Vectra AI Integration Engineer, Mid

Booz Allen Hamilton

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Reston, VAWashington, DCRiverdale, MD
Salary
$69,400–$158,000 / yr
Employment
Full-time
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $182k
This role $114k
$51k $240k
below market most similar roles pay here above market

This role pays less than 85% of similar roles. Most pay $141,820–$222,125 — the blue band above. At the midpoint, this role pays about $114k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1688 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · Vectra AI Integration Engineer, Mid

The Vectra AI Integration Engineer, Mid joins the team to deploy, tune, and sustain Vectra AI Detect sensors and Recall pipelines within physical data centers, air-gapped networks, and enterprise on-premise environments. The role involves engineering physical and virtual sensor placement using SPANs, taps, and packet brokers to ensure east-west segmentation visibility. Key responsibilities include managing routing, VLANs, and metadata transformation while integrating Vectra AI with on-premise SIEM, SOAR, EDR, and analysis tools. The engineer will build monitoring dashboards, perform performance tuning, and maintain STIG-aligned configurations. Required technical skills include Linux engineering, TCP/IP, DNS, TLS, NetFlow/IPFIX, and packet analytics tools like Zeek, Suricata, Arkime, or Endace. This position solves the challenge of reliable on-prem telemetry ingestion and threat detection fidelity in secure, hardened environments.

What you'll do

  • Deploy and sustain Vectra AI sensors, collectors, and metadata pipelines in on-premise networks.
  • Integrate Vectra AI with on-premise SIEM, SOAR, EDR, and packet brokers.
  • Engineer physical and virtual sensor placement using SPANs, taps, and packet brokers.
  • Manage network routing, VLANs, packet capture, and metadata transformation.
  • Configure STIG-aligned systems and secure baselines for on-premise operating environments.
  • Build monitoring dashboards, sensor health checks, and performance tuning workflows.
  • Ensure reliable telemetry ingestion and threat detection fidelity for operations teams.

What we're looking for

  • 3+ years of experience with on-premise network engineering or cybersecurity platforms.
  • Experience deploying Vectra AI or Network Detection and Response (NDR) platforms in physical or virtual data center environments.
  • Experience with packet analytics tools such as Zeek, Suricata, Arkime, or Endace.
  • Experience with hardened OS builds, secure enclaves, access controls, and network segmentation.
  • Experience with Linux engineering and system operations.
  • Knowledge of TCP/IP, DNS, TLS, HTTP/S, NetFlow/IPFIX, packet capture, and metadata pipelines.
  • Active TS/SCI clearance and willingness to take a polygraph exam.
  • HS diploma and 7+ years experience, Associate’s and 5+ years, Bachelor’s and 3+ years, or Master’s and 1+ year of IT project experience.
  • Ability to obtain a DoD 8570 IAT Level III Certification within 60 days of start date.
  • Ability to obtain a DoD 8570 Cybersecurity Service Provider - Infrastructure Support Certification within 30 days of start date.
  • Experience integrating NDR telemetry into SOC pipelines in secure on-prem environments (preferred).
  • Experience in environments with strict access controls or Zero Trust requirements (preferred).
  • Experience with virtualization platforms, physical rack deployments, and packet brokers (preferred).
  • Experience with incident response and threat hunting based on raw network metadata (preferred).

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