DevOps Team Lead
Summary
Leads a DevOps team to design, maintain, and scale cloud infrastructure and platform services for an AI security platform, ensuring reliability, automation, and cross-product consistency.
About Us:
Zenity is the leader in AI Agent Security and the first company to bring an agent-centric security platform to market. As enterprises accelerate AI agent adoption, we are establishing the security framework for how AI agents are secured and governed at enterprise scale.
We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and end-user devices. Backed by $180M+ in total funding, including a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and Microsoft's M12, Zenity is trusted by Fortune 500 and Global 2000 enterprises worldwide.
Join us in shaping how AI agents are secured at enterprise scale.
About the Role:
We are looking for a highly skilled and passionate DevOps Team Lead to lead our 6-person platform engineering team, responsible for critical infrastructure, platform services, and core cross-product capabilities, ensuring scalability, reliability, maintainability, and high performance.
This role reports to the Director of Engineering overseeing Infrastructure, Platform, Outpost, and DevOps, as part of a broader infrastructure organization with significant scope and impact across the company.
This role is ideal for an experienced engineering leader who is passionate about technology, thrives in high-growth environments, enjoys solving complex technical challenges, and is eager to drive technological innovation.
What You’ll Do
Responsibilities:
- Lead and manage a platform/DevOps engineering team of 6, including hiring, mentorship, performance reviews, and goal-setting.
- Own the architecture, scalability, and reliability of core infrastructure and platform services supporting all products.
- Design and operate large-scale, multi-cloud services (AWS/Azure/GCP), including cost and security ownership.
- Drive Infrastructure as Code, GitOps, CI/CD, and observability practices across the organization.
- Make technical decisions on large-scale data technologies such as Kafka, Spark, and OpenSearch.Own cross-product platform capabilities, ensuring consistency and engineering standards across teams.
- Manage the team's priorities, roadmap, and technical budget in coordination with engineering leadership.
Requirements
Requirements:
- 3+ years of experience managing engineering teams.
- 10+ years of professional experience in the software industry.
- Strong hands-on experience with modern programming languages such as Python, TypeScript, or Go.
- Strong understanding of software engineering principles, including SOLID, infrastructure architecture, Infrastructure as Code, and GitOps.
- Experience designing and operating large-scale cloud services on AWS, Azure, or GCP.
- Strong proficiency in DevOps practices, observability, and operating production cloud-based systems.
- Hands-on experience working in Agile environments and building CI/CD pipelines.
- Experience in high-growth startup environments, with a strong mindset around scalability, automation, and engineering efficiency.
- Familiarity with large-scale data technologies such as Kafka, Spark, and OpenSearch.