Senior Cybersecurity Specialist, AI and Cloud Security

Location: Dubai, UAE

About Pure Health

Pure Health is the largest integrated healthcare platform in the Middle East, driving transformation across healthcare delivery, insurance, diagnostics, data, AI, and digital infrastructure. We work closely with governments and enterprises to deliver secure, scalable, and future ready technology platforms that support national health outcomes and innovation at scale.

Role Overview

We are seeking a highly skilled cybersecurity professional with strong expertise in securing AI driven platforms, with a particular focus on Large Language Model based applications and cloud native infrastructure. This role will act as a key subject matter expert for Cloud Security Posture Management and container security, working at the intersection of DevOps, Security, and AI engineering.

While our platform leverages LLMs and Knowledge Graphs, the immediate priority of this role is to secure the cloud infrastructure and containerized backend that powers these systems. You will design and implement security controls across microservices, data pipelines, and AI execution environments to ensure resilience, compliance, and trust.

Key Responsibilities

Cloud Security and Architecture

• Define and enforce secure configuration standards across cloud environments

• Implement Cloud Security Posture Management to detect and remediate misconfigurations in real time

Container and Kubernetes Security

• Lead security strategy for containerized workloads

• Secure Kubernetes clusters, including pod security, network policies, and runtime protection

Identity and Access Management

• Design least privilege access models for users, services, and AI agents

• Manage complex permissions across cloud resources, databases, and AI systems

API and Application Security

• Secure API gateways and internal service communication

• Perform backend and API security reviews

Database and Data Layer Security

• Secure graph and vector databases

• Implement strong access controls to prevent unauthorized traversal and data exposure

Secure SDLC and DevSecOps

• Champion shift left security practices

• Automate SAST, DAST, and SCA within CI CD pipelines

AI and LLM Security

• Secure AI and ML pipelines against data poisoning and unauthorized access

• Deploy guardrails to prevent prompt injection and PII or PHI leakage

• Design sandboxed environments to isolate LLM execution and prevent lateral access

Required Qualifications

• Strong experience securing cloud native environments

• Proven expertise in Docker and Kubernetes security

• Solid background in application and API security

• Experience securing complex data platforms, including graph-based systems

• Hands on experience designing cybersecurity architecture for AI and ML systems

• Strong understanding of LLM vulnerabilities such as prompt injection and insecure plugin design

• Familiarity with OWASP Top 10 for LLMs

• Deep knowledge of zero trust principles, IAM, sandboxing, and secure API design

Why Join Pure Health

• Work on large scale national and enterprise AI platforms

• Solve complex security challenges at the intersection of AI, cloud, and healthcare

• Be part of a mission driven organization shaping the future of digital health

• Collaborate with highly skilled technology, AI, and security leaders

Diversity and Inclusion

Pure Health is an equal opportunity employer. We are committed to building an inclusive workplace and welcome applications from all qualified individuals regardless of gender, nationality, age, disability, or background.

Senior Cybersecurity Specialist, AI and Cloud Security