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

פתח תקווה

חברה בתחום הייטק / חומרה / תוכנה / סייבר

פתח תקווה
מלאה
20,000-30,000 ₪ הערכה מבוססת AI ולא שכר שהתקבל מהמעסיק
הערכה מבוססת AI ולא שכר של המעסיק

We are looking for a Senior DevOps Engineer to join our DevOps team. In this role, you will take ownership of the production environment, lead strategic operational processes, and partner closely with R&D teams to drive reliability, scalability, and automation across the organization. You will be responsible for designing, building, and evolving our infrastructure and automation solutions, with a strong emphasis on modern DevOps best practices.
Responsibilities
Own and maintain a mature, stable, and secure production environment
Collaborate with cross-functional engineering teams to support development and delivery processes
Design and implement best-practice CI/CD solutions, especially for microservices architectures
Maintain, upgrade, and take end-to-end ownership of Kubernetes clusters (EKS)
Build, manage, and optimize the companys cloud infrastructure.

Requirements:
6+ years of experience as a DevOps engineer (strong infrastructure background required)
Deep hands-on experience with AWS services (RDS, VPC, Lambda, S3, CloudWatch, networking, etc.)
3+ years of production experience with Kubernetes, specifically EKS
Strong experience with network infrastructure, Linux, firewalls, DNS, CDN tools
Experience with configuration management tools (e.g., Ansible)
Proven ability to create and maintain CI/CD pipelines
Experience with Infrastructure as Code (preferably Terraform)
Database knowledge: SQL, RDS
Coding/scripting skills: Python, PowerShell, Shell- Advantages
Experience in any of the following is a strong plus:
Leveraging AI tools to improve DevOps workflows, observability, and engineering productivity
Building self-service capabilities and internal developer platforms
Designing and implementing workflows involving AI agents, including automation, monitoring, and incident response use cases.

This position is open to all candidates.