עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!

במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.

מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

חברה בתחום הייטק / חומרה / תוכנה / סייבר

אשקלון

חברה בתחום הייטק / חומרה / תוכנה / סייבר

אשקלון
מלאה
35,000-50,000 ₪ (הערכה מבוססת AI)
הערכה מבוססת AI ולא שכר של המעסיק

e are looking for a talented Cloud & AI Platform Architect.
We are looking for one architect to own both layers. Your foundation is deep platform and DevOps architecture: reliability, scalability, security, and cost efficiency of the cloud platform every R&D team builds on. Your growth edge is the AI layer: designing how agents are orchestrated, how they access tools and data safely, how we evaluate whether they work, and how we govern their cost and behavior in production.
We know agentic AI is a young discipline. We are not looking for a decade of AI experience that does not exist. We are looking for a proven platform architect who has spent the last one to two years genuinely building LLM-based and agentic systems in production, and who wants to own where this field goes inside a company that takes it seriously.

Requirements:
Experience: 8+ years in platform/infrastructure engineering, DevOps, or systems architecture, with proven ownership of enterprise-scale platform decisions.
Containers & Orchestration: Deep production expertise with Kubernetes (GKE strongly preferred), container runtime, and Service Mesh technologies.
IaC & GitOps: Hands-on mastery of Infrastructure as Code using Terraform or Pulumi, along with GitOps practices via ArgoCD.
Cloud Platform Depth: Strong GCP architecture depth-networking, IAM, Workload Identity, and cloud cost management.
Production LLM / Agentic Systems: 1-2+ years of hands-on experience building LLM-based or agentic systems that have reached production-agent frameworks, tool/function calling, and shipped Retrieval-Augmented Generation (RAG) systems (not just tutorials or prototypes).
Reliability Track Record: A proven track record of measurable reliability and cost outcomes (e.g., uptime improvements, MTTR reduction, and cloud spend optimization).
Streaming Data: Solid experience with Apache Kafka or comparable streaming platforms at scale.
Soft Skills: Ability to lead through influence, mentor engineering teams, and communicate complex architectural trade-offs clearly to both engineers and executives.

This position is open to all candidates.