Practice Group / Department:IT Security
A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully.
- Operations and RiskJob DescriptionNorton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East.
We provide a full scope of legal services to the world’s preeminent corporations and financial institutions.Our vision is to be a world class business, profitable, ambitious, cooperative and considerate, supporting our clients and people through our global business principles of Quality, Unity and Integrity.We apply our business principles to all our activities world-wide.
They describe our culture and personality both internally and externally, the way we work and what we stand for.The RoleThe Senior Information Security Engineer is a senior technical role within the Global Information Security function, focused on securing cloud platforms, cloud-native services, artificial intelligence solutions, and the identities, data, applications, and integrations that support them.
The role works across Azure, GCP, SaaS, AI platforms, and enterprise technology to translate security requirements into practical, scalable, and supportable controls.The role combines hands-on cloud security engineering with technical governance.
The successful candidate will lead cloud and AI security assessments, define secure architecture patterns, improve posture and monitoring, investigate complex security issues, automate control validation, and provide clear risk-based recommendations to technical and senior stakeholders.The TeamThe Global Information Security team delivers strategic and operational improvements that strengthen the Firm’s security posture.
The team works across regions and technology functions to define security standards, improve visibility, manage cyber risk, and ensure that cloud and enterprise services are securely designed, implemented, monitored, and continuously improved.Key ResponsibilitiesCloud Platform, Identity & Workload SecurityDefine and continuously improve security controls and reference patterns across Azure, AWS, cloud-native services, SaaS platforms, containers, serverless workloads, virtual machines, storage, databases, APIs, and supporting network services.Assess cloud architectures and configurations for identity, network exposure, encryption, secrets management, key management, logging, resilience, data protection, and secure administrative access.Lead technical investigations involving cloud identities, service principals, managed identities, workload identities, API permissions, privileged access, exposed services, misconfiguration, and suspicious cloud activity.Embed security into cloud engineering and delivery practices by working with architects, platform teams, developers, and service owners to apply secure-by-design guardrails throughout the technology lifecycle.Cloud Posture, Exposure & Security AssuranceOwn and improve cloud security posture and workload-protection processes, including platform onboarding, control baselining, finding validation, risk prioritization, remediation tracking, exception handling, and integration with governance processes.Support vulnerability and exposure management across internet-facing assets, cloud workloads, applications, containers, and SaaS services using available posture, vulnerability, attack-surface, and threat data.Perform security reviews of cloud solutions, integrations, APIs, infrastructure-as-code, and technology changes, with emphasis on least privilege, segmentation, encryption, logging, auditability, secure configuration, and operational ownership.AI Security, Automation & EngineeringDefine and apply security requirements for enterprise AI, generative AI, copilots, agents, machine-learning services, and AI-enabled SaaS solutions, including data access, prompt and response handling, model or service permissions, identity, logging, retention, and human oversight.Assess AI-specific threats and control gaps, including prompt injection, sensitive-data leakage, insecure agent actions, excessive permissions, unapproved integrations, third-party model risk, and inadequate monitoring; translate findings into proportionate safeguards.Build automation and proof-of-concept solutions using PowerShell, Python, KQL, APIs, policy-as-code, infrastructure-as-code, cloud-native functions, and workflow technologies, and mature successful concepts into governed, supportable services.Monitoring, Governance, Reporting & LeadershipDefine security-telemetry and detection requirements for cloud and AI services, and work with monitoring teams to ensure relevant identity, administrative, data-access, workload, and application activity is available for investigation and response.Develop and maintain cloud and AI security standards, architecture patterns, technical procedures, assessment methodologies, runbooks, and control-validation processes.Provide technical input to security incidents, threat-led investigations, assurance reviews, audits, client inquiries, and risk assessments involving cloud or AI services.Create meaningful KPIs, dashboards, technical reports, and executive-ready summaries that communicate cloud and AI risk exposure, control effectiveness, remediation progress, and operational trends.Provide technical leadership, coaching, and knowledge
Senior Information Cloud Security Engineer in Kennington employer: Norton Rose Fulbright
Norton Rose Fulbright is an exceptional employer, offering a dynamic work culture that prioritises collaboration and professional growth. As part of the Global New Business Risk Team in Newcastle upon Tyne, employees benefit from a supportive environment that encourages continuous learning and development, alongside competitive remuneration and flexible working arrangements. The firm's commitment to regulatory excellence and client service ensures that every team member plays a vital role in shaping the future of legal risk management.
