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The role in plain words
This role involves building and maintaining CI/CD pipelines, ML workflows, and deployment environments to support R&D teams. Day-to-day tasks include integrating Python applications and Dockerized services, automating data pipelines, and providing infrastructure and server support. The position is based in Haifa on a full-time basis.
- 5+ years of experience as a DevOps Engineer
- Experience with Linux
- Experience with Docker
- Experience with Kubernetes
- Proficiency in Python scripting and debugging
Extracted from the job description · kept up to date automatically
Who this suits
This role suits experienced DevOps professionals with over five years of experience who have strong skills in Linux, Docker, Kubernetes, and Python scripting. It is less ideal for those without familiarity with Azure, CI/CD tools, or machine learning workflows.
Full job description
Original listing · kept for referenceabra R&D is seeking for a DevOps Engineer. We are looking for a hands-on DevOps Engineer to support R&D teams by developing and maintaining ML infrastructure, automation pipelines, and deployment environments. Key Responsibilities: • Build and maintain CI/CD pipelines (GitLab, ClearML) and ML workflows • Integrate Python applications, ML models, and Dockerized services into internal systems • Automate data and model pipelines between CVAT, Daita, GitLab, and ClearML • Provide infrastructure and server support, including installations and troubleshooting • Collaborate with engineers to debug issues and streamline development environments Full-time job in Haifa
Requirements: • 5+ years of experience as a DevOps Engineer • Experience with Linux , Docker , and Kubernetes • Proficiency in Python scripting and debugging • Familiarity with Azure , CI/CD tools , and ClearML • Understanding of ML workflows and data pipelines • Strong problem-solving skills and service-oriented mindset
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- On-site
- 5+ years of experience as a DevOps Engineer, Experience with Linux, Experience with Docker, Experience with Kubernetes, Proficiency in Python scripting and debugging