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DevOps Engineer, AI Factory (Hybrid, Israel) – Kaltura
Build and operate reliable, GPU-powered AI infrastructure for Kaltura’s global video platform. Manage multicloud environments spanning AWS, GCP, Kubernetes, and AI serving technologies.
विवरण
- Join Kaltura’s global DevOps and Platform team to design and run distributed AI production systems at significant scale
- Lead projects from initial design through implementation and production deployment
- Design, build, and operate highly available distributed systems across AWS and GCP
- Support Kubernetes, Docker, Helm, CI/CD, automation, data, caching, and messaging infrastructure
- Unify varied technology stacks and architectures within Kaltura’s broader platform
- Develop and operate infrastructure for AI workloads, including GPU inference and model-serving platforms
- Improve system reliability through monitoring and observability practices
- Investigate complex problems across application, infrastructure, networking, operating system, and data layers
- Partner with Platform, Development, Architecture, AI/ML Research, and Product teams
- Use contemporary AI coding tools to increase engineering speed and quality
आवश्यकताएँ
- At least 2 years of hands-on DevOps, Platform, or SRE experience operating large-scale distributed production systems, with the ability to independently lead projects from conception through implementation
- At least 2 years of experience using cloud inference services and NeoClouds
- At least 2 years of hands-on experience developing and maintaining AI Factory systems with KubeFlow, Ray, or comparable technologies
- At least 2 years of practical experience with GPU inference using technologies such as vLLM, SGLang, or NVIDIA Triton
- Extensive multicloud experience across AWS, GCP, and NeoCloud providers such as RunPod, TogetherAI, and vast.ai, including Infrastructure as Code with Terraform or a comparable tool
- Advanced hands-on knowledge of Kubernetes and Helm, including Kubernetes internals, production operations, Docker, and containerized systems
- Strong command of networking and operating systems, including TCP/IP, DNS, load balancing, and Linux internals
- Substantial experience with CI/CD and automation using GitHub Actions, plus monitoring and observability with metrics, tracing, logging, Prometheus, and Grafana
- High proficiency with modern AI coding tools and a practical understanding of how to use them for meaningful productivity gains
- Familiarity with AI evaluation and observability platforms such as Opik, OpenEval, or LangSmith is a plus
लाभ
- Flexible hybrid working environment
- Extended private health insurance, including mental health coverage
- Programs supporting personal and professional development
- Occasional cross-company long weekends
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