MLOps Engineer (AI)

Location: Tel Aviv, Israel; on-site

Company

Cyera builds a security operating model for the AI era, helping businesses secure data, access, and models while supporting AI adoption.

What you will do

• Design, deploy, and maintain infrastructure for model serving, LLM gateways, and LLM observability across clouds, SaaS, customer-hosted, and government-cloud deployments.
• Own GPU infrastructure, including capacity planning and cost efficiency.
• Build secure private connectivity to LLM providers and between clouds.
• Monitor high-scale systems, resolve issues proactively, ensure reliability, and participate in on-call.
• Provide GPU clusters and infrastructure for research training, experimentation, batch workloads, and ML/AI features.
• Evaluate infrastructure frameworks and automate their transition from proof of concept to production while aligning with DevOps and security requirements.

Requirements

• 4+ years of experience in DevOps Engineering or Site Reliability.
• Strong experience running production infrastructure on AWS, GCP, or Azure.
• Hands-on experience with Kubernetes and Docker.
• Experience with Infrastructure as Code, such as Terraform, and CI/CD pipelines.
• Solid networking fundamentals, including load balancing, private connectivity, and protocols.
• Experience building and supporting distributed, high-scale production environments, including monitoring and logging.
• Linux and scripting skills.
• Passion for ML and AI workloads and motivation to grow in this area.
• Strong problem-solving and communication skills, with the ability to work across R&D teams.

Nice to have

• Experience running ML models or LLM-based systems in production.
• Experience with GPU workloads on Kubernetes, GPU sharing, capacity planning, and cost optimization.
• Experience with LLM serving, LLM gateways, or inference-aware load balancing.
• Experience deploying ML and research tooling, including experiment tracking and LLM observability.
• Experience with distributed compute frameworks for large-scale inference.
• Knowledge of vector databases, embeddings, or retrieval pipelines.
• Experience with customer-hosted or government-cloud deployments.
• Familiarity with SOC2 or ISO 27001 requirements.

Culture & Benefits

• Full-time, on-site work in Tel Aviv.
• Collaborative, inclusive, supportive, innovative, and agile culture.
• Opportunities for personal and professional growth.
• Applications are welcomed from candidates whose experience does not cover every requirement.