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 כללי

תל אביב - יפו

חברה בתחום כללי

תל אביב - יפו
מלאה
22,000-32,000 ₪ הערכה מבוססת AI ולא שכר שהתקבל מהמעסיק
הערכה מבוססת AI ולא שכר של המעסיק

We are looking for a senior-level engineer who is deeply fluent in modern cloud-native technologies and can leverage them to design, build, and continuously improve the systems that power Identity Protection products. This role is open in Tel Aviv, Israel.

What You'll Do:

Design and implement new services and integrations across a hybrid environment - primarily AWS and an on-premises data center, with additional presence on GCP and OCI - leveraging shared platforms such as Kubernetes, Kafka, and modern monitoring stacks.

Build and maintain CI/CD pipelines (Jenkins) and configuration management workflows using Chef and related tooling.

Write automation, tooling, and glue logic in Bash and Python to reduce toil and accelerate delivery.

Utilize AI and automation platforms (e.g., Claude, n8n) to drive engineering efficiency and intelligent operations.

Contribute architectural insight to platform decisions - understanding system trade-offs and designing for scale and reliability.

Participate in on-call rotations and incident response for production Identity Protection services

Requirements:
Deep knowledge and hands-on experience with Linux-based systems, including administration, performance tuning, and troubleshooting in production environments.

Deep familiarity with Kubernetes - enough to design workloads, debug failures, and make informed architectural decisions.

Strong understanding of distributed messaging systems (Kafka and/or RabbitMQ)

Deep experience with MongoDB (or comparable NoSQL): schema design, query optimization, index tuning, maintenance operations, and understanding of internals - working closely with the data layer.

Proficiency with Docker and containerized application design.

Working knowledge of observability tooling - Prometheus, Grafana, and centralized logging stacks - and the ability to instrument and interpret systems using them.

Solid scripting in Bash and Python; comfortable writing production-grade automation.

Experience with configuration management tools, Chef preferred.

Ability to reason at the architectural level: understand big-picture system design and communicate trade-offs clearly.

On-call availability on a rotational basis.

Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

This position is open to all candidates.