דרושים » תוכנה » Manager, AI Software Engineering (CORA AI)

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.

We are seeking a high-impact Sr. Staff Software Engineer to drive technical strategy, execution, and delivery within our Data & AI Platform team. In this role, you will architect cloud-native infrastructure, establish R&D best practices, and consistently ship high-ROI platform services that power core solutions for both internal systems and enterprise clients.
Your Impact:
Technical Leadership & Delivery: Define R&D engineering standards and architecture principles while taking full ownership of end-to-end delivery for complex, production-ready initiatives.
Cloud & Data Architecture: Architect and build scalable, highly available solutions across major cloud environments leveraging modern data, streaming, serverless, and storage platforms.
AI-Driven Engineering: Integrate modern AI tools and autonomous agents into daily workflows to optimize development velocity, author reusable agent skills, and maintain contextual grounding for maximum efficiency.
End-to-End Ownership: Lead all phases of an AI-augmented Software Development Life Cycle (ASDLC)-from architectural design through automated testing, CI/CD deployment, and operations.
Cross-Functional Collaboration: Partner with product leaders and technical stakeholders to translate complex business needs into clear, high-value software deliverables shipped on schedule.
Mentorship & Culture: Elevate engineering standards across the org through architectural guidance, code reviews, and continuous knowledge sharing.

Were building foundational infrastructure to secure AI agents-including their identities, access patterns, and interactions with sensitive systems and data.
This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent and user identity tailored to the modern agent ecosystem.
As a Staff Engineer, youll take ownership of these critical systems, designing and implementing how agents establish identity, receive dynamic access, securely interact with sensitive systems, and leave verifiable audit trails. Youll shape the long-term architecture, anticipate technical risks, and evolve systems that span both machine- and human-facing workflows.
This is a rare opportunity to combine hands-on engineering with technical leadership-writing critical code, mentoring engineers, sharing knowledge, and driving best practices-while building a platform from the ground up at the cutting edge of AI, identity, and security.
Responsibilities:
Own and guide the technical direction of core platform domains, including agent identity, authentication, authorization, and secrets management,
shaping architectures that span multiple services and teams while balancing scalability, reliability, and security.
Lead by example through high-impact implementation, mentoring engineers, and helping them navigate complex technical tradeoffs.
Proactively identify critical technical problems or gaps, and drive solutions from concept through delivery.
Establish and promote engineering best practices, ensuring high standards for code quality, security, and operational excellence.
Communicate complex technical concepts clearly to engineers, architects, product managers, and stakeholders, influencing decisions, fostering alignment, and driving cross-team collaboration.
Document key decisions, patterns, and practices to elevate team knowledge and ensure consistency across the platform.
Advocate for continuous improvement and operational efficiency, helping the team work smarter while maintaining a secure, high-quality platform.

As the Sr Principal Software Architect , you will drive the technical vision and evolutionary roadmap for the Idira Secure Infrastructure Access (SIA) RDP platform. You will architect secure, brokered Remote Desktop access solutions that enable zero-trust security without exposing credentials. Acting as the strategic authority across cross-functional engineering teams, you will establish benchmarks for enterprise security architecture in a fast-paced environment. We seek a visionary leader who combines deep system design mastery with a collaborative approach to deliver highly scalable and resilient distributed systems.
Key Responsibilities
Define the architectural vision and long-term technical strategy for the highly scalable SIA RDP platform.
Establish core architectural patterns, design principles, and engineering standards for distributed security components.
Partner with Product Management and executives to translate business goals into cutting-edge technical roadmaps.
Guide engineering teams through complex design decisions and conduct comprehensive high-level design reviews.
Foster a culture of technical excellence, continuous learning, and innovation across cross-functional teams.

We are looking for a highly motivated and passionate Principal Software Engineer to join our team.
In this role you will be using AWS serverless architecture, AWS CDK & Python (and C++ preferred) to design, develop, test, secure & deploy services from planning to production.
The team works in full collaboration with security architects, product managers and other development teams.
Lead the architectural design and system implementation of cloud-native, distributed microservices using AWS following secure-by-design principles.
Research and implement sophisticated Cyber security mechanisms.
Integrate the AI-Driven Software Development Life Cycle (ASDLC) as your primary development framework.
Drive engineering excellence through code reviews, design discussions, and active coaching to uplevel engineers across the team.
Participate in continuous and iterative engineering cycles with a heavy focus on code quality, testability, supportability, performance, and cost optimization.

