Senior AI Infrastructure Engineer

CyberArk is looking for an AI Infrastructure Engineer to support new and existing infrastructure enabling the company-wide 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 self-service low/no 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 AI/ML model creation including development testing deployment and monitoring. They should have experience in the full lifecycle of AI/ML 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 self-service low/no code and enterprise solutions. It consists of development in support of internal tools infrastructure for testing and development and enterprise technology support for CI/CD 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 non-developers to deliver value by providing robust infrastructure solutions. 
• Ensure infrastructure is self-service and supports both standard development and low/no code solutions 
• Develop and maintain infrastructure for development testing/staging and production 
• Support enterprise technology for CI/CD DevOps and orchestration 
• Deploy monitor and maintain ML/AI models 
• Lead/facilitate Agile ceremonies (standup sprint planning retrospective) 
• Proactively maintain infrastructure to prevent issues before they arise 

#LI-EB1

Qualifications :

• Experience with production infrastructure 
• Experience with DevOps CI/CD 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 

AI-Specific Skills: 

• Experience with machine learning frameworks (TensorFlow PyTorch or Keras) 
• Knowledge of AI model deployment and scaling 
• Experience with AI/ML lifecycle management and MLOps practices/tools  
• 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 theres a high chance that youd 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 end-to-end with solutions early in order to de-risk 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 $94000 $130000/year plus commissions or discretionary bonus which will be based on the employees performance. Base pay may also vary considerably depending on job-related knowledge skills and experience. The compensation package includes a wide range of medical dental vision financial and other benefits. 
 

Remote Work :

Yes

Employment Type :

Full-time