Vectra AI Integration Engineer, Mid
The Opportunity:We are seeking a Vectra AI Integration Engineer to deploy, tune, and sustain Vectra AI 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 Vectra AI sensors, collectors, and metadata pipelines in on-premise networks.
- Integrate Vectra AI with on-premise SIEM/SOAR/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:- 3+ years of experience with on-premise network engineering or cybersecurity platforms
- Experience deploying Vectra AI or Network Detection and Response (NDR) platforms such as Corelight, Stellar, Cortex, Falcon, or RevealX 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 60 days of start date
- Ability to obtain a DoD 8570 Cybersecurity Service Provider - Infrastructure Support Certification (CSSP-IS), 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
Clearance:Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
CompensationSalary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. 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 StatementAs 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 PolicyAI 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 ModelOur people-first culture prioritizes the benefits of collaboration. 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 or customer facility, in alignment with your leadership's expectations and the needs of the role.
- Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.