Vectra AI Cloud-Native Engineer

Booz Allen Hamilton•Reston, VA
•$99,000 - $225,000

About The Position

Booz Allen is seeking a Vectra AI Cloud-Native Engineer to design, integrate, and optimize Vectra AI Detect and Recall and support telemetry pipelines across AWS, Azure, and GCP. The role focuses on cloud-native microservices, distributed systems, event streaming, infrastructure as code, and highly available security analytics integrations. The engineer will architect and deploy Vectra AI integrations in cloud environments, build scalable ingestion pipelines and microservices, integrate with SIEM, SOAR, identity, Zero Trust, and cloud logging systems, and optimize workloads for performance, security, and resiliency. The position also involves creating dashboards, runbooks, automation scripts, and monitoring strategies. Applicants must hold an active TS/SCI clearance and be willing to take a polygraph exam. The role requires qualifying education and experience supporting IT projects and activities, along with the ability to obtain specified DoD 8570 certifications after starting. The projected annual compensation range is $99,000 to $225,000. Booz Allen offers health, life, disability, financial, and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards. Full-time and part-time employees working at least 20 hours weekly on a regular basis are eligible for the company’s benefit programs, subject to program terms.

Requirements

  • At least 3 years of experience engineering cloud architecture, including AWS, Azure, or GCP.
  • Experience building distributed systems, microservices, and API-driven pipelines.
  • Experience with Network Detection and Response (NDR) platforms such as Corelight, Stellar, Cortex, Falcon, or RevealX.
  • Experience with infrastructure-as-code tools such as Terraform, Ansible, CloudFormation, or Puppet.
  • Knowledge of cloud networking, traffic mirroring, logging, and telemetry flows.
  • Active TS/SCI clearance and willingness to take a polygraph exam.
  • One of the following education and IT-project experience combinations: high school diploma or GED and 7+ years; associate degree and 5+ years; bachelor's degree and 3+ years; or master's degree and 1+ years supporting IT projects and activities.
  • Ability to obtain a DoD 8570 IAT Level III certification, such as SecurityX, CCNP Security, CISA, CISSP or CISSP Associate, GCED, GCIH, or CCSP, within 60 days of the start date.
  • Ability to obtain a DoD 8570 Cybersecurity Service Provider - Infrastructure Support (CSSP-IS) certification, such as CEH, CySA+, GICSP, SSCP, CHFI, CFR, Cloud+, or CND, within 30 days of the start date.

Nice To Haves

  • Experience with cloud identity, including AAD or IAM, and Zero Trust security patterns.
  • Experience with the Vectra AI platform.
  • Experience with Kubernetes or cloud container platforms.
  • Experience with packet analytics tools, including Zeek, Suricata, or Arkime, in cloud traffic pipelines.
  • Experience supporting secure cloud adoption within federal or regulated environments.
  • Experience with DevSecOps and CI/CD pipelines.
  • Knowledge of streaming platforms such as Kafka, Kinesis, or Pub/Sub.

Responsibilities

  • Architect and deploy Vectra AI Detect and Recall integrations in cloud environments using managed services, container orchestration platforms, and serverless compute.
  • Build and maintain scalable cloud-native data ingestion pipelines.
  • Develop microservices for metadata ingestion, enrichment, and alert processing.
  • Integrate Vectra AI with cloud SIEM and SOAR systems, identity platforms, Zero Trust controls, and cloud logging pipelines.
  • Implement infrastructure as code, including Terraform or CloudFormation, for repeatable deployment of cloud Vectra AI components.
  • Optimize cloud workloads for performance, security, and resiliency.
  • Build dashboards, runbooks, automation scripts, and monitoring strategies for cloud environments.

Benefits

  • Health benefits
  • Life insurance
  • Disability benefits
  • Financial benefits
  • Retirement benefits
  • Paid leave
  • Professional development
  • Tuition assistance
  • Work-life programs
  • Dependent care
  • Recognition awards program
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