Palo Alto Networks is looking to solve the problem of providing protection straight from the cloud to make access to the cloud secure, by designing, developing and delivering next-generation technologies within their Prisma Access team.
Requirements
- Hands-on programming mastery in Python and Go is required.
- Required hands-on experience with LLMs and GenAI applications, or Machine Learning/Data Science experience including ETL, dataset curation, and running large evals.
- Strong background in cloud platforms (AWS, GCP, or OCI) and cloud-native technologies.
- Strong background in networking concepts, proxies, the TCP/IP stack, and TLS.
- Experience building your own MCP (Model Context Protocol) servers.
- Experience with multi-cluster Kubernetes deployments and edge computing.
- Exposure to serverless computing (Knative, AWS Lambda)
Responsibilities
- Collaboration & Cross-Functional Leadership: Work alongside a team of Data Plane, Control Plane, Kubernetes, Cloud Infrastructure, Security, and Networking experts.
- Technical Strategy & Implementation: Design, develop, and implement highly scalable software features and infrastructure focused on AI/ML applications to transform our next-generation platform.
- AI-Driven Innovation: Drive the application of AI/ML techniques to reinvent the SDLC and drastically improve product outcomes in areas such as quality, observability, monitoring, and automated troubleshooting.
- Performance Optimization: Profile, optimize, and tune the control plane and data plane for efficient cloud operation.
- Process & Tools: Be hands-on in creating tools, processes, and systems that drive transparency, alignment, and direction, specifically aimed at enhancing developer productivity.
- Data-Driven Decisions: Lead data-driven analysis efforts to identify opportunities for AI to improve product outcomes and work with development teams to ensure successful AI integration across the ecosystem.
- Industry Leadership: Contribute to ongoing learning and innovation, striving to define industry standards rather than waiting for direction.
Other
- 5+ years of experience in software engineering (Backend, Full Stack, Data Engineering, or Applied Science).
- Strong analytical, debugging, and problem-solving skills with a 'go-getter' mindset and the ability to drive ambiguous projects to completion.
- Ability to work from the office full time, with flexibility when it's needed.
- Strong passion for eliminating inefficiencies and improving developer productivity.
- Commitment to providing reasonable accommodations for all qualified individuals with a disability.
