Staff IT Software Engineer (Agentic AI & Gen AI)

Job Summary

As a Staff. IT Software Engineer at Palo Alto Networks youll join a team shaping the future of cybersecurity through innovative design backend development and AI. You will be instrumental in building autonomous AI agentic solutions that proactively plan and execute multi-step tasks using various tools and APIs. This role is critical to our mission of protecting our digital way of life by leveraging cutting-edge technology to solve complex security challenges.

Key Responsibilities

• Design query optimize and manage NoSQL (e.g. MongoDB Cassandra) and relational (MySQL/MSSQL) databases ensuring performance and reliability.
• Develop scalable maintainable and high-performance microservices using Python or Java with Spring Boot focusing on RESTful API development and security.
• Design and build autonomous AI agentic solutions applying hands-on experience in LLM architecture fine-tuning prompt engineering and Retrieval-Augmented Generation (RAG).
• Develop and orchestrate agentic workflows (A2A) that leverage LLM reasoning for independent decision-making and complex task execution.
• Utilize Google Cloud Platform (GCP) services for deploying managing and scaling applications on Google Kubernetes Engine (GKE).
• Implement and maintain CI/CD pipelines using tools like Harness or Jenkins to ensure smooth automated deployment cycles.
• Collaborate with cross-functional teams to define design and ship new features ensuring alignment on technical solutions and project goals.

Qualifications :

Required Qualifications

• Bachelors or Masters degree in Computer Science Engineering a related field or equivalent military experience.
• 5 years of software development experience with at least 2 years of hands-on experience in designing and building autonomous AI agentic solutions.
• Strong proficiency in Java programming and the Spring Boot framework for building scalable microservices.
• Expertise in NoSQL (MongoDB Cassandra) and SQL (MySQL MSSQL) databases including schema design querying and performance tuning.
• Demonstrated experience with Google Cloud Platform (GCP) services and deploying applications on Google Kubernetes Engine (GKE).

Preferred Qualifications

• Experience with LLM architecture including fine-tuning prompt engineering and Retrieval-Augmented Generation (RAG).
• Proficiency in Python for backend development and data processing.
• Familiarity with CI/CD pipelines using tools such as Harness or Jenkins version control with Git and automated testing frameworks.
• Experience in the cybersecurity industry.

Additional Information :

The Team

Engineering - Our engineering team is at the core of our products and connected directly to the mission of preventing cyberattacks. We are constantly innovating challenging the way we and the industry think about cybersecurity. Our engineers dont shy away from building products to solve problems no one has pursued before. We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity excited by the prospect of a challenge and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

Our Commitment

Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant 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  .

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.

Remote Work :

No

Employment Type :

Full-time