Sr. Staff Engineer Software (Prisma AIRS) - NetSec

requirements. Build responsive dashboards and administrative interfaces for platform management, data visualisation, and system configuration. Integrate multiple LLM providers, implement semantic search capabilities, and build intelligent agent workflows. Architect complex, multi-step AI evaluation pipelines for asynchronous job execution and large-scale data processing. Design and implement database schemas with proper indexing, query optimisation, and data isolation strategies. Build and maintain scalable micro-services with async/await patterns and type-safe code. Develop data-intensive UIs with real-time updates, complex state management, and intuitive user experiences. Deploy and manage containerised applications on Kubernetes with comprehensive observability. Write thorough tests (frontend and backend) and maintain high code quality standards with automated tooling. Collaborate on architecture decisions and mentor team members on best practices.

Qualifications Required

Qualifications Proven experience building and scaling multi-tenant SaaS platforms with strict data isolation. Strong knowledge of API design, RESTful principles, and OpenAPI specifications. Proficiency in modern JavaScript frameworks (React, Vue, or Svelte) with TypeScript. Experience building data-intensive dashboards with complex visualisations and real-time data. Strong CSS/styling skills and responsive design principles. Demonstrated experience working with production AI/ML systems at scale. Practical experience integrating LLM APIs and managing inference at scale. Understanding of LLM operational challenges: rate limiting, cost optimisation, latency management, fallback strategies. Familiarity with AI agent frameworks (LangChain, AutoGen, MCP, or similar). Knowledge of prompt engineering, semantic search, and vector databases. Hands-on experience with one of the major cloud platforms (GCP, AWS, or Azure). Strong Kubernetes and Docker skills with production deployment experience at scale. Experience with workflow orchestration engines (Airflow, Prefect, Temporal, Dagster, or similar). Proficiency with infrastructure-as-code, GitOps, and CI/CD pipelines. Understanding of distributed systems, networking, load balancing, and service mesh architectures. Preferred

Qualifications Familiarity with AI safety, red teaming, or adversarial ML concepts. Prior experience in cybersecurity, AppSec, or security research. Knowledge of OWASP Top 10, API security best practices, RBAC, and IAM. Background in observability platforms (Grafana, Prometheus, DataDog, or similar). Experience with distributed task queues, message brokers, and resilience patterns. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t 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 [email protected] . 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? No. Please note that we will not sponsor applicants for work visas for this position.

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