Vectra AI Cloud Native Engineer - Active TS/SCI with CI Poly

ENS Solutions, LLC•Washington, DC

About The Position

ENS Solutions is seeking a Cloud-Native Vectra AI Engineer to design, integrate, and optimize Vectra AI Detect/Recall and supporting telemetry pipelines across AWS, Azure, and GCP. The role centers on cloud-native microservices, distributed systems, event streaming, infrastructure as code, and highly available security analytics integrations. The position supports Department of Defense and Intelligence Community work. An active TS/SCI clearance is required, and the candidate must be willing to take a polygraph examination. The role includes architecting and deploying Vectra AI integrations in cloud environments, building and maintaining scalable ingestion pipelines, developing metadata ingestion and alert-processing microservices, integrating Vectra AI with security and identity platforms, implementing repeatable infrastructure deployments, and optimizing workloads for performance, security, and resilience. The engineer will also develop dashboards, runbooks, automation scripts, and monitoring strategies. Candidates must meet one of the stated education and experience combinations: high school diploma or GED with 7+ years supporting IT projects and activities; an associate degree with 5+ years; a bachelor's degree with 3+ years; or a master's degree with 1+ years. The role also requires the ability to obtain specified DoD 8570 certifications within 60 days and a CSSP-IS certification within 30 days of the start date.

Requirements

At least 3 years of engineering experience with cloud architecture across AWS, Azure, or GCP.
Experience building distributed systems, microservices, and API-driven pipelines.
Experience with Network Detection and Response platforms, such as Corelight, Stellar, Cortex, Falcon, or RevealX.
Experience with infrastructure-as-code tools such as Terraform, Ansible, CloudFormation, or Puppet.
Strong understanding of cloud networking, traffic mirroring, logging, and telemetry flows.
Active TS/SCI clearance and willingness to take a polygraph examination.
One of the following: 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 within 60 days of the start date. Examples include SecurityX (formerly CASP+), CCNP Security, CISA, CISSP or Associate, GCED, GCIH, or CCSP.
Ability to obtain a DoD 8570 Cybersecurity Service Provider - Infrastructure Support (CSSP-IS) certification within 30 days of the start date. Examples include CEH, CySA+, GICSP, SSCP, CHFI, CFR, Cloud+, or CND.

Nice To Haves

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

Responsibilities

Architect and deploy Vectra AI Detect/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/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.