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Join a multidisciplinary systems team in the defense sector, developing automated tests for integrated software and hardware systems.

Join an internal engineering team developing tools for next-generation CPU validation. This part-time, on-site internship is based in Haifa, Israel, and is intended for Computer Science or Software Engineering students.

Lead technical research and end-to-end delivery for applied data science projects at a healthcare AI company. Own modeling strategy, client delivery, GenAI workflows, and reusable team tooling while remaining a hands-on senior individual contributor.

Join an automotive technology team developing robust production systems that bridge machine learning research and scalable deployment. The role focuses on Python-based infrastructure, inference pipelines, and modern MLOps practices.

Lead and develop a team responsible for DevOps and infrastructure engineering, including scalable production systems, Kubernetes platforms, development and production infrastructure, and self-hosted AI environments.

Lead and develop a DevOps engineering team responsible for scaling a cloud-native SaaS security platform across AWS, Azure, and GCP. Own reliability, automation, observability, deployment processes, and production operations at scale.

A professional services organization is seeking a mid-senior Identity Infrastructure Specialist to manage identity, server, and cloud infrastructure in mission-critical enterprise environments.

EasySend is seeking a Senior DevOps Engineer in Tel Aviv-Yafo to advance deployment, monitoring, cloud infrastructure, and development operations across the company.

Support and improve cloud infrastructure, operating systems, middleware, production environments, and enterprise technology services. The role focuses on system reliability, security maintenance, incident resolution, automation, and disaster recovery while partnering with engineering teams and third

Develop advanced generative AI solutions powered by large language models and open-source models. Work with product, engineering, and UX teams to build reliable AI capabilities throughout the product lifecycle.