Software Engineer - Foundations

Check-Point-Software-Technologies-2; Zürich; On-site; CHF 120,000 - 180,000; Full time

Job summary

Check Point Software Technologies is seeking a senior engineer to join the Foundations team in Zurich. You will build and run production services in Go, Python, or C++, focusing on latency-sensitive paths and scalable infrastructure.

You’ll participate in on-call rotations, optimize multi-tenant GPU capacity, and own data systems like ClickHouse and Kafka, ensuring reliability and rapid delivery while aligning with AI security goals.

Qualifications

• Production services in Go, Python, or C++.
• Latency-sensitive systems profiling and tuning.
• Independence, clear communication, and ownership mindset.
• Customer-focused with an interest in AI security.

Responsibilities

• Design and build the hot path: gateway, request scheduling, and orchestration.
• Join our on-call rotation and improve incident handling.
• Solve multi-tenant capacity issues on GPU infrastructure with isolation and admission control.
• Own and operate data systems (ClickHouse, Postgres, Kafka) including capacity and schema.
• Write design docs, review architectures, and help set engineering standards.
• Scale software and algorithms to support demanding use-cases and reliability.

Skills

Go

Python

C++

Latency optimization

Job description

Company Description

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

Job Description

The Foundations team builds and runs the platform that every other engineering team at Check Point AI Security ships on. We combine software engineering with SRE and infrastructure work: our engineers develop the services behind high-quality, low-latency serving, and we own the infrastructure and operations beneath them, protecting our service level objectives (SLOs) in production. The result is that product teams can ship, run, and scale with confidence, without needing to think about infrastructure, reliability, or operations.

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

Qualifications

About you:

• You’ve built and run production services in Go, Python, or C++
• You’ve profiled, load-tested, and tuned a latency-sensitive system
• You work independently, write clearly, and take ownership of ambiguous problems
• You care about the customer behind the metric
• You're curious about AI security
• You're pragmatic and hands-on: you get things done and keep our long-term vision in mind

Nice to have:

• Experience serving models on GPUs
• You’ve operated at least one stateful data system in production
• Experience running services across more than one cloud
• Open-source contributions