Staff Software Engineer (Data & Ai Platform)

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 CyberArks 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 platforms 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

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Qualifications :

• 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.

Additional Information :

Advantages

• 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.

Remote Work :

No

Employment Type :

Full-time