What are the responsibilities and job description for the Back End Engineer position at Vectra AI?
About Us
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. If you’re excited about building from the ground up and shaping the future of AI in cybersecurity, we’d love to talk.
We are hiring for multiple Backend Engineering roles on this team at various levels from mid-level to principal level.
This is a hybrid role with the expectation of working in our San Jose office 3 days per week.
Position Overview
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.
What We’re Looking For
5-10 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.
Nice to Have
Exposure to LLMs, agent frameworks (LangChain, AutoGen, PydanticAI).
Experience with security data formats (Syslog, Zeek, Sigma, etc.) and/or SIEM/XDR pipelines.
DevOps familiarity (Kubernetes, Terraform, observability stacks).
Why Join Us?
Founding-level equity and full-stack ownership.
Work on hard, meaningful problems at the intersection of AI and security.
High agency, fast learning, direct access to customers and users.
Backed by seasoned operators and security leaders.
Salary : $160,000 - $245,000
