3 of 3 Vulnerability Management Jobs in Radnorshire

features. Architect, Design, and Implement Infrastructure as Code (IaC): You will treat our infrastructure as a sophisticated software system, responsible for its comprehensive lifecycle management using Terraform. This involves applying best practices from software engineering, such as designing reusable code modules, implementing robust unit and integration testing strategies … tasks, reduce human error, and improve overall system reliability. This involves developing scripts, tools, and workflows to automate tasks such as infrastructure provisioning, configuration management, and monitoring. You will also proactively identify opportunities for automation and drive continuous improvement in our operational processes. Act as a Strategic Partner ...

define and maintain our IT and security policies, then turn them into working processes, technical controls and training that sticks: access reviews, vulnerability management, external testing, incident processes and an easy way to report concerns. Trust, assurance and compliance Customers increasingly want evidence that we take security seriously. … make that evidence easy to provide: security questionnaires, audit evidence, Cyber Essentials and future certifications, risk management and governance. Certifications should follow real controls, not stand in for them. Rather than answering every questionnaire from scratch, you ll build a reusable, increasingly self-service trust process. Where security meets ...

technical systems over repetitive 1:1 firefighting, but can step into consultative workshops when required. Qualifications Required 5+ years in Solutions Engineering, Technical Account Management, DevOps, Platform Engineering, or similar technical roles. Strong hands-on expertise in: Docker and container ecosystems Secure software supply chain practices CI/… communication skills; experience producing technical blogs or deep technical content. Preferred Hands-on experience with AI/ML development workflows, including model packaging, dependency management, reproducibility, and governance considerations within containerized environments. Practical Experience with AI coding agent runtimes and sandboxed execution environments (e.g., agent isolation, MCP tool governance ...