Director of Platform Engineering

Description:

About Zenity

Zenity is the first security and governance platform purpose-built for AI agents — spanning SaaS, home-grown platforms, and end-user devices. Trusted by Fortune 500 enterprises, we help security teams confidently adopt AI by delivering defense-in-depth with full-lifecycle coverage: from agent discovery and posture management to real-time detection, prevention, and response. We recently closed a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and others, and we're scaling fast to meet surging enterprise demand for AI agent security.

About the Role

We're looking for a Director of Platform Engineering to lead our Platform group — a team responsible for both software engineering and the more traditional Platform/DevOps/infrastructure domains. This is a unique opportunity to shape the future structure and direction of the group as we scale, working closely with our engineering leadership to define how we build, operate, and secure the infrastructure behind our product.

Responsibilities:

• Lead and grow a team spanning software engineering, Platform, DevOps, and infrastructure
• Own the architecture and operational excellence of our cloud infrastructure (multi-cloud, Kubernetes, CI/CD)
• Drive initiatives across BYOC (Bring Your Own Cloud) and other software-focused product capabilities
• Partner closely with Product, R&D, and executive leadership to align technical direction with business priorities
• Build and scale engineering processes, culture, and best practices as the team grows
• Recruit, mentor, and develop engineering managers and senior ICs

Requirements:

• 5+ years of experience in engineering leadership, with direct management of both software engineering and Platform/DevOps/Infrastructure functions
• 9+ years of overall experience in the field
• Proven experience scaling technical teams in a high-growth startup environment
• Deep hands-on background in cloud architecture (AWS/GCP/Azure), Kubernetes, and CI/CD at scale
• Strong familiarity with modern AI concepts and practical experience applying AI to engineering workflows (e.g., agent orchestration, AI-driven developer tooling)
• Excellent communication skills and experience partnering with cross-functional leadership
• Experience in cybersecurity or a related regulated/enterprise domain is a strong plus

Nice to Have

• Experience with identity, data, or cloud security platforms
• Background in building developer platforms or internal tooling
• Experience operating in regulated/enterprise environments (e.g., FedRAMP, SOC2)