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Security Software Engineer — Container Network Security at Check Point Software · Trevo
More fit checks, tailored CVs, and complete prep for every role.
Job Description
About the role
Why Join Us?
At Check Point, what you do matters. Every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and AI-driven threats, securing their AI transformation.
Our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and AI systems, stopping attacks before they happen.
This is where innovation meets real-world impact. You’ll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.
We’re proud to be recognized by TIME, Newsweek, and Forbes for excellence and workplace culture.
What really sets Check Point apart is the opportunity to grow, contribute, and help companies navigate their AI transformation securely.
If you’re excited to work at the forefront of AI-driven security on a global scale, this is the place to do it.
What you'll do
We are looking for a security programmer to help us build the next generation AI container network security system.
This role sits at the intersection of systems programming, network security, and cloud-native infrastructure.
Help design and implement traffic inspection and prevention components that run in-line within Kubernetes clusters (as a DaemonSet, sidecar, or CNI-integrated component)
Build or contribute to protocol parsers and signature/rule-matching engines
Contribute to an AI-assisted signature generation pipeline
Work with the Linux networking stack to intercept and act on traffic with acceptable latency overhead
Help ensure the data path is efficient enough to run under the resource budgets typical of Kubernetes workloads
Collaborate with detection research and cloud security teams to translate threat intelligence into enforceable rules and behaviors
Requirements
Professional experience in Rust or C/C++ (comfort with both, or willingness to pick up the second, is a plus — not a hard requirement)
Security background - experience with developing security products - such as IPS, firewall, researcher, API security, etc
General familiarity with Kubernetes and at least one public cloud (AWS, Azure, or GCP) — production experience is preferred, but strong infrastructure/networking experience elsewhere is also welcome
Comfort working on systems/infrastructure-level software rather than purely application-level code
Hands on AI SDLC experience
Curious
Tech savvy
Good communication skills
Independent
Nice to have
Experience with DPI engines, protocol parsers, or signature-matching systems (e.g., Snort/Suricata-style rules)
Exposure to ML/AI approaches for anomaly detection, classification, or rule generation
Linux kernel/networking internals: netfilter/nftables, eBPF/XDP, TCP/IP, TLS
Kubernetes networking specifics: CNI, NetworkPolicy, service mesh data planes (Envoy/Istio)