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À propos de ce poste Software Engineer chez Cato Networks

Cato Networks · Sur site · Tel Aviv District, Israel

Cato Networks is the converged network and security cloud for the AI era. 

As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. 

Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. 

 

We’re looking for an experienced Software Engineer to join the Cato team. In this critical role, you will join an excellent team of experienced engineers and solve architectural and engineering challenges.

Responsibilities:
  • End to End development from the processing of large-scale data to web interfaces
  • Working closely with multiple stack holders - product management, research, SOC and NOC services and automation teams
  • Designing and Implementing enterprise platform solutions
  • Researching new technologies and adapting them for use within the company’s product
  • Collaborating with multiple development teams

Requirements:
  • 3+ years of backend development. We’re using Java, Go, Play framework, Spring boot, GQL, etc.
  • Excellent knowledge of NoSQL DBs and relational DBs. We’re using PostgreSQL, MySQL, MongoDB, Redis and more.
  • BSc. degree in Computer Science from a known university or similar
  • Motivated, a fast learner, independent, and great at problem-solving

Advantages:
  • Familiar with AWS technologies 
  • Knowledge and experience in designing and implementing security products
  • Experience working on large monitoring and analytics projects
  • Experience in building and operating SaaS microservices with high scale and load in production
  • Experience testing services in continuous integration methodology
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