Welcome to the future of cloud networking and security!
Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028.
This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it!
We’re looking for an experienced Software Engineer to join the Cato DataSec team. In this critical role, you will join a team of experienced engineers building the next generation of Cato’s Data Security platform. You will design and develop large-scale backend systems that process massive amounts of security data, build data pipelines, and enable advanced analytics and AI-driven security capabilities.
Responsibilities
- Design and develop scalable backend services and data-intensive applications.
- Build and maintain large-scale data pipelines that process and analyze massive volumes of security data.
- Own features end-to-end, from architecture and backend implementation to production deployment.
- Work closely with Product Management, Research, Data Science, SOC, NOC, and Automation teams to deliver new capabilities.
- Design and implement enterprise-grade platform solutions with a focus on scalability, reliability, and performance.
- Research and adopt new technologies to improve data processing, analytics, and AI-driven security products.
- Collaborate with multiple engineering teams across the organization.
Requirements
- 6+ years of backend development experience using Java (Go is a plus).
- Strong experience building high-scale SaaS microservices running in production.
- Experience designing and developing data-intensive backend systems, including large-scale data processing or data pipelines.
- Strong knowledge of both relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis, etc.).
- Experience working with distributed systems and high-volume data processing.
- Experience with CI/CD and automated testing methodologies.
- B.Sc. in Computer Science or equivalent.
- Strong ownership, excellent communication skills, fast learner, and passionate about solving complex engineering challenges.
Advantages
- Experience with Data Engineering technologies (Kafka, Spark, Airflow, Flink or similar).
- Experience working on large-scale analytics, monitoring, or data platforms.
- Experience with AWS and cloud-native technologies.
- Experience designing or developing security products.
- Experience working with AI/ML infrastructure or integrating AI-driven capabilities into backend systems.