GenAI Group DevOps Engineer
Elbit Systems Israel · Haifa District, Israel
- On site
- Full-time
- ₪180,000 / year
- Haifa District, Israel
Job highlights
- Build and scale GenAI platforms.
- Lead DevOps for AI transformation.
- Manage CI/CD pipelines.
- Operate containerized workloads.
- Ensure AI service reliability.
About the role
GenAI DevOps Engineer at Elbit Systems Israel
Elbit Systems is seeking a skilled and motivated DevOps Engineer with a strong passion for GenAI to join their Enterprise GenAI Group in Haifa. This role is crucial for building, operating, and scaling the organization's GenAI platform.
Key Responsibilities
- Lead DevOps practices within the GenAI domain, collaborating with AI engineers, software engineers, infrastructure teams, and cybersecurity to transform GenAI capabilities from experimentation into scalable, production-grade enterprise services.
- Design, build, and maintain CI/CD pipelines for GenAI services, agents, and platforms using tools such as GitLab CI and GitHub Actions.
- Operate and scale containerized GenAI workloads across cloud environments (Azure and AWS).
- Ensure high availability, reliability, observability, and performance of AI services.
- Manage infrastructure as code using tools such as Terraform or Pulumi for repeatable, version-controlled environment provisioning.
- Collaborate with AI engineers to enable safe, repeatable, and governed deployment of GenAI platforms and solutions.
- Support the full lifecycle of GenAI solutions from development and experimentation to production deployment.
- Implement monitoring, logging, versioning, and rollback mechanisms for GenAI solutions, MCPs, agents, and pipelines.
- Support deployment and operation of LLM serving infrastructure (e.g., vLLM, Ollama, TGI) including GPU workload scheduling and resource management.
- Promote DevOps best practices, automation, documentation, and a culture of ownership.
- Participate in cross-organizational initiatives supporting large-scale GenAI adoption.
- Produce and maintain technical documentation including runbooks, architecture diagrams, and operational playbooks.
Requirements
- At least 3 years of hands-on experience as a DevOps Engineer.
- Strong 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 systems.
- Hands-on experience with Infrastructure as Code (Terraform, Pulumi, or equivalent).
- Experience with Vector Databases (ElasticSearch, Weaviate, pgvector) in a RAG or GenAI pipeline context is an advantage.
- Experience supporting AI/ML/GenAI systems in production is an advantage.
- Experience with cloud platforms (Azure) and hybrid/on-prem environments is an advantage.
- Familiarity with monitoring, logging, and observability tools is an advantage.
- Experience working in regulated, security-sensitive enterprise environments is an advantage.
- Strong sense of ownership, problem-solving skills, and ability to work independently.
Key skills/competency
- GenAI
- DevOps
- CI/CD
- Kubernetes
- Docker
- Terraform
- Python
- Cloud Platforms
- AI/ML
- Production Deployment
Skills & topics
- GenAI
- DevOps
- AI Engineer
- Machine Learning
- Cloud Engineering
- CI/CD
- Kubernetes
- Docker
- Terraform
- Python
- Azure
- AWS
- LLM
- RAG
- Observability
- Site Reliability Engineering
How to get hired
- Tailor your resume: Highlight your GenAI, DevOps, CI/CD, Kubernetes, and IaC experience.
- Showcase relevant projects: Detail your contributions to AI/ML systems or production deployments.
- Demonstrate scripting skills: Emphasize your Python proficiency and Linux environment expertise.
- Research Elbit Systems: Understand their enterprise focus and security-sensitive environment.
- Prepare for technical questions: Be ready to discuss containerization, orchestration, and cloud platforms.
Technical preparation
Master Docker and Kubernetes.,Practice Terraform for IaC.,Build complex CI/CD pipelines.,Script extensively in Python.
Behavioral questions
Describe a complex deployment challenge.,How do you ensure system reliability?,Detail a time you collaborated with AI engineers.,How do you handle production incidents?
Frequently asked questions
- What specific GenAI technologies will I be working with as a GenAI DevOps Engineer at Elbit Systems Israel?
- As a GenAI DevOps Engineer at Elbit Systems Israel, you will work with technologies such as vLLM, Ollama, TGI for LLM serving infrastructure, and Vector Databases like ElasticSearch, Weaviate, or pgvector within RAG or GenAI pipelines. Your role involves managing these systems within Azure and AWS cloud environments, leveraging tools like Docker, Kubernetes, Terraform, GitLab CI, and GitHub Actions.
- What are the primary responsibilities of a GenAI DevOps Engineer at Elbit Systems Israel?
- The primary responsibilities include designing, building, and maintaining CI/CD pipelines for GenAI services, operating and scaling containerized GenAI workloads, ensuring high availability and performance of AI services, and managing infrastructure as code. You will also collaborate with AI engineers for safe deployment, support the full lifecycle of GenAI solutions, and implement monitoring, logging, and rollback mechanisms.
- What kind of experience is considered an advantage for the GenAI DevOps Engineer role at Elbit Systems Israel?
- Experience with Vector Databases in a RAG or GenAI pipeline context, supporting AI/ML/GenAI systems in production, working with cloud platforms like Azure and hybrid/on-prem environments, familiarity with monitoring/logging/observability tools, and experience in regulated, security-sensitive enterprise environments are all considered advantageous for this role.
- How does Elbit Systems Israel ensure the security and compliance of its GenAI platforms?
- Elbit Systems Israel emphasizes experience working in regulated, security-sensitive enterprise environments. As a GenAI DevOps Engineer, you will play a role in enabling safe, repeatable, and governed deployment of GenAI platforms and solutions, indicating a strong focus on security and compliance throughout the development and deployment lifecycle.
- What is the typical career progression for a GenAI DevOps Engineer at Elbit Systems Israel?
- While specific career paths can vary, a GenAI DevOps Engineer at Elbit Systems Israel is positioned to grow within the expanding field of AI and MLOps. Opportunities may include specializing in AI infrastructure, cloud architecture, security, or moving into lead or architect roles within the Enterprise GenAI Group or broader technology divisions.