Sr Staff Engineer Software (AIML Engineer)

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.

• Industry Leadership: Contribute to ongoing learning and innovation striving to define industry standards rather than waiting for by recruiter and audited by recruiting specialist

Qualifications :

Your Experience

• Experience: 5 years of experience in software engineering (Backend Full Stack Data Engineering or Applied Science).

• Programming: Hands-on programming mastery in Python and Go is required.

• AI/ML Expertise: 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.

• Cloud Native: Strong background in cloud platforms (AWS GCP or OCI) and cloud-native technologies.

• Networking Fundamentals: 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.

• Problem Solving: Strong analytical debugging and problem-solving skills with a go-getter mindset and the ability to drive ambiguous projects to completion.

Preferred:

• 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).

Additional Information :

The Team

Our engineering team is at the core of our products and connected directly to the mission of preventing cyberattacks. We are constantly innovating challenging the way we and the industry think about cybersecurity. Our engineers dont shy away from building products to solve problems no one has pursued before. 

We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity excited by the prospect of a challenge and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

Compensation Disclosure

The compensation offered for this position will depend on qualifications experience and work location. For candidates who receive an offer at the posted level the starting base salary (for non-sales roles) or base salary commission target (for sales/commissioned roles) is expected to be between $175000 - $190000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

Our Commitment

Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant accomplish our mission without diverse teams innovating together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need please contact us at  .

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.

All your information will be kept confidential according to EEO guidelines.

Is role eligible for Immigration Sponsorship: Yes

Remote Work :

No

Employment Type :

Full-time