutional security strategy and long-term roadmap planning
Act as a trusted technical authority on security architecture
Influence technology decisions through clear risk-based recommendations
Support scientific operations and engineering teams with architectural guidance.
Requirements
Proven experience as a Security Architect or senior security engineering role
Designing security for complex, distributed environments
Supporting cloud-first or hybrid infrastructures
Working with sensitive data, IP, or regulated research information (ISO27001, etc)
Experience with cloud platforms (OCI) in a security context
Able to cross collaborate with different stakeholder groups,
Promoter of IT security as an enabler not blocker.
For the Institutes & Programmes Security Architect role - Security Architect Experience in research, higher education, scientific computing, aerospace or engineering environments is essential.
Experience in research, higher education, or scientific computing environments
Familiarity with HPC, large-scale data platforms, or AI/ML infrastructure
Relevant certifications (e.g. CISSP, CCSP, SABSA, TOGAF with security focus)
Experience with advising scientific staff and researchers within an R&D environment
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