As a Cloud Infrastructure and AI Security, you will play a key role in securing multi-cloud infrastructure, embedding security into DevSecOps, and ensuring AI platforms and agentic integrations are built and operated with enforceable security controls.
This role requires deep, hands-on expertise across Cloud Infrastructure Security and AI Security. You will actively design, implement, and enforce security controls across multi-cloud environments and Agentic AI, working closely with R&D, Product, and DevOps teams to embed security directly into architecture and development from day one.
You will operate at the forefront of cloud security, AI and blockchain, helping define how agentic AI systems are implemented safely in production. This is an opportunity to work on cutting edge technologies, collaborate with experienced security and engineering professionals, and grow within one of the most advanced and rapidly evolving domains in modern security.
What You'll Do:
Design, implement, and maintain security controls across multi-cloud infrastructures
Work closely with R&D teams to understand constraints and risks in Agentic AI and Infrastructure
Design and implement runtime AI security controls (guardrails, filters, policy engines, gateways).
Build protections for LLM inference, agent tool execution, MCP / plugin frameworks, and RAG pipelines.
Implement prompt, input, and output inspection for abuse, jailbreaks, data leakage, and policy violations.
Secure Infrastructure, CI/CD pipelines, and automation workflows by embedding DevSecOps best practices
Conduct security reviews of product features, new technologies and ensure they meet security requirements.
Secure Kubernetes clusters and containerized workloads in production environments
Evaluate AI attack vectors (prompt injection, model poisoning, data exfiltration, jailbreaks, emerging attack patterns) and implement effective mitigations
Collaborate with other security teams to resolve security issues and implement security improvements.
Lead security projects and initiatives across environments to enhance the platform's security.
Requirements: At least 3 years of experience with AWS, GCP, or Azure
Experience working with Agentic AI platforms such as Onyx, Noma, Cyata, Pilar, AKTO, or similar enterprise Agentic AI, strong plus but not mandatory.
Strong knowledge and experience with DevSecOps practices
In-depth knowledge of security best practices and technologies, including encryption, identity and access management, and network security
Experience with securing Kubernetes
Proficiency with cloud security tools such as CSPM, CWPP, CADR
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
Experience in leading security projects across complex multi-cloud architectures
Industry certifications, CISSP,, AWS Certified Security Specialty, or AI security certifications
This position is open to all candidates.