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As a Senior Principal DevOps Engineer, you will serve as a visionary technical leader within the Cortex Cloud DevOps group. You will define the technical strategy and architecture that ensures our massive-scale production services remain highly reliable, exceptionally secure, and performant. You will pioneer the integration of AI-driven capabilities into our daily operations, establishing elite engineering standards and fundamentally transforming the workflows of hundreds of developers through autonomous agents and intelligent procedures.
Your Career
Architectural Vision & Scalability: Design and scale massive, resilient distributed systems and global Kubernetes infrastructure, implementing robust observability and monitoring frameworks.
AI-Driven Transformation: Revolutionize the SDLC by integrating Generative AI, autonomous agents, and LLM-powered workflows into CI/CD and self-healing systems to accelerate developer velocity.
Technical Leadership & IaC: Define architectural standards, lead GitOps/IaC (FluxCD/Terraform) strategies, and mentor Senior/Staff engineers across the R&D organization.
Developer Experience & Efficiency: Build and champion AI-powered platforms that automate troubleshooting and eliminate friction. Partner directly with Engineering Directors, Principal Architects, and Product Management to align infrastructure initiatives with business goals, optimizing for scale, high availability, and multi-million-dollar cost-efficiencies.
Security & Compliance: Embed "Security by Design" principles into the platform architecture to ensure platform integrity without sacrificing delivery speed.

We are seeking a talented Technical Program manager to join our software group. In this high-visibility, hands-on role, you will drive forward the development of our software platform by defining the product and technical direction.

The Cortex Content team powers Palo Alto Networks security operations platforms by building the essential integrations, data connectors, and intelligence layers that protect our customers.
We are looking for a Principal Software Engineer who is a true AI and automation builder to help scale our content ecosystem. In this role, your focus will be to bring your expertise in leverage AI to accelerate the delivery, quality, and quantity of our security integrations and content infrastructure. You will design and develop intelligent tools and workflows that enable engineering peers and Technical Program Managers (TPMs) to scale their output solutions into our development lifecycle.
Your Impact:
Scale Content Delivery: Design and implement AI-driven systems that empower the team to significantly increase both the quantity and the rigorous quality of our security integrations.
Develop Cross-Functional Tooling: Build internal developer tools and agentic workflows that enable other engineers and TPMs to streamline content creation, validation, and management.
Optimize Workflows: Create reliable CI/CD pipelines incorporating AI agents to automate code generation and testing processes.
Support Team Adoption: Collaborate with engineering peers and cross-functional partners as they test and integrate your tools into their daily workflows, using their feedback to drive continuous improvements.
Contribute to AI Integration: Help lead the practical integration of LLMs and automation frameworks into our day-to-day engineering processes.

Were looking for a software developer with a real passion for hardware. You enjoy the moment when code makes a physical device do something, youre comfortable standing at a lab bench, and you take a problem from a vague request to a working solution that people actually use.

Responsibilities
Design and build macOS tools and applications, primarily in Python and Swift, for hardware test setups, lab research setups, and lab automation.
Develop company-wide tools used by multiple teams for dedicated proprietary hardware research, and support them as real products with real users.
Own problems end to end: understand the need with the people at the bench, design the solution, implement, deploy, and iterate until it works in the lab.
Integrate with instruments, sensors, and custom hardware over USB, serial, Bluetooth, network, and other lab interfaces.
Build supporting infrastructure as needed: cloud dashboards, databases, data pipelines, and reporting for test and research results.
Implement algorithms and data-processing logic that turn raw measurements into usable results.
Support Windows environments when lab equipment or vendor software requires it.
Make advanced AI coding tools a core part of how you build, and help the team move faster with them.
Take part in design and code reviews, and help raise the quality and maintainability of the teams tools.

The road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision and Geometric Modeling algorithms.
We are looking for an Algorithm Developer to help us advance our technology and push the boundaries of what's possible in autonomous driving.
What will your job look like:
Research and develop state-of-the-art computer vision and deep learning algorithms for ADAS and autonomous driving.
Participate in the entire development cycle, from initial research and prototyping to deployment on real-time embedded systems within the vehicle.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.
Analyze large datasets to improve algorithm performance and robustness.

