VectraAI Integration Engineer, Mid

Booz Allen Hamilton; Reston (VA); On-site; USD 69,000 - 158,000; Full time

Job summary

Booz Allen Hamilton seeks an experienced Integration Engineer to deploy and tune VectraAI Detect sensors and Recall pipelines in on‑prem environments. You will focus on network metadata, packet telemetry, routing, sensor placement, and integration with SOC tooling.

Ideal candidates have deep experience with on‑prem networks, NDR platforms, and Linux operations, plus the ability to obtain required DoD clearances. You will build dashboards and ensure telemetry fidelity across secured data centers.

Qualifications

• 5+ years of experience with on‑premise network engineering or cybersecurity platforms.
• Experience deploying NDR platforms in physical or virtual data center environments.
• Experience with hardened OS builds, secure enclaves, access controls, and network segmentation.
• Experience with Linux engineering and system operations.

Responsibilities

• Deploy and sustain VectraAI sensors, collectors, and metadata pipelines.
• Integrate VectraAI with on‑prem SIEM, SOAR, or EDR and packet brokers.
• Engineer physical and virtual sensor placement with SPANs, taps, and routing.
• Build monitoring dashboards, sensor health checks, and performance tuning workflows.
• Coordinate with operations teams to ensure reliable on‑prem telemetry ingestion and threat detection fidelity.

Skills

Linux engineering

TCP/IP

Packet capture

Network metadata

Security tooling

Education

HS diploma or GED

Associate’s degree

Bachelor’s degree

Master’s degree

Tools

Zeek

Suricata

Arkime

Endace

Job description

VectraAI Integration Engineer, Mid

We are seeking an VectraAI Integration Engineer to deploy, tune, and sustain VectraAI Detect sensors and Recall pipelines in physical data centers, air‑gapped networks, and enterprise on‑premise environments. This role focuses on network metadata, packet‑level telemetry, routing, sensor placement, and integration with on‑premise SOC tooling.

What You’ll Work On

Deploy and sustain VectraAI sensors, collectors, and metadata pipelines in on‑premise networks. Integrate VectraAI with on‑premise SIEM, SOAR, or EDR, packet brokers, and analysis tools. Engineer physical and virtual sensor placement, including SPANs, taps, packet brokers, and east‑west segmentation visibility. Manage routing, VLANs, packet capture, and metadata transformation. Support STIG‑aligned configurations and secure baselines consistent with your on‑prem operating guidance. Build monitoring dashboards, sensor health checks, and performance tuning workflows. Coordinate with operations teams to ensure reliable on‑prem telemetry ingestion and threat detection fidelity.

You Have

• 5+ years of experience with on‑premise network engineering or cybersecurity platforms
• Experience deploying 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; willingness to take a polygraph exam
• HS diploma or GED and 7+ years of experience supporting IT projects and activities,
• Associate’s degree and 5+ years of experience supporting IT projects and activities,
• Bachelor’s degree and 3+ years of experience supporting IT projects and activities, or
• Master’s degree and 1+ years of experience supporting IT projects and activities
• Ability to obtain a DoD 8570 IAT Level III Certification such as SecurityX, CCNP Security, CISA, CISSP or Associate, GCED, GCIH, or CCSP Certification within 30 days of start date
• Ability to obtain a DoD 8570 Cybersecurity Service Provider - Infrastructure Support Certification (CSSP-IS) Certification, including CEH, CySA+, GICSP, SSCP, CHFI, CFR, Cloud+, or CND Certification, within 30 days of start date

Nice If You Have

• Experience integrating NDR telemetry into SOC pipelines in secure on‑prem environments
• Experience in environments with strict access controls or Zero Trust requirements
• Experience with virtualization platforms, physical rack deployments, and packet brokers
• Experience with incident response and threat hunting based on raw network metadata
• Experience deploying VectraAI in physical or virtual data center environments
• GCIA, GNFA, or CISSP Certification

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well‑being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full‑time and part‑time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Salary

The projected compensation range for this position is $69,400.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in‑person or virtual) is prohibited unless permission is explicitly provided.

Work Model

Our people‑first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

About Booz Allen

Booz Allen is an advanced technology company. We build commercial‑grade products and solutions for America’s most critical defense, civil, and national security priorities.

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