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# Staff Software Engineer

- **Company:** Palo Alto Networks
- **Location:** Santa Clara, CA, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Code Generation, Software Quality, Cursor, DevOps, MongoDB, Redis, Software Systems, Spring Cloud, Claude Code, Containerization, Information Technology, Deployment Automation, Code Restructuring, Docker, Microservices
- **Published:** October 20, 2026
- **Apply:** https://www.juju.com/job/23_28CD182C123DFF71136370088AE25246

## About the Role

Bachelor's degree or foreign degree equivalent in Computer Science, or related field.

Minimum Work Experience Required

2 years of experience in the Staff Software Engineer, or any other related occupation, job title/position.

Your Experience / Minimum Skills Required

Java and Python. Distributed microservices architecture. Docker containerization. MongoDB. Cloud-native applications. Redis.

## Description

of our teams work from the office full time, with flexibility when it's needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary As a Staff Software Engineer, you will collaborate with cross-functional teams to design, develop, and deploy software solutions, leveraging cutting-edge technologies and AI-assisted tools to drive productivity and software quality. Your Career In this role, you will help define and evolve engineering practices, contribute to DevOps automation, and apply new frameworks to enhance developer workflows.

Work Location: 3000 Tannery Way, Santa Clara, CA 95054 (Telecommuting may be permitted. When not telecommuting, must report to worksite.)

Your Impact

Collaborate with cross-functional teams to design, develop, and deploy software solutions with agility and rapid iteration. Use and experiment with AI-assisted development tools (e.g., Cursor, Claude Code, internal agents) to boost productivity and improve code quality. Help define and evolve new engineering practices that leverage AI for code generation, testing, documentation, refactoring, and operations. Contribute to the automation of development, deployment, and monitoring processes as part of a DevOps culture. Continuously learn and apply new AI technologies, frameworks, and techniques that can enhance developer workflows. Participate in team retrospectives and help drive improvements in team velocity and product quality.