Sr Staff Engineer Software (AI/ML Engineer)
About The Position
Your Career Prisma Access™ provides protection straight from the cloud to make access to the cloud secure. It combines the connectivity and security you need and delivers it everywhere you need it. Using cutting-edge public and private cloud technologies extending the next-generation security protection to all cloud services, customers on-premise remote networks and mobile users. We are seeking an experienced Software Engineer to design, develop and deliver next-generation technologies within our Prisma Access team. We want passionate engineers who love to code and build great products. Engineers who bring new ideas in all facets of software development. We are looking for leaders who take ownership of their areas of focus and who are driven to solve problems at every level. Collaboration and teamwork are at the foundation of our culture and we need engineers who can communicate at a high level and work well with others towards achieving a common goal. Your Impact Collaboration & Cross-Functional Leadership: Work alongside a team of Data Plane, Control Plane, Kubernetes, Cloud Infrastructure, Security, and Networking experts. Collaborate with product teams, platform teams, the PanOS team, QA, PMs, DevOps, and Security to streamline deployments and optimize system reliability. 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. Enhance performance, cost-efficiency, and availability in cloud-native environments (AWS, GCP, OCI). 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. I ndustry Leadership: Contribute to ongoing learning and innovation, striving to define industry standards rather than waiting for direction.[Input by recruiter and audited by recruiting specialist]
Requirements
- 5+ years of experience in software engineering (Backend, Full Stack, Data Engineering, or Applied Science).
- 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. Note: Production-level experience is required; demos, PoCs, and side projects do not qualify.
- 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. Solid foundational knowledge in Networking and Cloud is crucial for applying AI/ML effectively in this team.
- Strong analytical, debugging, and problem-solving skills with a "go-getter" mindset and the ability to drive ambiguous projects to completion.
Nice To Haves
- Experience building your own MCP (Model Context Protocol) servers.
- Strong passion for eliminating inefficiencies and improving developer productivity.
- Experience with multi-cluster Kubernetes deployments and edge computing.
- Exposure to serverless computing (Knative, AWS Lambda).
- Experience working with observability tools (Prometheus, Grafana, OpenTelemetry).
Responsibilities
- Work alongside a team of Data Plane, Control Plane, Kubernetes, Cloud Infrastructure, Security, and Networking experts.
- Collaborate with product teams, platform teams, the PanOS team, QA, PMs, DevOps, and Security to streamline deployments and optimize system reliability.
- Design, develop, and implement highly scalable software features and infrastructure focused on AI/ML applications to transform our next-generation platform.
- 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.
- Profile, optimize, and tune the control plane and data plane for efficient cloud operation.
- Enhance performance, cost-efficiency, and availability in cloud-native environments (AWS, GCP, OCI).
- Be hands-on in creating tools, processes, and systems that drive transparency, alignment, and direction, specifically aimed at enhancing developer productivity.
- 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.
- Contribute to ongoing learning and innovation, striving to define industry standards rather than waiting for direction.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
