Вакансии: DevOps & SRE — Израиль

Lead a team of DevOps engineers while designing and building AWS environments and cloud infrastructure for customers ranging from startups to large enterprises. Work with customer technology leaders, contribute to pre-sales, and guide AI infrastructure adoption.

Build and maintain AWS cloud infrastructure and DevOps processes across customer projects. Collaborate with development, QA, and security teams, and contribute to infrastructure for AI projects.

Secure development and cloud operations for a healthcare technology platform. Work with engineering teams to strengthen CI/CD, govern AI coding tools, and improve security monitoring. The Tel Aviv team works in a flexible hybrid model.

Join a global platform team building and operating distributed AI production systems. Own platform initiatives end to end, from design through implementation and production rollout, working with engineering, research, architecture, and product teams.

Join a growing healthcare technology team to design, build, and maintain robust infrastructure and services. Work with engineers, data scientists, and other stakeholders to improve system scalability, reliability, and engineering efficiency.

Join a team supporting and improving cloud and on-prem infrastructure, CI/CD and release processes, automation, monitoring, and production reliability.

Join a semiconductor IP company’s software team to build and maintain data services, pipelines, database tooling, and engineering automation supporting its evaluation platform and customer delivery workflows.

Join an engineering team building and operating a cloud-native financial software platform. Own scalable infrastructure, deployment workflows, and production reliability while supporting cloud transformation and AI services.

Own infrastructure, reliability, security, and cost for a high-scale mobile gaming platform. Reporting to the CTO, you will shape the platform and establish standards that help engineers and AI agents deploy safely.

Own the infrastructure, delivery, security, and reliability lifecycle for an AI observability platform deployed in SaaS and customer-managed environments.