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Our Mission

At Palo Alto Networks® everything starts and ends with our mission:

Being the cybersecurity partner of choice, protecting our digital way of life.

Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.

Who We Are

We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.

As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!

At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.

Your Career

We are seeking an experienced and visionary Director of Engineering to lead the development and evolution of our cutting-edge AIOps platform. In this critical role, you will be responsible for building the foundational data pipelines, data platform, and intelligent alerting infrastructure that powers our next-generation operational intelligence solutions. You will lead high-performing teams, drive technical strategy, and collaborate closely with customers to deliver impactful, low-noise insights.

Your Impact:

+ Lead the strategic direction, architecture, and development of our end-to-end AIOps platform, encompassing data ingestion, processing, storage, and intelligent alerting.

+ Oversee the design, implementation, and optimization of robust, scalable data pipelines capable of handling high-volume telemetry, logs, metrics, and event data.

+ Drive the evolution of our AIOps data platform, ensuring efficient data collection, resilient storage solutions, and advanced ETL processes to generate aggregated, normalized, and actionable insights.

+ Champion the development of our intelligent alerting infrastructure, including the creation and deployment of rule-based, statistical, and advanced machine learning-driven anomaly detection algorithms.

+ Collaborate intimately with internal stakeholders and external customers to deeply understand their operational challenges, ensuring the alert generation system produces highly valuable, meaningful, and low-noise actionable insights.

+ Build, mentor, and grow high-performing teams of software engineers, data engineers, and machine learning engineers, fostering a culture of technical excellence, innovation, and continuous improvement.

+ Partner closely with Product Management, SRE, and other cross-functional engineering teams to define roadmaps, gather requirements, and ensure seamless delivery of features.

+ Ensure the scalability, reliability, security, and performance of the AIOps platform across various deployment environments (e.g., cloud, on-premise).

+ Actively participate in roadmap discussions, technical reviews, and strategic planning, aligning technical initiatives with overall business objectives.

+ Drive best practices in software development, data governance, MLOps, and operational excellence.

Your Experience

+ MS/BS in Computer Science, Electrical Engineering, or a related technical field.

+ 15+ years of progressive experience in software engineering, with at least 10+ years in a leadership/management role (Director level preferred), specifically focused on data platforms, distributed systems, or AIOps.

+ Proven expertise in leading the design and development of large-scale, high-performance data pipelines and data processing systems.

+ Deep understanding and hands-on experience with scalable data storage solutions (e.g., time-series databases like Prometheus/InfluxDB, columnar databases like ClickHouse, distributed NoSQL stores like Cassandra/Elasticsearch).

+ Strong background in developing and operationalizing anomaly detection algorithms, statistical models, and machine learning solutions for operational data.

+ Experience working directly with customers to understand their needs, translate requirements into technical solutions, and drive adoption of intelligent systems.

+ A strong customer-centric mindset with a proven ability to deliver highly valuable solutions that reduce operational noise and provide clear insights.

+ Proficiency in relevant programming languages such as Python, Java, Go, Scala, or similar.

+ Extensive experience with cloud platforms (AWS, Azure, GCP) and container orchestration technologies (e.g., Kubernetes).

+ Exceptional leadership, team-building, and mentoring skills, with a track record of attracting and retaining top engineering talent.

+ Excellent communication, interpersonal, and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.

+ Strategic thinker with a pragmatic approach to problem-solving and a strong bias for action.

+ Ability to thrive in a fast-paced, dynamic environment, balancing innovation with operational stability.

The Team

Drawing on the near real-time data collected through PAN-OS device telemetry, our industry-leading next-generation insights product (AIOps for NGFW) gives large cybersecurity operators a force multiplier that provides visibility into the health of their next-generation-firewall (NGFW) devices. It enables early detection of issues at various levels of the stack via advanced time-series forecasting and anomaly detection using novel deep-learning techniques. Our mission is to leverage advanced AI and machine learning technologies to build intelligent solutions that empower support engineers to solve customer cases more efficiently. By creating AI-driven pipelines, we streamline the troubleshooting process, providing faster, more accurate insights from complex data patterns. Our team thrives on innovation, collaboration, and a passion for using data science to drive real-world impact, helping organizations stay secure in an ever-evolving digital landscape. Join us to shape the future of cybersecurity support with AI-powered solutions.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $305,000/YR - $320,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here (http://benefits.paloaltonetworks.com/) .

Our Commitment

We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected] .

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.