Sr Staff Engineer Software, Fullstack (NetSec)
Core
Designing and implementing a multi-tenanted Generative AI Security Platform to validate and secure AI systems against adversarial attacks.
Role type
Sr Staff Engineer Software, Fullstack (NetSec)
Builds
A GenAI Security Platform for organizations
Domain
Cybersecurity / Generative AI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Multi-tenant SaaS architecture, REST API design, Modern JavaScript frameworks (React/Vue/Svelte), TypeScript, Data-intensive dashboard development, Production AI/ML systems integration, LLM API integration, AI agent frameworks (LangChain/AutoGen), Prompt engineering, Vector databases, Cloud platforms (GCP/AWS/Azure), Kubernetes, Docker, Workflow orchestration engines, Infrastructure-as-code, Distributed systems
Preferred skills
AI safety and adversarial ML concepts, AppSec and security research, OWASP Top 10 and API security best practices, Observability platforms (Grafana/Prometheus/DataDog), Distributed task queues and resilience patterns
Technologies
React, Vue, Svelte, TypeScript, LangChain, AutoGen, MCP, GCP, AWS, Azure, Kubernetes, Docker, Airflow, Prefect, Temporal, Dagster, Grafana, Prometheus, DataDog
Responsibilities
Design and implement high-performance REST APIs with multi-tenant isolation; Work on distributed systems architecture for high-throughput workloads; Build responsive dashboards and administrative interfaces; Integrate multiple LLM providers and build intelligent agent workflows; Architect AI evaluation pipelines for large-scale data processing; Design and implement database schemas with optimization strategies; Build scalable micro-services; Develop data-intensive UIs with real-time updates; Deploy containerized applications on Kubernetes; Write thorough tests and maintain code quality; Collaborate on architecture decisions and mentor team members
Seniority
Sr Staff, hands-on IC with mentorship
