Remote-Eligible Cloud-Native VectraAI Engineer

Booz Allen Hamilton; Norfolk (VA); Hybrid; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton in Virginia seeks a Cloud‑Native VectraAI Engineer to design, integrate, and optimize VectraAI Detect and Recall across AWS, Azure, or GCP. This role focuses on cloud‑native microservices, distributed systems, event streaming, infrastructure‑as‑code, and high‑availability security analytics integrations.

You will architect and deploy integrations, build scalable ingestion pipelines, and develop microservices for metadata processing while implementing IaC and ensuring secure,

Qualifications

• 5+ years of experience in cloud architectures across AWS, Azure, or GCP.
• Experience with Kubernetes or cloud container platforms.
• Experience building distributed systems, microservices, and API-driven pipelines.
• Experience with VectraAI Detect and Recall or NDR platforms.
• Experience with IaC such as Terraform, CloudFormation, or ARM.
• Knowledge of cloud networking, telemetry flows, and logging.
• Active TS/SCI clearance; willingness to take a polygraph.
• Eligibility for DoD 8570 IAT Level III and CSSP-IS certifications within 30 days.

Responsibilities

• Architect and deploy VectraAI integrations within cloud environments.
• Build scalable cloud-native data ingestion pipelines.
• Develop microservices for metadata ingestion, enrichment, and alert processing.
• Integrate VectraAI with cloud SIEM or SOAR systems and identity platforms.
• Implement IaC for repeatable deployment of VectraAI components.
• Optimize workloads for performance, security, and resiliency.
• Build dashboards, runbooks, automation scripts, and monitoring strategies.

Skills

Cloud architectures

Kubernetes

Distributed systems

API-driven pipelines

Telemetry

Security analytics

Education

HS diploma or GED

Associate’s degree

Bachelor’s degree

Master’s degree

Tools

Terraform

CloudFormation

ARM

Job description

Booz Allen Hamilton in Virginia seeks a Cloud‑Native VectraAI Engineer to design, integrate, and optimize VectraAI Detect and Recall across AWS, Azure, or GCP. This role focuses on cloud‑native microservices, distributed systems, event streaming, infrastructure‑as‑code, and high‑availability security analytics integrations.

You will architect and deploy integrations, build scalable ingestion pipelines, and develop microservices for metadata processing while implementing IaC and ensuring secure,