Staff Software Engineer
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Role details
Tech stack
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Job description
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.
Requirements
Software Engineering, Leading Edge Technology, Internet Security, Artificial Intelligence (AI), Problem Solving Skills, Software Engineering, Cross-Functional, Software Development, Technical/Engineering Design, Automation, Minimum Education Required:
- 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.
The Team
We believe collaboration thrives in person. That’s why most of our teams work from the office full time (3 days a week at our Santa Clara headquarters), with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.
Benefits & conditions
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 the annual range listed below. The offered compensation may also include restricted stock units and a bonus.
- Salary Range: $129,790.00 - $169,500.00 per year
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.
About the company
At Palo Alto Networks, we’re united by a shared mission-to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.
Who We Are
In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. That’s why most 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.
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