Required Staff Software Engineer - Product Security
Job Description
Our Product Security organisation is building a dedicated Security R&D function - a software engineering team that builds security capabilities with the same engineering rigour as our product organisation. We are looking for a Staff Security Engineer to be a core contributor on this team.
Security R&D operates in two complementary modes: open contribution to product engineering - writing code alongside product teams where security expertise adds value - and developing its own security capabilities, including internal tooling, externally facing product features, AI-powered security automation, and third-party integrations.
This is a new team being stood up in Petah Tikva, Israel, co-located with our AI Security Research team. You will help shape the teams engineering practices and technical foundation from day one.
This role reports to the Sr. Engineering Manager, Security R&D.
What You Will Do:
Build Security Capabilities:
Design and develop security tooling, automation, and platform services that operate at our enterprise scale.
Contribute code directly into our product engineering codebases, embedding security capabilities where they have the highest impact.
Build AI-powered security automation by integrating in-house models and third-party services into production workflows.
Leverage our platform - Agent Framework runtime, ACL enforcement, data layer, and workflow engine - to create security capabilities that external vendors cannot match.
Collaborate Across Teams:
Work closely with the AI Security Research team on tooling for AI agent security, translating research insights into production-grade engineering.
Partner with product engineering teams during open contribution engagements, earning trust through code quality, reliability, and delivery.
Participate in design reviews, code reviews, and architecture discussions, contributing to the teams technical standards and engineering culture.
Grow with the Team:
Help define engineering best practices as a founding member of the Security R&D team.
Contribute to hiring and onboarding as the team scales, helping maintain the engineering bar.
Stay current on emerging AI/ML technologies and security threats, bringing new ideas into the teams roadmap.
What Makes This Role Unique
Builder-led culture: Security R&D is defined by engineering output, not advisory reviews. We build production security capabilities with the same discipline as product engineering.
Dual operating model: The team both contributes directly to product engineering and develops its own security products and services.
Platform advantage: we own the entire stack - runtime, ACLs, data layer, workflow engine. You will build security capabilities that no external vendor can replicate.
Founding team: This is a new team being built from scratch. You will shape its engineering culture, technical standards, and identity from day one.
AI intersection: The role sits alongside the AI Security Research team, placing you at the frontier of securing AI systems at enterprise scale.

Required Principal AI Security Engineer
Job Description
Role
This is a hands-on architecture role: deep research, secure systems design, and prototyping, applied across product lines with minimal direction and broad latitude to set the technical agenda. You will set platform-wide direction for securing the AI development lifecycle, define the security architecture, agents, and models operating within it, and represent our AI security point of view externally. You'll be a technical authority other engineers and other teams look to on emerging AI-specific threats, working in close partnership with the AI security research team - drawing on their findings and feeding real-world attack surfaces back into their agenda.
What you'll do:
Own the security strategy and architecture for our Agentic AI ecosystem, LLMs, and models across product lines
Lead threat modeling for the most complex and novel GenAI/agentic surfaces: cross-agent autonomy, multi-agent tool orchestration, and emerging attack classes not yet standardised in the industry
Set the architectural standard for securing model/RAG/data pipelines platform-wide, including access-control and data-boundary models that other teams are expected to build against
Define what "secure-by-design" means for agentic systems, and drive adoption across engineering orgs
Represent our AI security posture externally (standards bodies, industry publications, conferences) and internally to executive stakeholders
Mentor and technically guide engineers on AI-specific security work

We are building the core infrastructure and operating system for autonomous platforms.
Our platform enables real-world autonomous operations by coordinating drones, docking stations, edge systems, operators, and external systems in real time. It serves as the operational backbone for mission execution, command and control, communication, telemetry, orchestration, and fleet coordination across distributed autonomous environments.
This is not a typical backend role.
You will work at the intersection of distributed systems, Command & Control (C2), autonomous platforms, and real-world operations.
We are looking for engineers who are comfortable entering complex and unfamiliar systems, quickly understanding how they work, and turning operational concepts into clean software models and architectures.
You should enjoy reasoning about entities, relationships, state, events, commands, missions, resources, and system boundaries - and designing software that represents and coordinates them reliably.
The platform includes:
Command & Control capabilities for autonomous systems
Fleet orchestration and mission lifecycle management
Real-time communication between distributed autonomous components
Modeling and management of operational entities, states, and relationships
Telemetry, video, and operational data processing
Device interoperability across heterogeneous autonomous platforms
SDKs and APIs for platform integration and extensibility
AI agents and intelligent automation interacting with operational systems
As a Senior Engineer, you will help shape the technical foundation and domain architecture of the platform while solving complex problems across distributed systems, autonomous operations, and Command & Control.
Responsibilities
Design and build software systems for autonomous platform operations and Command & Control
Translate complex operational requirements and domain concepts into robust software architectures
Model operational entities, relationships, state transitions, commands, events, and workflows
Lead architecture and system design decisions across services, communication layers, and domain boundaries
Build scalable, low-latency, resilient production services
Design reliable communication and messaging flows between distributed system components
Solve complex challenges involving concurrency, scalability, latency, synchronization, and fault tolerance
Build abstraction layers for integrating heterogeneous autonomous devices, platforms, and external systems
Develop internal SDKs, APIs, and reusable infrastructure components
Design systems that can be consumed and operated by humans, autonomous components, and AI agents
Improve observability, debugging capabilities, and operational reliability
Drive engineering best practices, clean architecture, and code quality standards
Explore new technologies and approaches when existing solutions are not sufficient