Engineering

Platform Engineer Manager

Tel Aviv – Full-time
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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.

We are looking for a highly skilled and passionate Platform Engineer to take ownership of our critical infrastructure, ensuring scalability, cost-effectiveness, and high performance. This role is ideal for an engineer who thrives in high-growth environments, enjoys solving complex problems, and is eager to drive technological innovation.

As a Platform Engineer, you will:

  • Own and evolve our critical architecture infrastructure, ensuring it is robust and scalable
  • Optimize cost-effectiveness while maintaining high availability and reliability.
  • Champion best practices in infrastructure management, automation, and deployment.
  • Drive engineering excellence and improve team velocity.
  • Think creatively to solve complex engineering challenges and introduce technological innovations.
  • Collaborate with cross-functional teams through open discussions, design reviews, and code reviews.
  • Develop and enhance microservices and internal infrastructure tools.

Qualifications:

  • 3+ years in managing platform engineers teams.
  • Expertise in modern programming languages, such as Python, C#, Java, Scala, Kotlin, TypeScript, or JavaScript.
  • Strong understanding of infrastructure code, SOLID principles, and infrastructure-as-code tools.
  • Experience working on large-scale cloud services (AWS, Azure, or GCP).
  • Proficiency in DevOps practices and monitoring cloud-based services.
  • Hands-on experience in Agile environments with CI/CD pipelines.
  • Experience in high-growth startup environments, with a mindset for scalability and efficiency.
  • Familiarity with big data technologies such as Kafka, Spark, and OpenSearch.

Bonus Points:

  • Experience with big data formats such as Parquet, Avro, Delta Lake, or Iceberg.
  • Hands-on experience managing Kubernetes clusters, evolving them, and leading Kubernetes adoption.

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