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 אינטרנט ודיגיטל

תל אביב - יפו

חברה בתחום אינטרנט ודיגיטל

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

a global leader in performance marketing, is looking for a talented DevOps Engineer to join us on our mission to simplify decision-making for millions!
Responsibilities:
Design, own, and evolve DevOps tooling, CI/CD architecture, and infrastructure automation strategies across multi-cloud environments (AWS & GCP), supporting high-performance, resilient production systems.
Manage Kubernetes clusters (EKS, GKE) and containerized microservices at scale, leveraging Helm, IaC, and other cloud-native technologies.
Collaborate with engineering and data teams to optimize cloud-native architectures for performance, cost-efficiency, scalability, and high availability.
Automate infrastructure and pipeline workflows using Python, Bash, and Groovy, with IaC tools like Terraform and CloudFormation, and CI/CD platforms such as Jenkins and GitHub Actions.
Support data workflows and ML deployments using orchestration tools like Airflow and CI/CD for data pipelines.
Work with AI-native tooling (e.g., MCP, agent frameworks, Cursor, OpenAI, Gemini and Vertex).
Bring out-of-the-box thinking, excellent problem-solving skills, and the ability to debug complex systems.

Requirements:
3+ years of hands-on experience with AWS in production environments, with strong working knowledge of Linux-based systems for deployment, debugging, and automation.
3+ years of DevOps experience supporting production-grade systems with high availability, scalability, and operational reliability.
Strong expertise in Kubernetes-based orchestration (EKS, KOps, GKE).
Extensive experience with CI/CD tools such as Git, GitHub, Jenkins, GitHub Actions, and Nexus.
Proficiency in scripting/programming languages, including Bash, Python, or Groovy, for automating infrastructure and pipelines.
Experience with Infrastructure as Code (IaC) tools like Terraform and CloudFormation.
Experience with logging, metrics, and observability stacks, such as Datadog, Telegraf, Elasticsearch, Kibana, Prometheus, and Grafana.
Ability to troubleshoot and debug complex, distributed systems across multiple cloud environments.
Only candidates meeting the above requirements will be considered.

This position is open to all candidates.