DevOps Engineer

7 hours ago

Netanya Center District, Israel entrypoint Full time ₪120,000 - ₪240,000 per year

Senior DevOps Engineer

A leading international high-tech company specializing in AI solutions is seeking an experienced and innovative Senior DevOps Engineer with strong capabilities in large-scale cloud environments. The role includes responsibility for building advanced automation infrastructures, managing extensive cloud environments, and continuously improving development and deployment processes that support resource-intensive and data-driven AI systems.

Core Responsibilities:

  • Designing, building, and maintaining large-scale CI/CD infrastructures for algorithm, model, and AI system development teams.
  • Managing IaC-based infrastructure using Terraform as part of automated provisioning processes.
  • Ongoing work with large cloud environments optimized for model training, system execution, and intelligent deployments, including load management, auto-scaling, and high availability capabilities.
  • Supporting development, data, and MLOps teams to enhance performance, shorten development cycles, and ensure system stability.
  • Continuous improvement of security processes, monitoring, and alerting in complex production environments.
  • Leading cross-organizational DevOps projects, including designing cloud architectures for resource-intensive AI applications.

Mandatory Requirements:

  • At least 8 years of experience in DevOps, specializing in cloud infrastructure and advanced automation.
  • Deep knowledge of IaC tools with full proficiency in Terraform.
  • Experience managing large-scale cloud infrastructures, with strong understanding of networking, security, scalability, and observability.
  • Proven experience working with Linux environments and scripting in Bash or Python.
  • Significant experience implementing CI/CD using modern industry-standard tools.
  • Hands-on experience with Azure and building complex cloud infrastructures in this environment.
  • Experience in MLOps, containers, and Kubernetes, including managing model execution environments.

Strong Advantage:

  • Background working with data-intensive AI systems, Big Data infrastructures, or Machine Learning pipelines.

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