We are looking for a Senior Security Researcher to join our Identity Threat Detection and Response team. In this role, you will research the evolving threat landscape and develop advanced detections to protect SAAS, Cloud, on-premises, and hybrid identities. You will focus on identifying and mitigating identity-related threats across networks, endpoints, and cloud environments, using statistical classification methods to build effective detection models and protecting customers at scale. Additionally, you will collaborate with cross-functional teams, validate detection concepts on real-world data, and continuously enhance detection capabilities to stay ahead of emerging threats.
Key Responsibilities
Research innovative methods for detecting targeted attackers operating in endpoints, networks, cloud and SAAS environments.
Simulate real-world attacks in lab environments and conduct a deep analysis of the behavior.
Develop and refine statistics-based classification algorithms and techniques to create and improve detection models.
Research specific scenarios to enhance our model's capabilities.
Collaborate within a diverse research group, improving our research processes and leading us to be a better team creating a better product.
Stay informed on the latest APTs, attacker methodologies, and TTPs to ensure our models stay ahead of emerging threats.

We are looking for a Technical Product Manager to drive the development of the internal platforms and tools that power our business. This includes building the back-office systems, acquisition and monetization products that allow us to evaluate, acquire, and scale mobile apps efficiently.

You will also play a role in shaping AI-driven systems that support our acquisition strategy, helping us identify and act on the most promising opportunities. Working closely with engineering, monetization, data, operations teams and the leadership, youll ensure our tools are reliable, scalable, and create real business impact.

We are seeking a highly skilled and innovative Control Engineer to join our dynamic team dedicated to advancing the field of autonomous vehicles. As a Control Engineer, you will play a crucial role in designing, developing, implementing and testing hands on control algorithms to enhance the performance, safety, and efficiency of our autonomous vehicle systems.
*Please note that this position requires 2 days a week at our HQ in Jerusalem.
What will your job look like:
Work on developing and optimizing control algorithms for the vehicle.
Run and analyze simulations to test autonomous vehicle in virtual environments.
Collaborate with hardware engineers to integrate control algorithms with the vehicle's hardware components, such as sensors, actuators, and onboard computers.
Working with communication protocols and interfaces for both internal and external communications with different components of the system.
Customer facing workshops to discuss and test your algorithms.
Testing your algorithms in an Autonomous vehicle.

Our engineering team is at the core of how modern data security is built. We are redefining how organizations understand and protect their most sensitive data in a world of growing scale, speed, and complexity. By combining high-performance systems with intelligent, AI-driven capabilities, we challenge traditional approaches and push the boundaries of what data classification can achieve.
Were looking for engineers who thrive in open-ended environments, are energized by hard problems, and are motivated to build solutions that dont yet exist. This role is about more than writing code. Its about shaping how intelligent systems detect, interpret, and protect data across cloud and endpoint environments.
In this role, you will play a central part in designing and building a core classification engine that powers multiple security solutions across the platform. Your work will directly influence how different products identify risk, enforce protection, and operate at scale. Youll work at the intersection of large-scale systems and applied AI, turning raw signals into accurate, reliable insights that help customers secure their data with confidence.
Key Responsibilities
Build and scale AI-driven data classification and detection capabilities for next-generation data security products.
Design systems that identify, classify, and protect sensitive data in real time across cloud and endpoint environments.
Lead technical design discussions and influence architecture for large-scale data processing systems.
Partner with product, infrastructure, and other engineering teams to deliver tightly integrated solutions.
Solve complex engineering challenges related to scale, performance, reliability, and operations.
Raise the technical and collaborative bar by mentoring, sharing knowledge, and improving team practices.
Proactively suggest ideas, lead initiatives, and drive continuous improvement across the product and engineering processes.

Required Deep Learning Researcher
About the team:
We are a pioneering force in the autonomous vehicles (AV) industry.
Join us to build the brain behind the car - a large-scale, multi-task neural network that powers the core of our autonomous stack.
Youll design and train cutting-edge deep learning models tailored for our custom EyeQ chip, tackling end-to-end challenges and deploying real-world solutions.
From novel architectures and advanced training techniques to performance tuning under tight constraints, youll work closely with software and hardware teams to turn research into high-impact, production-ready systems.
If youre a brilliant, hands-on researcher with a passion for shaping the future - this is your launchpad.
Our team is at the forefront of our most advanced AI efforts. As a central hub for deep learning innovation, were trusted with designing the core neural network architecture that powers the companys flagship products. If youre seeking a high-impact role among top-tier researchers and developers - this is the place to be.

