Software Engineer, AI Security Platform (Go/Python/C++)

Check Point Software Technologies; Zürich; On-site; CHF 140,000 - 180,000; Full time

Job summary

Check Point Software Technologies is seeking engineers for the Foundations team, building and operating the platform behind AI security services. You will design high-performance gateway and orchestration components, join on-call rotations, and tackle multi-tenant GPU capacity challenges.

You will own data systems, write architectural docs, and drive scalable solutions across cloud and on-prem environments in a fast-paced, collaborative setting.

Qualifications

• Production services in Go, Python or C++.
• Profiled, load-tested, and tuned a latency-sensitive system.
• Work independently, write clearly, and take ownership of ambiguous problems.
• Care about the customer behind the metric.
• Curious about AI security.
• Hands-on: you get things done with long-term vision in mind.

Responsibilities

• Design and build the hot path: gateway, request scheduling, and orchestration, where milliseconds matter.
• Join our on-call rotation and improve how we handle incidents.
• Solve multi-tenant capacity problems on shared GPU infrastructure: isolation, admission control, and graceful degradation.
• Own and operate our data systems (ClickHouse, Postgres, Kafka), including capacity, schema, and failure modes.
• Write design docs, review architecture across teams, and help set engineering standards.
• Scale our existing software stack and algorithms to serve the most demanding use-cases.
• Help maintain the DevOps stack to continuously improve our own development practices.

Skills

Go/Python/C++

Tools

ClickHouse

Postgres

Kafka

Job description

Check Point Software Technologies is seeking engineers for the Foundations team, building and operating the platform behind AI security services. You will design high-performance gateway and orchestration components, join on-call rotations, and tackle multi-tenant GPU capacity challenges.

You will own data systems, write architectural docs, and drive scalable solutions across cloud and on-prem environments in a fast-paced, collaborative setting.