Vectra AI Cloud-Native Engineer

Booz Allen Hamilton•Washington, DC

4d•$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 high-availability security analytics integrations. The engineer will architect and deploy Vectra AI integrations in cloud environments, build scalable data ingestion pipelines and microservices, and connect Vectra AI with security and identity platforms. The role also includes implementing repeatable infrastructure deployments, optimizing workloads for performance, security, and resiliency, and creating operational dashboards, runbooks, automation scripts, and monitoring strategies. Applicants must hold an active TS/SCI clearance and be willing to take a polygraph exam. They must also be able to obtain specified DoD 8570 certifications within 60 days and 30 days of the start date, respectively. Booz Allen's benefits include health, life, disability, financial, and retirement benefits; paid leave; professional development; tuition assistance; work-life programs; dependent care; and recognition awards. The projected annualized salary range is $99,000 to $225,000.

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 combinations: high school diploma or GED and 7+ years supporting IT projects and activities; associate degree and 5+ years; bachelor's degree and 3+ years; or master's degree and 1+ years.
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, including 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.