About the role

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 a visionary Senior System QA Networking to join our Automation teams. As a member of this team, you will be responsible for the design, implementation and maintenance of Automated tests using our Java-based framework. Our Automated tests cover various aspects of the product, including complex networking topology, traffic, security rules, and user's authentication scenarios.

Responsibilities:

Own end-to-end troubleshooting of complex issues across networking, Linux OS, and distributed systems; drive root cause analysis and prevention.
Lead scale and robustness initiatives: capacity planning inputs, performance tuning, latency/packet-loss reduction, resiliency improvements.
Design and build automation and tooling for infrastructure validation, provisioning, diagnostics, and continuous verification.
Define, set up, and maintain production-like lab environments (servers, switches, virtualized/cloud environments).
Hands-on configuration and maintenance of servers and switches (VLAN/LACP/STP).
Collaborate with multiple interfaces (R&D/SRE/IT/Sec/Product) and lead projects independently from design to delivery, including documentation.

Requirements:

4+ years in a role that includes hands-on networking + Linux troubleshooting in complex environments (production/lab).
Deep knowledge of networking concepts and protocols (L2–L7), including routing (e.g., BGP/OSPF) – practical troubleshooting level.
Strong hands-on Linux experience, including debugging with journalctl/systemd, tcpdump, iproute2, etc.
Strong Bash/Linux scripting skills, ability to develop automation tools and reusable scripting libraries for debugging, infrastructure validation, and operational workflows.
Proven ability to lead tasks/projects independently; excellent communication in cross-functional environments.

Advantages:

Hands-on experience configuring switches/routers.
Hands-on experience with Java and OOP/OOD principles; ability to design and develop internal tools and reusable libraries.
Experience with observability stacks (Prometheus/Grafana) and incident/postmortem processes.
Experience with automation frameworks (Ansible/Terraform), CI/CD, and cloud (AWS/Azure).

Skills & Tags

java go rust aws azure ai ios data

Aplyr's read

Cato Networks is a leading cloud-based cybersecurity firm, attracting professionals skilled in AI, network security, and global sales strategies.
Synthesized from recent postings & public sources

What's promising

•Cato Networks offers innovative cloud-based security solutions, addressing modern cybersecurity challenges.
•The company is expanding its AI capabilities, hiring roles like AI Team Lead and Agentic AI Engineer.
•Cato Networks is growing globally, with roles like Country Manager and Channel Account Manager in diverse regions.

What to watch

•The competitive cybersecurity market requires constant innovation to maintain a leading position.
•Rapid expansion may challenge internal communication and operational consistency.
•Dependence on cloud infrastructure could pose risks if service disruptions occur.

Why Cato Networks

•Cato Networks integrates AI into its cybersecurity solutions, enhancing threat detection and response.
•The company offers a unified platform for secure access, simplifying network security management.
•Cato Networks' focus on global expansion is evident in its diverse hiring across regions and functions.

Aplyr’s read is generated by AI from public sources. Was it useful?