Senior DevOps Engineer

Posted 2 Days Ago
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Tel Aviv, ISR
Hybrid
Senior level
Cloud • Security • Cybersecurity
Secure AI Agents Everywhere
The Role
Lead the design, implementation, and evolution of scalable, secure cloud infrastructure across AWS and multi-cloud environments. Build automation frameworks, infrastructure-as-code, CI/CD pipelines, observability systems, and resilient production platforms. Partner with engineering teams to improve deployment efficiency, reliability, and developer productivity. Make technical tradeoffs involving cost, speed, and performance while mentoring teams and promoting DevOps culture and operational ownership.
Summary Generated by Built In
Description

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.

Position Overview:

We are looking for a hands-on Senior Devops to drive the design, implementation, and evolution of our cloud infrastructure. You’ll take ownership of building scalable, reliable, and secure systems that empower engineering teams to deliver with speed and confidence. You’ll operate in a fast-paced environment, balancing innovation and pragmatism, and fostering a culture of continuous improvement and operational excellence.

Responsibilities:

  • Lead end-to-end technical initiatives to design and manage cloud infrastructure across AWS and other multi-cloud environments.
  • Build and evolve automation frameworks and internal tools using Python, Bash, and modern infrastructure-as-code technologies (Terraform or equivalents).
  • Architect, implement, and maintain CI/CD pipelines that streamline delivery and improve developer productivity.
  • Champion observability, reliability, and performance — establishing best practices around monitoring, alerting, and system health visibility.
  • Collaborate closely with cross-functional engineering teams to enable scalable deployments, efficient development workflows, and resilient production systems.
  • Drive technical tradeoff decisions that balance speed, cost, and reliability in a dynamic, growth-oriented environment.
  • Act as a mentor and advocate for DevOps culture, enabling teams to take ownership of infrastructure and operations.
Requirements
  • 6+ years of DevOps or Infrastructure Engineering experience in high-growth product environments.
  • Proven track record of leading or owning complex system deployments and cloud architectures end-to-end.
  • Expertise in cloud platforms (preferably AWS) with strong understanding of networking, security, and scalability best practices.
  • Proficiency in scripting and automation using Python and Bash.
  • Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or equivalent).
  • Deep familiarity with CI/CD systems (GitHub Actions, Gitlab, Jenkins or similar) and container orchestration (Kubernetes, ECS, or EKS).
  • Experience building observability stacks (Prometheus, Grafana, ELK, Datadog, etc.).
  • Excellent collaboration and communication skills — a positive, pragmatic team player who thrives in high-velocity, tradeoff-driven environments.

Skills Required

  • 6+ years of DevOps or Infrastructure Engineering experience in high-growth product environments
  • Experience leading or owning complex system deployments and cloud architectures end-to-end
  • Expertise in cloud platforms, preferably AWS, including networking, security, and scalability best practices
  • Proficiency with Python and Bash scripting and automation
  • Hands-on experience with Infrastructure as Code, such as Terraform or CloudFormation
  • Deep familiarity with CI/CD systems such as GitHub Actions, GitLab, or Jenkins
  • Experience with container orchestration, such as Kubernetes, ECS, or EKS
  • Experience building observability stacks using tools such as Prometheus, Grafana, ELK, or Datadog
  • Excellent collaboration and communication skills

Zenity Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zenity and has not been reviewed or approved by Zenity.

  • Fair & Transparent Compensation — Pay is considered competitive and generally favorable, with indications that totals can be strong for key roles. While volume of signals is limited, sentiment toward compensation trends positive.
  • Strong & Reliable Incentives — Go-to-market roles appear to feature robust variable compensation and high on-target earnings. Role and location differences are evident, which can shape incentive outcomes.
  • Equity Value & Accessibility — Equity is routinely referenced as part of offers, indicating broad eligibility consistent with growth-stage startups. This points to accessible upside potential alongside cash compensation.

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The Company
HQ: Asnières-sur-Seine
147 Employees
Year Founded: 2021

What We Do

Zenity is the first security and governance platform purpose-built for AI agents - spanning SaaS, home grown platforms (Cloud), and end-user devices (Endpoint). Trusted by Fortune 500 enterprises, Zenity helps 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. As enterprises adopt Microsoft Copilot, Salesforce Agentforce, AWS Bedrock, and developer tools like GitHub Copilot, Zenity eliminates blind spots and enforces consistent policy across environments so organizations can innovate with AI, without compromising security. Learn more at www.zenity.io.

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