Senior Cybersecurity Engineer

We are seeking a hands-on Senior Cybersecurity Engineer to lead the security engineering and operational oversight of enterprise AI platforms, Azure cloud infrastructure, and modern cybersecurity technologies. This individual will play a key role in designing, implementing, and maintaining security controls that protect highly sensitive business data while supporting secure adoption of AI technologies across the organization. Key Responsibilities AI Security & Platform Operations Administer and optimize enterprise AI security platforms including Harmonic Security, LayerX, AppOmni, or similar technologies. Develop and maintain security policies, alert tuning, detection logic, and platform integrations with identity, endpoint protection, and data loss prevention solutions. Collaborate with third-party vendors supporting enterprise AI environments while maintaining operational ownership, documentation, and incident readiness. Manage governance and security controls for enterprise AI platforms such as OpenAI ChatGPT Enterprise, Google Gemini Enterprise, and Anthropic Claude Enterprise. Oversee identity federation, SCIM provisioning, audit logging, compliance API integrations, and secure access to AI applications. Support and continuously improve the organization's vulnerability management program, including integration with monitoring and observability platforms such as Grafana. Develop and maintain AI governance standards, operational procedures, and secure intake processes for evaluating new AI use cases. Cloud Security Engineering Manage and improve the organization's Microsoft Azure security posture across enterprise cloud environments. Secure Azure resources including Azure Virtual Desktop (AVD), FSLogix, Azure Front Door, API Management (APIM), Key Vault, Private Endpoints, storage, networking, and compute services. Design secure-by-default cloud architectures for new applications and infrastructure deployments. Develop and maintain Infrastructure-as-Code using Terraform, including reusable modules, state management, and deployment automation. Support DevOps and CI/CD pipelines while automating security controls and operational processes. Produce technical documentation, operational runbooks, and platform standards to support ongoing engineering efforts. Partner with infrastructure and application teams to ensure cloud-native and AI solutions are designed and deployed with security embedded throughout the development lifecycle. Security Engineering & Detection Design, implement, and maintain detection content across Microsoft Sentinel, Microsoft Defender, Darktrace, Taegis, or comparable security platforms. Create, refine, and optimize security alerts, detection rules, and automated response workflows. Develop Conditional Access policies and identity security controls within Microsoft Entra ID. Participate in incident response, security investigations, and remediation efforts involving cloud and enterprise environments. Conduct architecture and security design reviews to validate that new technologies meet organizational security standards before production deployment. Support third-party security assessments, vendor due diligence activities, and broader cybersecurity initiatives as needed. Required Qualifications 7–10 years of experience in cybersecurity engineering, cloud security, DevSecOps, or related security engineering disciplines. Extensive hands‑on experience securing Microsoft Azure environments. Strong knowledge of Microsoft Entra ID, Conditional Access, Defender for Cloud, Microsoft Sentinel, Azure Policy, Azure networking, Key Vault, Private Endpoints, and core Azure infrastructure services. Advanced Terraform experience, including reusable module development, Infrastructure-as-Code best practices, pipeline integration, and migration of manually deployed resources into code-based deployments. Experience working with AI security technologies including Harmonic Security, LayerX, Nightfall, AppOmni, or equivalent platforms. Understanding of prompt-level DLP, shadow AI detection, agentic workflows, and security considerations surrounding large language models (LLMs). Experience building and tuning detections across enterprise security platforms including Sentinel, Defender, Darktrace, Taegis, or similar SIEM/XDR solutions. Strong background in identity and access management, including Microsoft Entra ID architecture and Conditional Access policy design. Experience supporting regulated environments involving highly sensitive financial, customer, or confidential data. Working knowledge of security and compliance frameworks such as SOC2, GLBA, SEC requirements, or similar regulatory standards. Excellent written and verbal communication skills with the ability to communicate technical risks to both technical and executive stakeholders. Preferred Qualifications Previous experience supporting private equity, investment management, financial services, or similarly regulated industries. Experience securing Snowflake environments, including row-level security, audit logging, and data segregation controls. Familiarity with enterprise AI Landing Zone architectures or large-scale AI platform deployments. Industry certifications such as CISSP, AZ-500, GIAC GCSA, GPCS, or equivalent security certifications. We're seeking a technically driven cybersecurity professional who enjoys building, securing, and continuously improving modern cloud and AI environments. The ideal candidate combines strong engineering expertise with a security-first mindset, thrives in hands-on technical work, and takes ownership of the platforms they support. #J-18808-Ljbffr Leeds Professional Resources