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.
As a Tech Lead DevOps Engineer, you'll own the technical strategy for our cloud infrastructure end-to-end, from architecture to production. You'll build the automation frameworks, IaC tooling, and CI/CD systems that let engineering ship fast and safely at scale, while setting the bar for observability, reliability, and incident response across the org. You'll work closely with engineering leadership to shape the infrastructure roadmap and make the tradeoffs between velocity, cost, security, and reliability, acting as a technical multiplier for the broader team.
What you'll do
Own and drive the end-to-end technical strategy for cloud infrastructure across AWS and multi-cloud environments, from conceptual architecture to production readiness.
Design and implement advanced automation frameworks, internal developer platforms, and tooling utilizing Python, Bash, and modern infrastructure-as-code technologies (e.g., Terraform, CDKTF).
Architect and continuously evolve CI/CD systems and delivery pipelines at scale, reducing friction and elevating developer productivity and deployment safety standards.
Define and enforce organization-wide observability, reliability, and performance standards, establishing best practices for monitoring, alerting, incident response, and system health.
Partner closely with engineering leadership and cross-functional teams to shape infrastructure roadmaps, enable scalable deployments, and ensure resilient production systems.
Make and own high-impact technical tradeoff decisions that judiciously balance velocity, cost efficiency, security, and reliability in a dynamic, growth-oriented environment.
Serve as a technical mentor and force multiplier, elevating the infrastructure capabilities of the broader engineering organization and championing a DevOps-first culture.
Requirements
8+ years of hands-on DevOps, Infrastructure, or Platform Engineering experience, preferably in high-growth product environments.
Demonstrated ability to lead complex, cross-cutting technical initiatives end-to-end — from initial design and implementation through operational maturity and rollout.
Deep expertise in cloud platforms (preferably AWS) with advanced knowledge of networking, security architectures, cost optimization strategies, and scalability patterns.
Strong software engineering fundamentals and proficiency in Python, Bash, with beneficial experience in languages like TypeScript or Go for tooling and automation development.
Expert-level hands-on experience with Infrastructure as Code (e.g., Terraform, CDKTF, CloudFormation) and implementing modern GitOps workflows.
Advanced knowledge of CI/CD systems (e.g., GitHub Actions, Jenkins) and experience with production-grade container orchestration platforms (e.g., Kubernetes, EKS, or ECS).
Proven experience designing and operating robust observability stacks at scale (e.g., Prometheus, Grafana, ELK, Datadog).
Outstanding collaboration and communication skills; a technically rigorous, pragmatic leader who thrives in high-velocity environments and builds trust through deep technical knowledge and sound judgment.