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Sr Staff Engineer Software, Fullstack (Prisma AIRS) - NetSec

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Palo Alto Networks

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Location:
India , Bengaluru

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

Join our team building a cutting-edge multi-tenanted GenAI Security Platform that helps organisations validate and secure their AI systems against adversarial attacks.

Job Responsibility:

  • Design and implement high-performance REST APIs with enterprise-grade multi-tenant isolation and strict security boundaries
  • Work on distributed systems architecture handling high-throughput workloads with mission-critical uptime 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

Requirements:

  • 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

Nice to have:

  • 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

Additional Information:

Job Posted:
March 19, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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