Senior Software Engineer - Data and ML Engineering group

Company Description

About CyberArk

CyberArk, a Palo Alto Networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. CyberArk’s AI-powered Identity Security Platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. With Identity Security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, IT, developers and machines, to securely access any resource, located anywhere, from everywhere. Learn more at cyberark.com.

Copyright © 2026 CyberArk Software. All Rights Reserved. All other brand names, product names, or trademarks belong to their respective holders.

Job Description

W are looking for an experienced and highly motivated Senior Software Engineer with high professional skills to join our AI and Data Solutions unit. Spearhead the development of Data and ML Frameworks; Responsible for our Data and ML CI/CD and Governance processes.

In this role you will be using AWS serverless architecture, AWS CDK, and Python to design, develop, test, secure & deploy services from planning to production.

The team works closely with Data Scientists, Data Analytics, Data Engineers, security architects, product managers and other development teams. Together we produce complex and advanced data/ML platforms that meet the highest security standards and best practices to data experts.

We are looking forward to an energetic and versatile person to join our family and help us achieve our goals.

Qualifications

• 5+ years of hands-on experience in Python development
• 3+ years’ experience in AWS
• Deep understanding in AWS serverless (lambda) and security architecture
• Proven experience with CI/CD processes and agile development methodologies.
• Desire to use new technologies and understand them in depth
• Various landscape understanding of data warehouse such as Athena, Postgres, MongoDb, DynamoDB, and other data storages
• A versatile, proactive, team player, can-do attitude, quick learner, and a great executor
  
  

• AWS Data ecosystem (Glue, SageMaker, EMR, Athena, LakeFormation) – an advantage
• Knowledge in Data libraries and processing (AirFlow/MWAA, DBT, PySpark) – an advantage
• Experience with Data Science (Scikit-learn / TensorFlow / PyTorch, etc.) – an advantage
• Background in cyber security – an advantage
• Passion for Data and Machine Learning – an advantage