Senior Cloud Security Engineer - Kubernetes & Cloud

CAST AI; Miami (FL); Remote; GBP 90,000 - 135,000; Full time

Job summary

CAST AI is seeking a Security Engineer to own the security of its cloud-native platform. The role focuses on identifying high-impact risks, defining practical mitigations and guiding engineering teams across AWS, GCP and Azure, Kubernetes environments and AI-enabled systems.

You will work as a hands-on contributor in a fast-moving, security-driven product organization, helping reduce threat exposure while aligning with compliance and incident-response practices.

Qualifications

• 5–6 years of professional security experience.
• 10+ years ideal.
• Hands-on experience with cloud security tooling in production (Wiz/Upwind etc.).
• Strong cloud infrastructure security knowledge (compute, networking, IAM, storage).
• Experience with AWS, GCP or Azure; architecture reasoning.
• Kubernetes and cloud-native infrastructure knowledge.
• STRIDE threat modeling experience.
• Go or Python coding/automation.
• Excellent written and spoken English.

Responsibilities

• Learn CAST AI architecture and identify security risks.
• Operate cloud security tooling and ensure actionable findings.
• Build threat models for product and backend.
• Assess findings by business impact and exploitability.
• Present risks to leadership and advocate mitigations.
• Drive security control implementations across engineering.
• Translate compliance requirements into technical work.
• Contribute to security standards for cloud infra and AI systems.
• Support incident response and reduce alert noise.
• Use scripting or code to validate risks.

Skills

Security experience

Cloud security tooling

AWS/GCP/Azure

Kubernetes security

Threat modeling

Go or Python

English

Adaptable

RBAC

Tools

Wiz

Upwind

Job description

CAST AI is seeking a Security Engineer to own the security of its cloud-native platform. The role focuses on identifying high-impact risks, defining practical mitigations and guiding engineering teams across AWS, GCP and Azure, Kubernetes environments and AI-enabled systems.

You will work as a hands-on contributor in a fast-moving, security-driven product organization, helping reduce threat exposure while aligning with compliance and incident-response practices.