Principal Backend Engineer, Vectra AI

• If you’re excited about building from the ground up and shaping the future of AI in cybersecurity, we’d love to talk
• 10+ years of backend engineering experience, ideally in high-scale or data-intensive environments
• Strong programming skills in Python, Go, or Rust
• Experience with streaming data technologies (Kafka, Spark, Flink)
• Hands-on experience with one or more graph databases (Neo4j, JanusGraph, AWS Neptune)
• Familiarity with vector databases and RAG patterns (embedding stores, FAISS, Weaviate, Pinecone)
• Understanding of scalable API and microservices design (REST, gRPC, WebSockets)
• Comfortable in fast-paced, ambiguous startup environments with a strong builder mindset
• Someone who is looking for a hybrid work environment, with a minimum of 3 days in the San Jose office

Desirable

• We’re an early-stage startup on a mission to reinvent cybersecurity with AI-native infrastructure
• Our vision is to help defenders move faster than adversaries by combining large-scale data, modern AI, and
• Intelligent automation
• We’re backed by top-tier investors and working with design partners across critical infrastructure and enterprise security
• This is a hybrid role with the expectation of working in our San Jose office 3 days per week
• Design and implement backend services that process streaming security data in real-time
• Build and optimize data pipelines for ingestion, enrichment, and retrieval
• Integrate and query graph databases to model threat actors, relationships, and context
• Develop RAG pipelines to support AI agent reasoning over knowledge bases and historical data
• Collaborate with AI researchers, product, and security teams to define APIs and interfaces for agentic workflows
• Own and operate services from design to production monitoring