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AI DevOPS Engineer 2633

Shabak - Israeli Security Agency - CareerCenter District, IsraelNot specifiedFull-timeSeniority: Not specified

Posted yesterday · 0 applicants

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The role in plain words

Must-have
  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field (or equivalent 5 years experience)
  • 3 to 5 years of experience in DevOps or similar roles
  • Practical experience with local AI models, Harness, MCP, and multi-agent systems on large projects
  • Proficiency in Python
  • Docker
Nice-to-have

    Extracted from the job description · kept up to date automatically

    Who this suits

    Full job description

    Original listing · kept for reference

    We are seeking a talented AI Specialist in DevOps to lead the integration of artificial intelligence (AI) and machine learning (ML) technologies into our development, research, testing, and overall software systems. The ideal candidate will possess a deep understanding of DevOps principles, coupled with hands- on experience in implementing AI models for code generation, automation, monitoring, and other critical functions.

    In this role, you will design and establish robust infrastructure to support multiple development teams operating across diverse domains, technologies, and environments. We expect initiative, independent problem-solving, and innovative thinking to drive AI-driven solutions that enhance our software development lifecycle.

    Requirements:

    · Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field, with 3 years of experience in DevOps or similar roles.

    · 5 years of experience in DevOps or similar roles.

    · Mandatory AI experience- setting up local AI models, working with Harness, using tools, MCP, and more practical experience in agent-based work on large projects: skills, tools, multi-agents.

    · Proficiency in multiple programming languages (at least Python).

    · Experience with DevOps tools: Docker, Kubernetes, Jenkins, Git.

    · Deep understanding of language models and agents: context management, multi-agent systems, etc.

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