Senior AI Infrastructure Engineer

CyberArk is looking for an AI Infrastructure Engineer to support new and existing infrastructure enabling the companywide transformation program aimed at transforming how we work using AI, automation, and data.

You will be responsible for the deployment and maintenance of internal AI infrastructure to enable “selfservice”, lowno code and enterprise solutions as part of the transformation. You will be working with the Director, AI Technologies and the wider initiative technology and business team to ensure AI infrastructure availability for all users throughout CyberArk

The ideal candidate will have a deep understanding of the full lifecycle of AIML model creation including development, testing, deployment, and monitoring. They should have experience in the full lifecycle of AIML Model deployment, monitoring and maintenance

About the Team:

The team provides support to the entire Transforming Our Work initiative by building, automating and maintaining internal infrastructure in a manner that enables “selfservice”, lowno code and enterprise solutions. It consists of development in support of internal tools, infrastructure for testing and development and enterprise technology support for CICD, DevOps and orchestration.

We are currently looking for an AI Infrastructure Engineer to join us in our work to enable data scientists, data engineers and developers to deliver value.

Responsibilities:

• Enable developers and nondevelopers to deliver value by providing robust infrastructure solutions.
• Ensure infrastructure is selfservice and supports both standard development and lowno code solutions
• Develop and maintain infrastructure for development, testingstaging and production
• Support enterprise technology for CICD, DevOps, and orchestration
• Deploy, monitor and maintain MLAI models
• Leadfacilitate Agile ceremonies (standup, sprint planning, retrospective)
• Proactively maintain infrastructure to prevent issues before they arise

• #LIEB1

  Qualifications

  • Experience with production infrastructure
  • Experience with DevOps, CICD and orchestration tooling (Ansible, Terraform, Puppet, Jenkins, GitLab, Azure DevOps)
  • Experience in container technologies (Docker, Podman, Kubernetes, OpenShift, Cloud Foundry)
  • Experience with cloud computing providers (AWS, Azure, GCP etc.)
  • Experience with Agile development methodologies (Scrum, Kanban)
  • Excellent communication, documentation and interpersonal skills required

  • AISpecific Skills:

    • Experience with machine learning frameworks (TensorFlow, PyTorch, or Keras)
    • Knowledge of AI model deployment and scaling
    • Experience with AIML lifecycle management and MLOps practicestools
    • Familiarity with AI infrastructure tools and platforms (Kubeflow, MLflow, or Azure Machine Learning)
    • Understanding of data engineering principles and experience with data pipelines.

    • If several of the following apply to you, there’s a high chance that you’d be a fit for our team:

      • You care about best practices and what it takes to write and maintain great code.
      • You care about managing technical debt
      • You get endtoend with solutions early in order to derisk them
      • Feedback loops – especially with real customers who use what you create – are a highly valued asset
      • You love to quickly adopt new tools and languages
      • You have an interest in the DevOps landscape

      • Additional Information

        CyberArk is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

        We are unable to sponsor or take over sponsorship of employment Visa at this time.

        The salary range for this position is $94,000 – $130,000year, plus commissions or discretionary bonus, which will be based on the employee’s performance. Base pay may also vary considerably depending on jobrelated knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits.