16 часов назад
Sr Staff Software Engineer (AI Software Integration - Prisma AIRS)
126 000 - 204 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr Staff Software Engineer (AI Software Integration - Prisma AIRS) (Python/AI Security): Building a multi-tenant GenAI security platform with an accent on asynchronous backend services, middleware APIs, data ingestion, and integrations with LLM and agentic workflows. Focus on engineering automated LLM red-teaming pipelines, enforcing security policies across AI gateways, and designing secure cloud and hybrid architecture blueprints.
Location: Santa Clara, California, United States; most teams work from the office full time. Travel may be required.
Salary: $126,000–$204,500 per year, with potential equity and bonus.
Company
develops cybersecurity solutions, including Prisma AIRS capabilities for securing enterprise AI workloads.
What you will do
- Build high-performance asynchronous Python microservices, REST/gRPC APIs, background workers, and database schemas.
- Develop ingestion endpoints, webhook receivers, and integration hooks for LLM prompts, context payloads, and agent execution logs.
- Connect model providers and agentic frameworks such as LangChain, LlamaIndex, and MCP through AI gateways with security controls and fallback routing.
- Create architecture diagrams and integration blueprints for Prisma AIRS across cloud and hybrid environments.
- Engineer automated LLM red-teaming pipelines and expose telemetry APIs for dashboards and SIEM tools.
- Review partner architectures and provide documentation or SDKs to accelerate integrations.
Requirements
- 5+ years of software engineering or systems integration experience focused on backend development and cloud security.
- Production-level Python expertise for asynchronous services, API frameworks, and microservice architectures.
- Experience with REST, gRPC, WebSockets, API gateways, middleware, webhooks, retry logic, and data transformation.
- Hands-on integration of LLM APIs, vector storage, and agentic protocols or frameworks.
- Experience creating technical architecture blueprints and securing AI workloads against prompt injection and model vulnerabilities.
- Experience with PyTest or unittest, distributed-system evaluation workflows, and strong communication skills; BS/MS in a related technical field or equivalent experience.
Nice to have
- Experience with Celery, Redis, RabbitMQ, distributed task queues, or event-driven architectures.
- Experience with automated AI red teaming, prompt defense tools, and securing MCP server interactions.
- Familiarity with ServiceNow, Databricks, or Glean.
Culture & Benefits
- Work in a cybersecurity organization focused on innovation, collaboration, execution, integrity, and inclusion.
- Compensation may include restricted stock units and a bonus.
- Immigration sponsorship is available.
- Reasonable accommodations are available for qualified individuals with disabilities or special needs.
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