Cloud-Native VectraAI Engineer - Data Pipelines & Security

Phase2 Technology

Riverdale Park (MD)

On-site

USD 99,000 - 225,000

Full time

14 days+

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Job summary

Booz Allen Hamilton is seeking a CloudNative VectraAI Engineer to design and optimize VectraAI Detect/Recall and telemetry pipelines across AWS, Azure, or GCP. You will develop microservices, IaC, and cloud-native data ingestion, aiming for scalable, secure, and highly available analytics across multi-cloud environments.

Requirements include 5+ years in cloud engineering, Kubernetes experience, and TS/SCI clearance.

Qualifications

  • 5+ years designing cloud architectures (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, and logging.
  • Active TS/SCI clearance; willingness to take a polygraph.

Responsibilities

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

Skills

Cloud architectures
Kubernetes
Distributed systems
Microservices
VectraAI
Terraform
CloudFormation
ARM
Cloud security
Security clearance

Tools

Kubernetes
Terraform
CloudFormation
ARM templates
Kafka
Kinesis
Pub/Sub
Zeek
Suricata
Arkime

Job description

Booz Allen Hamilton is seeking a CloudNative VectraAI Engineer to design and optimize VectraAI Detect/Recall and telemetry pipelines across AWS, Azure, or GCP. You will develop microservices, IaC, and cloud-native data ingestion, aiming for scalable, secure, and highly available analytics across multi-cloud environments.

Requirements include 5+ years in cloud engineering, Kubernetes experience, and TS/SCI clearance.

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