VectraAI Cloud-Native Engineer

Booz Allen Hamilton•Washington, DC

1d•$99,000 - $225,000

About The Position

We are seeking a Cloud‑Native VectraAI Engineer to design, integrate, and optimize VectraAI Detect and Recall, and support telemetry pipelines across cloud platforms such as AWS, Azure, or GCP. This role focuses on cloud‑native microservices, distributed systems, event streaming, infrastructure‑as‑code, and high‑availability security analytics integrations.

Requirements

5+ years of experience in engineering with cloud architectures, such as AWS, Azure, or GCP.
Experience with Kubernetes or cloud container platforms
Experience with 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, traffic mirroring, logging, and telemetry flows
Active TS/SCI clearance; willingness to take a polygraph exam
HS diploma or GED and 7+ years of experience with 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, CASP+, CCNP Security, CISA, CISSP or Associate, GCED, GCIH, or CCSP Certification, within 30 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 To Haves

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

Responsibilities

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