Job Description

About Us

Zenity is the first and only holistic platform built to secure and govern AI Agents from buildtime to runtime. We help organizations defend against security threats, meet compliance, and drive business productivity.

Trusted by many of the world’s F500 companies, Zenity provides centralized visibility, vulnerability assessments, and governance by continuously scanning business-led development environments.

We recently raised $38 million in a Series B funding, solidifying our position as a leader in the industry and enabling us to accelerate our mission of securing AI Agents everywhere.

Responsibilities:

• 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.