Senior IT Software Engineer (Agentic AI & Gen AI)

Your Career

As a Sr. IT Software Engineer at Palo Alto Networks, you'll be joining a team committed to shaping the future of cybersecurity. This role focuses on design, backend development, database management, and leveraging AI to build innovative solutions. You will be instrumental in designing and building autonomous AI agentic solutions that proactively plan and execute multi-step tasks using various tools and APIs, while contributing to the overall mission of protecting our digital way of life.

Your Impact

• Database Management:

  Design, query, optimize, and manage NoSQL Databases (e.g., MongoDB, Cassandra) and MySQL/MSSQL, including schema design, performance tuning, replication, sharing, and backup strategies.

• Backend Development:

  Develop scalable, maintainable, and high-performance microservices using Python/ Java and Spring Boot, focusing on object-oriented design, RESTful API development, database integration, and security frameworks. Familiarity with Maven, Gradle, and testing frameworks like JUnit is essential for JAVA development.

• AI Experience:

  Design and build autonomous AI agentic solutions, with hands-on experience in LLM architecture, including fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG). Develop agentic workflows (A2A) that leverage LLM reasoning for independent decision-making and complex goal achievement.

• Cloud Platforms:

  Utilize Google Cloud Platform (GCP) services such as Compute Engine, Cloud Storage, Cloud Functions, and Cloud Pub/Sub, with experience deploying, managing, and scaling applications on GKE (Google Kubernetes Engine).

• DevOps & CI/CD:

  Apply familiarity with CI/CD pipelines, preferably using GCP tools like Harness or Jenkins, and experience with Git, version control systems, and automated testing frameworks.

Your Experience

• UG/PG degree in Computer Science, Engineering, or a related field or military experience required.
• 5+ years of overall experience with 2+ years hands-on experience in designing and building autonomous AI agentic solutions, including LLM architecture, fine-tuning, prompt engineering, and RAG.
• Strong experience in Java programming and Spring Boot for building scalable microservices.
• Proficiency in NoSQL Databases (MongoDB, Cassandra) and MySQL/MSSQL, including schema design, querying, and performance tuning.
• Extensive experience with Google Cloud Platform (GCP) services and GKE.
• Familiarity with CI/CD pipelines using tools like Harness or Jenkins, and experience with Git and automated testing.