RippleMatch Opportunities
Palo Alto Networks - Software Engineer - Bachelors - New College Grad, applicati
RippleMatch Opportunities, Santa Clara, California, us, 95053
Palo Alto Networks - Software Engineer - Bachelors - New College Grad
This role is with Palo Alto Networks. Palo Alto Networks uses RippleMatch to find top talent. Software Engineer (August 2026)
Please note that we will not sponsor applicants for work visas for this position. Our Mission At Palo Alto Networks everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. We offer FLEXWORK, an employee-centric reimagining of how we work, based on flexibility, trust, and choice whenever possible. Our Approach to Work At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. Our employees generally work from the office three days per week, leaving two days for choice and flexibility to work where you feel most effective. We expect office-based employees to be in the office three days per week, with two days working from where they choose. You will join a Research and Development (R&D) team that will give you the opportunity to make a global impact, protecting our way of life in the digital age by preventing successful cyber attacks. 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 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. Your Experience Bachelor's degree earned recently or anticipated to be earned within the next 12 months in Machine Learning, Computer Science, Cybersecurity, Data Science, Artificial Intelligence, Software Engineering or something similar Strong programming skills in either Python, Java or 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 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 Our Team Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. We are constantly innovating – challenging the way we, and the industry, think about cybersecurity. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. We are committed to providing reasonable accommodations for all qualified individuals with a disability. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
#J-18808-Ljbffr
This role is with Palo Alto Networks. Palo Alto Networks uses RippleMatch to find top talent. Software Engineer (August 2026)
Please note that we will not sponsor applicants for work visas for this position. Our Mission At Palo Alto Networks everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. We offer FLEXWORK, an employee-centric reimagining of how we work, based on flexibility, trust, and choice whenever possible. Our Approach to Work At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. Our employees generally work from the office three days per week, leaving two days for choice and flexibility to work where you feel most effective. We expect office-based employees to be in the office three days per week, with two days working from where they choose. You will join a Research and Development (R&D) team that will give you the opportunity to make a global impact, protecting our way of life in the digital age by preventing successful cyber attacks. 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 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. Your Experience Bachelor's degree earned recently or anticipated to be earned within the next 12 months in Machine Learning, Computer Science, Cybersecurity, Data Science, Artificial Intelligence, Software Engineering or something similar Strong programming skills in either Python, Java or 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 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 Our Team Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. We are constantly innovating – challenging the way we, and the industry, think about cybersecurity. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. We are committed to providing reasonable accommodations for all qualified individuals with a disability. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
#J-18808-Ljbffr