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<p>We are looking for</p> <p>A skilled and motivated DevOps Engineer with a strong passion for GenAI, to join Elbit's Enterprise GenAI Group at our Haifa site and play a key role in building, operating, and scaling the organization's GenAI platform</p> <p>You will lead DevOps practices within the GenAI domain, working closely with AI engineers, software engineers, infrastructure teams, and cybersecurity to transform GenAI capabilities from experimentation into scalable, production-grade enterprise services</p> <p>Come be the DevOps enabler of our AI transformation - responsible for the foundations that allow GenAI solutions to be reliably developed, deployed, monitored, and adopted across the company</p> <p>In this role you will</p> <p>Design, build, and maintain CI/CD pipelines for GenAI services, agents, and platforms using tools such as GitLab CI and GitHub Actions</p> <p>Operate and scale containerized GenAI workloads across cloud environments (Azure and AWS)</p> <p>Ensure high availability, reliability, observability, and performance of AI services</p> <p>Manage infrastructure as code using tools such as Terraform or Pulumi to enable repeatable, version-controlled environment provisioning</p> <p>Collaborate with AI engineers to enable safe, repeatable, and governed deployment of GenAI platforms and solutions</p> <p>Support the full lifecycle of GenAI solutions from development and experimentation to production deployment</p> <p>Implement monitoring, logging, versioning, and rollback mechanisms for GenAI solutions, MCPs, agents, and pipelines</p> <p>Support deployment and operation of LLM serving infrastructure (e.g., vLLM, Ollama, TGI) including GPU workload scheduling and resource management</p> <p>Promote DevOps best practices, automation, documentation, and a culture of ownership</p> <p>Participate in cross-organizational initiatives supporting large-scale GenAI adoption</p> <p>Produce and maintain technical documentation including runbooks, architecture diagrams, and operational playbooks</p> <p>Requirements</p> <p>At least 3 years of hands-on experience as a DevOps Engineer</p> <p>Strong experience with Linux environments and scripting (Python preferred)</p> <p>Hands-on experience with containerization and orchestration (Docker, Kubernetes)</p> <p>Experience designing and operating CI/CD pipelines for production systems</p> <p>Hands-on experience with Infrastructure as Code (Terraform, Pulumi, or equivalent)</p> <p>Experience with Vector Databases (ElasticSearch, Weaviate, pgvector) in a RAG or GenAI pipeline context - advantage</p> <p>Experience supporting AI/ML/GenAI systems in production - advantage</p> <p>Experience with cloud platforms (Azure) and hybrid/on-prem environments - advantage</p> <p>Familiarity with monitoring, logging, and observability tools - advantage</p> <p>Experience working in regulated, security-sensitive enterprise environments - advantage</p> <p>Strong sense of ownership, problem-solving skills, and ability to work independently</p> <p>Only relevant applications will be answered*</p> <p>#Haifa</p>
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