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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.
Job Responsibility:
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.
Requirements:
Bachelor's degree with 2+ years of experience or a Master'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/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.
Nice to have:
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.