Вакансии: Разработка

Join a cybersecurity software company as a Senior DevOps Engineer responsible for cloud infrastructure, reliability, deployment automation, and developer productivity across multiple SaaS products. This is a hybrid role in Israel.

Join an advanced engineering team developing and integrating operational navigation systems. The role covers algorithm research, system design, implementation, testing, experimentation, and performance analysis.

A broadband technology company is seeking a Senior DevOps Engineer for its Caesarea office. The role is hybrid, with at least three office days per week, and focuses on infrastructure automation, cloud-native platforms, and software delivery systems.

A full-time Field Application Engineer role supporting engineering customers across Israel with FPGA, SoC, and embedded system design. The position combines technical consulting, customer engagement, and commercial support throughout the design cycle.

Lead the mechanical domain for depth-camera and biometric vision products, from concept and industrial design through detailed engineering, prototyping, validation, and production handoff.

Build and own production LLM agents, automation pipelines, integrations, and internal AI infrastructure for a security platform. Translate ambiguous business needs into reliable technical solutions, improve production performance, and drive adoption across the organization.

An energy technology company is hiring an Embedded Software Engineer to develop user-space applications for next-generation power electronics. The role covers low-level and system-level development in a multidisciplinary engineering environment.

Join an AI security and governance company in Tel Aviv. You will own key frontend initiatives, shape technical standards, and turn complex security data into clear, usable product experiences.

Join an engineering team developing core software libraries for advanced computer vision systems. The role focuses on real-time and mathematical software, cross-platform development, and complex system-level challenges.

Join an enterprise data science team building and operating production-grade machine learning and LLM systems. Own scalable model serving, MLOps and LLMOps standards, evaluation, observability, experimentation environments, and the cloud foundations supporting AI applications.