DevOps Engineer

An innovative, fast-growing MedTech startup that has engineered a groundbreaking, FDA-approved Artificial Intelligence platform optimized for real-time surgical decision support.

Founded by a prominent synergy of elite military intelligence technology alumni and world-renowned cardiovascular medicine pioneers, the company is backed by a highly substantial Seed round and protects an active pipeline of tier-1 paying hospitals across Israel and the United States.

The company's R&D headquarters is situated inside a prominent medical center campus in the Center region (highly accessible via major highway corridors and bus lines) and operates on an in-office driven hybrid model with a designated remote work day on Tuesdays.

Position Overview-

• Sole DevOps Engineer taking complete architectural ownership and technical command over the company’s entire infrastructure ecosystem.
• Reporting directly to the VP of R&D to scale existing automation pipelines and design next-generation hybrid infrastructure frameworks from scratch.
• Architecting and maintaining a robust, secure, and compliant multi-tenant layout bridging Public Cloud platforms (AWS, GCP) with complex On-Premises medical deployments.
• Building out production-grade container orchestration layers to support low-latency inference pipelines and high-compute AI training environments.
• Serving as the ultimate infrastructure authority, enforcing high availability, rigorous data privacy standards, and zero-downtime deployment workflows.

Requirements-

• 5 years of professional experience operating as a DevOps Engineer (Mandatory).
• Strong, production-grade deployment and architecture mastery over public cloud ecosystems, specifically AWS and/or GCP (Mandatory).
• Deep practical experience designing, scaling, and managing containerized clusters utilizing Kubernetes, EKS, or GKE (Mandatory).
• Solid hands-on development and scripting experience in Linux environments using Python and Bash (Mandatory).
• Comprehensive understanding of CI/CD design patterns, Docker virtualization, an