Software Engineer - FoundationsFull-timeReferral Category: Standard PositionCP Department: AI Agent SecurityOffice Location: Hardturmstrasse, Zurich, SwitzerlandCareer site Category: R&DCompany DescriptionAt 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 itJob DescriptionThe 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.ResponsibilitiesDesign and build the hot path: gateway, request scheduling, and orchestration, where milliseconds matterJoin our on-call rotation and improve how we handle incidentsSolve multi-tenant capacity problems on shared GPU infrastructure: isolation, admission control, and graceful degradationOwn and operate our data systems (ClickHouse, Postgres, Kafka), including capacity, schema, and failure modesWrite design docs, review architecture across teams, and help set engineering standardsScale our existing software stack and algorithms to serve the most demanding use-casesHelp maintain the DevOps stack to continuously improve our own development practicesQualificationsAbout you:You’ve built and run production services in Go, Python, or C++You’ve profiled, load-tested, and tuned a latency-sensitive systemYou work independently, write clearly, and take ownership of ambiguous problemsYou care about the customer behind the metricYou’re curious about AI securityYou’re pragmatic and hands-on: you get things done and keep our long-term vision in mindNice to have:Experience serving models on GPUsYou’ve operated at least one stateful data system in productionExperience running services across more than one cloudOpen-source contributionsBy clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy applyI'm interestedI'm interestedPrivacy NoticeImprint
