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

ENS Solutions, LLC•Reston, VA

About The Position

Essential Network Security (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 focuses on cloud-native microservices, distributed systems, event streaming, infrastructure as code, and highly available security analytics integrations. The engineer will architect and deploy Vectra AI integrations using managed services, container orchestration platforms, and serverless compute; build scalable data-ingestion pipelines and microservices; and integrate Vectra AI with cloud SIEM/SOAR systems, identity platforms, Zero Trust controls, and cloud logging pipelines. The role also includes implementing repeatable deployments, optimizing workloads, and developing dashboards, runbooks, automation scripts, and monitoring strategies. ENS Solutions is a service-disabled veteran-owned IT consulting and management firm serving the Department of Defense and Intelligence Community. Its areas of work include identity, credential and access management, software development, cyber and network security, systems engineering, program and project management, and IT support. Applicants must have an active TS/SCI clearance and be willing to take a polygraph exam. Candidates are not permitted to use AI or other assistive tools during interviews unless they have received explicit advance permission.

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 (NDR) 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 exam.
One of the following education and experience combinations supporting IT projects and activities: high school diploma or GED and 7+ years; 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, such as 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, including CEH, CySA+, GICSP, SSCP, CHFI, CFR, Cloud+, or CND.

Nice To Haves

Experience with cloud identity, including AAD or 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 using Terraform, CloudFormation, or similar tools 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.