Early In Career - Software Engineer

Engineering - Our Engineering team is at the core of our products and connected services. As part of this team, you will work with the best and brightest in the industry to build technologies that are changing the way people consume security and work in the digital age. Our engineers are empowered to be innovative and collaborative, solving the world's most challenging cybersecurity threats. Job Summary You will join a Research and Development (R&D) team that will give you the opportunity to make a global impact. One that protects our way of life in the digital age by preventing successful cyber attacks. A team looking for engineers who are passionate about technology, have an interest in cyber security, and also want to make a positive difference in the world that we live in. The projects our engineers are assigned will give real hands‑on experience working on our products from our Strata, Prisma and Cortex organizations. 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, refactoring, and operations. Write clean, maintainable code and participate in peer reviews and team design discussions. 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 Must be a US Citizen. Bachelor's degree earned between May/June 2024 and May/June 2025 with ~1 year of professional experience. (Internships, Co-ops, Research Assistant, TA roles do not count towards professional exp) Master's degree earned between Dec 2025 and May/June 2026 with at least 1 year of professional exp prior to Masters. Degree focus must be Machine Learning, Computer Science, Cybersecurity, Data Science, Artificial Intelligence, Software Engineering or something similar. Strong programming skills in either Python, Java or C/C++. Familiarity with Networking fundamentals (for Embedded & Distributed Systems positions). An understanding of the fundamentals of Computer Science. Exemplify strong initiative and ability to work independently with limited direction. Ability to work cross functionally with other engineers, researchers and Product Managers. Excellent communications skills and an interest in Cybersecurity. Preferred Qualifications Exposure to large language models (LLMs) or AI/ML APIs, even through personal projects. Familiarity with cloud environments (GCP, AWS or Azure) and containerized development (e.g., Docker, Kubernetes). Experience with modern developer tools such as CI/CD pipelines, observability platforms, and infrastructure-as-code. #J-18808-Ljbffr Palo Alto Networks