לוח משרות דרושים איש DevOps בבני ברק, לחיפוש זה נמצאו 3 משרות

Required DevOps Engineer
The role :
You will join a global DevOps & Platform team responsible for designing and operating distributed production systems at very high scale, with a relentless focus on quality, robustness, and reliability. We provide the tools to push forward product innovation and scale in the age of AI.
You will own projects end-to-end, drive new implementations forward, and act as a technical partner across the organization. Youll work closely with the Platform teams, Development teams, Architects, AI/ML Researchers, and Product, translating complex needs into resilient systems that scale.
Were looking for someone who takes ownership, who can see a problem or a need, shape the solution, and carry it all the way to production.
The day-to-day :
Lead initiatives end-to-end, from design through implementation to production rollout, owning the outcome, not just the task
Design, build, and operate highly available, distributed systems at scale on AWS and GCP, with a strong emphasis on quality and robustness
Work across the full platform stack, Kubernetes, Docker, and Helm, CI/CD and automation, and the data, caching, and messaging layers (Mongo, MySQL, Postgres, Redis, Kafka, and more)
Modernize and consolidate different stacks and architectures into our single, coherent platform
Build and operate the infrastructure behind our AI workloads, including GPU inference and the platforms that serve them
Drive system reliability, monitoring, and observability, and troubleshoot complex issues across application, infrastructure, networking, OS, and data layers
Collaborate across Platform, Development, Architects, AI/ML Researchers, and Product, and leverage modern AI coding tools to work at high velocity and quality

Required DevOps - AI Factory
The role:
You will join a global DevOps & Platform team responsible for designing and operating distributed AI production systems at very high scale, with a relentless focus on quality, robustness, and reliability. We provide us with the tools it needs to push forward product innovation and scale out the age of AI. You will own projects end-to-end, drive new implementations forward, and act as a technical partner across the organization. Youll work closely with the Platform teams,AI Labs, Development teams, Architects, AI/ML Researchers, and Product, translating complex needs into resilient systems that scale. Were looking for someone who takes ownership, who can see a problem or a need, shape the solution, and carry it all the way to production.
The day-to-day:
Lead initiatives end-to-end, from design through implementation to production rollout, owning the outcome, not just the task
Design, build, and operate highly available, distributed systems at scale on AWS and GCP, with a strong emphasis on quality and robustness
Work across the full platform stack, Kubernetes, Docker, and Helm, CI/CD and automation, and the data, caching, and messaging layers
Modernize and consolidate different stacks and architectures into our single, coherent platform
Build and operate the infrastructure behind our AI workloads, including GPU inference and the platforms that serve them
Drive system reliability, monitoring, and observability, and troubleshoot complex issues across application, infrastructure, networking, OS, and data layers
Collaborate across Platform, Development, Architects, AI/ML Researchers, and Product, and leverage modern AI coding tools to work at high velocity and quality.