Staff Software Engineer (Data & Ai Platform)

Company Description

About CyberArk:

CyberArk (NASDAQ: CYBR), is the global leader in Identity Security. Centered on privileged access management, CyberArk provides the most comprehensive security offering for any identity – human or machine – across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. The world’s leading organizations trust CyberArk to help secure their most critical assets. To learn more about CyberArk, visit our CyberArk blogs or follow us on X, LinkedIn or Facebook.

Job Description

As a Staff Engineer in the Data & AI Platform group, you will be a senior technical leader responsible for driving the design, implementation, and delivery of complex, high-impact features across CyberArk’s data and AI ecosystem.

You will set engineering standards, lead cross-team initiatives, and provide hands-on technical guidance to developers working on large-scale, cloud-native distributed systems.

This role combines deep technical expertise with leadership: shaping the platform’s architecture, mentoring senior engineers, and ensuring technical excellence and execution.

In this role you will

• Lead end-to-end development of high-priority, cross-team features and initiatives in the Data & AI platform.
• Design and implement scalable, resilient, and secure distributed systems in a modern cloud environment.
• Drive technical decision-making, influence architecture directions, and collaborate closely with product, data engineering, and AI teams.
• Mentor developers, support their growth, and elevate engineering practices across the group.
• Promote engineering excellence through code reviews, design reviews, and continuous improvement initiatives.
• Evaluate new technologies and guide their adoption where appropriate.
• Collaborate with engineers and managers across CyberArk to align standards, share knowledge, and lead technical deep dives
  
  

• 7+ years of hands-on experience developing and designing large-scale, distributed, cloud-based systems.
• Strong experience with AWS, cloud-native architecture, microservices, event-driven design, containers, and serverless patterns.
• Proficiency in at least one modern backend language (Python is an advantages).
• Proven experience leading complex engineering initiatives involving multiple teams.
• Demonstrated ability to mentor developers and influence technical strategy.
• Strong understanding of data systems, databases, messaging/streaming technologies, and high-throughput pipelines.
• Solid experience with CI/CD, DevOps practices, automated testing, and production operations.
• Excellent communication, collaboration, and problem-solving skills.
  
  

• Experience with real-time data, streaming pipelines, or AI/ML infrastructure.
• Work with Kubernetes, data observability, or platform engineering.
• Background in cybersecurity or large-scale SaaS environments.
• Experience in multi-tenant architecture and complex distributed system challenges.