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Palo Alto Networks is looking for a seasoned SW Engineering Manager to join the Idira R&D platform organization. In this role, you will lead the team responsible for the Idira SaaS micro-frontend (MFE) platform and the critical services that handle API access to Idira services.
You will manage a high-performing team of engineers, combining hands-on technical leadership with strong execution. Your team owns services that are crucial to any customer interaction with Idira services whether it is UI or API access.
Key Responsibilities
Lead and Mentor: Grow a high-performing team of engineers; foster a collaborative environment and support professional development through mentoring and technical guidance.
Own Platform Execution: Drive the development of new features and capabilities that will allow PANW customers to have secure access to our continuously growing portfolio of Cyber Identity solutions.
Drive AI adoption: We started our journey to become an AI first engineering organization. As a leader you will help your team continue this journey.
Engineering Excellence: Maintain a high bar for quality, performance, and scalability. Oversee end-to-end delivery from design and implementation to production monitoring and support.
Stakeholder Management: Communicate progress, risks, and capability roadmaps clearly to management and partner teams. Maintain the capability matrix for Idira integrations.

Required Senior Staff AI Software Engineer (CORA AI)
Your Career:
As a Senior Staff AI Software Engineer on our Generative AI foundation team, you will build AI agents and shared infrastructure that power GenAI capabilities across the company. You will be involved in the full software lifecycle, from fast-moving prototypes to production-grade systems, enabling CyberArks product lines to adopt agentic workflows safely and at scale. You will collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
Your Impact:
Engage in the full software lifecycle, from fast-moving prototypes and POCs to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust services.
Work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services.
Use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve solutions.
Implement solid design, flexible implementation, strong telemetry, and production feedback loops.

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. Thats why most of our teams work from the office full time, with flexibility when its needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

We are looking for a strong, hands-on Data Engineer to join our team and play a key role in building our data infrastructure from the ground up. In this role, you will design and implement scalable data pipelines and platforms, supporting both batch and real-time use cases. You will work closely with analysts and stakeholders to deliver reliable, high-quality data solutions, and take full ownership of data flows - from ingestion to consumption. This is a great opportunity for an executor who enjoys building, moving fast, and making an impact.
What will your job look like?
Design, build, and maintain robust and scalable data pipelines (batch and real-time) end-to-end.
Design and implement scalable, flexible data architectures to support evolving business needs.
Build and manage data platforms, including data lakes and data warehouses.
Integrate multiple data sources (structured and unstructured) into a unified data platform using batch (ETL) and real-time streaming solutions.
Design and implement efficient data models, schemas, and database structures (SQL / NoSQL).
Develop and implement data quality processes to ensure accuracy, consistency, and reliability.
Monitor, optimize, and troubleshoot data infrastructure to meet performance and SLA requirements.