- מיקום
- צפון
- היקף משרה
- משרה מלאה
- תפקיד
- מהנדס/ת DevOps
תיאור המשרה
We are looking forA 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 platformYou 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 servicesCome 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
In this role you willDesign, build, and maintain CI/CD pipelines for GenAI services, agents, and platforms using tools such as GitLab CI and GitHub ActionsOperate and scale containerized GenAI workloads across cloud environments (Azure and AWS)Ensure high availability, reliability, observability, and performance of AI servicesManage infrastructure as code using tools such as Terraform or Pulumi to enable repeatable, version-controlled environment provisioningCollaborate with AI engineers to enable safe, repeatable, and governed deployment of GenAI platforms and solutionsSupport the full lifecycle of GenAI solutions from development and experimentation to production deploymentImplement monitoring, logging, versioning, and rollback mechanisms for GenAI solutions, MCPs, agents, and pipelinesSupport deployment and operation of LLM serving infrastructure (e.g., vLLM, Ollama, TGI) including GPU workload scheduling and resource managementPromote DevOps best practices, automation, documentation, and a culture of ownershipParticipate in cross-organizational initiatives supporting large-scale GenAI adoptionProduce and maintain technical documentation including runbooks, architecture diagrams, and operational playbooks
RequirementsAt least 3 years of hands-on experience as a DevOps EngineerStrong experience with Linux environments and scripting (Python preferred)Hands-on experience with containerization and orchestration (Docker, Kubernetes)Experience designing and operating CI/CD pipelines for production systemsHands-on experience with Infrastructure as Code (Terraform, Pulumi, or equivalent)Experience with Vector Databases (ElasticSearch, Weaviate, pgvector) in a RAG or GenAI pipeline context - advantageExperience supporting AI/ML/GenAI systems in production - advantageExperience with cloud platforms (Azure) and hybrid/on-prem environments - advantageFamiliarity with monitoring, logging, and observability tools - advantageExperience working in regulated, security-sensitive enterprise environments - advantageStrong sense of ownership, problem-solving skills, and ability to work independently
Only relevant applications will be answered*#Haifa
In this role you willDesign, build, and maintain CI/CD pipelines for GenAI services, agents, and platforms using tools such as GitLab CI and GitHub ActionsOperate and scale containerized GenAI workloads across cloud environments (Azure and AWS)Ensure high availability, reliability, observability, and performance of AI servicesManage infrastructure as code using tools such as Terraform or Pulumi to enable repeatable, version-controlled environment provisioningCollaborate with AI engineers to enable safe, repeatable, and governed deployment of GenAI platforms and solutionsSupport the full lifecycle of GenAI solutions from development and experimentation to production deploymentImplement monitoring, logging, versioning, and rollback mechanisms for GenAI solutions, MCPs, agents, and pipelinesSupport deployment and operation of LLM serving infrastructure (e.g., vLLM, Ollama, TGI) including GPU workload scheduling and resource managementPromote DevOps best practices, automation, documentation, and a culture of ownershipParticipate in cross-organizational initiatives supporting large-scale GenAI adoptionProduce and maintain technical documentation including runbooks, architecture diagrams, and operational playbooks
RequirementsAt least 3 years of hands-on experience as a DevOps EngineerStrong experience with Linux environments and scripting (Python preferred)Hands-on experience with containerization and orchestration (Docker, Kubernetes)Experience designing and operating CI/CD pipelines for production systemsHands-on experience with Infrastructure as Code (Terraform, Pulumi, or equivalent)Experience with Vector Databases (ElasticSearch, Weaviate, pgvector) in a RAG or GenAI pipeline context - advantageExperience supporting AI/ML/GenAI systems in production - advantageExperience with cloud platforms (Azure) and hybrid/on-prem environments - advantageFamiliarity with monitoring, logging, and observability tools - advantageExperience working in regulated, security-sensitive enterprise environments - advantageStrong sense of ownership, problem-solving skills, and ability to work independently
Only relevant applications will be answered*#Haifa