We pride ourselves on offering access to the most comprehensive data repositories across various verticals and are committed to providing exceptional and rapid support to meet our clients evolving data needs.

for creating requisitions from scratch

What Youll be Doing:
Develop, scale, and maintain the collection systems and high-throughput ingestion architecture.
Design and implement robust backend services, microservices, and feature enhancements using both Java and Python.
Build and optimize scalable data pipelines handling massive volumes of data from various sources through to downstream storage and indexing.
Troubleshoot, monitor, and test core product software, message brokers, and distributed databases to ensure healthy functionality, identify bugs, and ensure proactive resolution.
Implement architectural optimizations to enhance system efficiency, low latency, reliability, and scalability across multi-cloud environments.
Collaborate with cross-functional teams to define requirements, design resilient system architectures, and deliver high-impact production solutions.

We are looking for a leader to develop our Domain Consultant team, providing training and technical support as a product expert. Additionally, you will provide feedback to the product management team on new feature requests and product improvements based on what you learn from your customer base. Your team, in partnership with the Solutions Consulting team, will displace competitor technologies and build market share within your targeted list of major accounts, and most importantly, help your client sleep at night as they use our products to build secure digital transactions.
Your Impact
Lead your team to innovate and iterate to drive high technical validation and PoC win rates for Idira solutions, while reducing technical validation and PoC timelines
Provide effective technical leadership in customer interactions to include sharing security operations trends and standard methodologies employed by other customers to actively be part of the selling process.
Recruit and hire new Domain Consultants into the team, hiring the best talent in the industry
Work with your peers to develop a Domain Consultant training curriculum
Mentor, train, and review Domain Consultants on your team, keeping them engaged and successful in their careers
Develop relationships with the Solutions Consultant Managers and their teams to ensure full technology coverage in key opportunities
Provide Domain Consultant expertise and fill in for existing team members if there is a resource conflict or vacation coverage challenge
Present to customers as our expert in your area at all levels in the customer hierarchy from technician to CIO
Lead conversations focused on industry trends and emerging changes to the security landscape
Discuss competitor offerings in the marketplace and positions ours as the best solution
Support your team in documenting HLD (High Level Design) and key use cases to ensure proper implementation and value realization of Palo Alto Networks solutions
Review and guide your teams technical validation plans including POV (proof of value) test plans and customer readiness/requirements
Build and maintain relationships with key customers to solidify reference accounts and to assist the account teams with defining plans to drive more business
Act as an escalation point for pre-sales and collaborate with post-sales teams for issues that arise
Work with product teams to build requirements and roadmap development plans for our Idira customers
Maintain an understanding of competitor selling strategies and technologies
Up to 50% travel within assigned region.

Required Algorithm Researcher - Autonomous Driving (CTO Group)
About the team:
The CTO Group is a small, elite team focused on the decision-making module of our autonomous driving system.
Our mission is to solve some of the hardest problems in autonomous driving by combining the full spectrum of modern computer science - from rigorous mathematical modeling, optimization, and algorithm design to deep learning.
The team develops the driving policies that translate system-wide inputs into safe, efficient, and human-like driving behavior. Our work spans classical algorithms, optimization under constraints, probabilistic reasoning, reinforcement & supervised learning, all grounded in real-world driving data.
The group is comprised of top researchers and developers and is led by world-class scientists, offering a unique opportunity to work closely with the CTO, shape the future of autonomous driving, and influence the company's technical direction.
What will your job look like:
Research and develop innovative algorithms for autonomous driving planning and decision-making.
Model complex real-world driving scenarios and formulate them as optimization, learning, or algorithmic problems.
Apply a broad range of techniques - from mathematical modeling and classical algorithms to machine learning and deep learning - to improve driving policies.
Analyze large-scale driving data to gain insights, validate hypotheses, and improve system robustness and performance.
Design and implement high-quality production-ready code in a research-driven environment.
Read, evaluate, and build upon state-of-the-art scientific literature in algorithms, AI, and machine learning.