Senior Cloud Security Architect: Kubernetes & AI Threats

Overnox; United States; Remote; USD 180,000 - 270,000; Full time

Job summary

Overnox is seeking a senior security leader to set the technical direction for cloud and Kubernetes security across multiple client engagements. The role blends architectural influence with hands-on work, covering secure-by-default platforms, pipeline hardening, detection engineering, and AI/LLM threat awareness.

It is a player-coach position that raises the bar for the security practice. The ideal candidate has deep cloud security expertise, hands-on experience with DevSecOps tooling, and a

Qualifications

• Extensive security engineering with progression into leadership.
• Deep cloud security expertise across AWS, GCP or Azure with Kubernetes hardening.
• Hands-on DevSecOps tooling: SAST/DAST/SCA and secret management.
• Experience building or operating a detection engineering program (SIEM/EDR or equivalents).
• Strong communication skills for engineers and executive stakeholders.
• Familiarity with AI and LLM threat landscapes (prompt injection, model exfiltration, supply-chain risk).

Responsibilities

• Define and evolve security architecture standards for cloud and Kubernetes environments across client platforms.
• Embed security controls into CI/CD pipelines, including scanning, policy-as-code, and supply-chain protections.
• Design and tune detection content for runtime threats, including AI/LLM attack patterns.
• Lead threat modeling, architecture reviews, and risk assessments for new initiatives.
• Mentor other engineers and review their work to raise security engineering quality.
• Align security investments with business risk through clear stakeholder communication.

Skills

Security leadership

Cloud security

Threat modeling

Stakeholder communication

Detection engineering

Mentoring/people leadership

Tools

SAST tooling

DAST tooling

SCA tooling

Secret management

SIEM

EDR

Custom detection rules

Job description

Overnox is seeking a senior security leader to set the technical direction for cloud and Kubernetes security across multiple client engagements. The role blends architectural influence with hands-on work, covering secure-by-default platforms, pipeline hardening, detection engineering, and AI/LLM threat awareness.

It is a player-coach position that raises the bar for the security practice. The ideal candidate has deep cloud security expertise, hands-on experience with DevSecOps tooling, and a