Jobs · Quality Assurance · California

Staff Software Engineer

Palo Alto Networks · Santa Clara, CA · 1 mo ago
On-siteQuality AssuranceFull-time

Key Responsibilities

  • 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, and refactoring.
  • Write clean, maintainable code and actively participate in peer reviews and team design discussions to ensure alignment.
  • 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.

Required Qualifications

  • BS/MS/PhD degree in Computer Science, Software Engineering, Machine Learning, Cybersecurity, or a similar technical field, with 3-5+ years of professional/equivalent software engineering experience.
  • Strong programming skills in one or more modern programming languages (e.g., Python, JavaScript/TypeScript, Java, Go, C/C++).
  • Solid understanding of computer science fundamentals, including distributed systems, data structures, algorithms, and operating systems.
  • Solid understanding of software development lifecycles (e.g., agile, DevOps) and version control tools like Git.
  • Demonstrated problem-solving skills and a willingness to ask questions and work openly with others.

Preferred Qualifications

  • Exposure to large language models (LLMs) or AI/ML APIs, even through personal projects.
  • Familiarity with cloud environments (e.g., GCP, AWS, Azure) and containerized development (e.g., Docker, Kubernetes).
  • Experience with modern developer tools such as CI/CD pipelines, observability platforms, and infrastructure-as-code.
  • A keen interest in Cybersecurity and protecting the digital world.

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