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Vectra

AI-driven network detection and response platform

Staff Software Engineer - Fusion

Backend EngineeringUpdated on Nov 10
Full-timeAustin, TX, USAIn-person

About the Job

Requirements

  • At least 8 years of experience building distributed systems at scale.
  • Strong proficiency in Go and experience with Python.
  • Experience with streaming or data-intensive systems such as Kafka, Kinesis, or Flink.
  • A solid understanding of network telemetry, including flow logs and DNS.
  • Experience with cloud platforms; AWS is preferred.
  • A strong background in systems design, performance, and reliability.
  • A proven ability to lead technical initiatives across teams.

Responsibilities

  • Design and build scalable backend systems using Go and Python.
  • Develop and evolve high-throughput data pipelines for network flow and DNS telemetry.
  • Architect systems for real-time and near-real-time data processing.
  • Improve the performance, scalability, and cost efficiency of platform services.
  • Lead design and code reviews and set a high bar for engineering quality.
  • Drive cross-team architecture and platform alignment.
  • Partner with product and detection teams to deliver shared platform capabilities.
  • Mentor engineers and contribute to a culture of technical excellence and ownership.

Desired Qualifications

  • Background in cybersecurity or network detection.
  • Experience with real-time analytics systems.
  • Expertise in data warehousing technologies such as Elasticsearch, Hadoop, or Druid.

About the Company

Vectra

AI-driven network detection and response platform

Vectra.ai builds AI-powered security tools that watch traffic in cloud environments, SaaS apps, data centers, and enterprise networks to find cyber threats in real time. Its main product, the Cognito platform, connects with other security tools like EDRs, SIEMs, firewalls, and hybrid cloud setups. It collects network data and adds machine-learned security insights, then automatically detects attacker behaviors and flags the most at-risk devices. This helps security teams investigate incidents more efficiently and hunt for threats with AI assistance. Vectra.ai differentiates itself through strong integration across many security tools and its ability to provide real-time detection and risk prioritization across a wide set of environments. The company's goal is to help large organizations reduce security risk and improve their overall security posture by quickly detecting and responding to threats across their entire cloud footprint.

Company size
501-1,000
Company stage
Series F
Total funding
$352.3M
Headquarters
San Jose, CA
Founded
2011

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