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Key skills for this role
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
7 or more years of experience in software engineering, with strong full-stack development experience
Hands-on experience integrating LLMs in production systems, including prompt design, tool calling, and evaluation approaches
Demonstrated experience building AI agent–based systems in production, including orchestration of LLMs, tools, and workflows
Strong backend engineering skills using languages such as Java, Kotlin, Python, or Node.js
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Solid frontend experience with modern frameworks such as React or similar
Experience building and operating distributed systems on cloud platforms such as AWS, Azure, or GCP
Familiarity with event-driven architectures, asynchronous processing, and data streaming patterns
Experience with containerization and orchestration technologies such as Docker and Kubernetes
Ability to lead technical initiatives and influence peers through strong engineering judgment and clear communication
Experience applying AI systems to marketing, customer engagement, or GTM workflows
Exposure to vector databases, embeddings, retrieval-augmented generation, or feature stores
Understanding of data governance, privacy, and compliance considerations in enterprise environments
Experience working in agile development environments
A track record of improving system reliability, scalability, or developer productivity through thoughtful design
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/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
Our Commitment
We’re trailblazers that dream big, 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 accommodations@paloaltonetworks.com.
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.
Palo Alto Networks is a cybersecurity company. It develops platforms and services that help organizations protect networks, cloud environments, endpoints and security operations, and it also provides threat intelligence and incident response services.
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