Cloud-Native Security Analytics Engineer

ENS Solutions, LLC; Washington (District of Columbia); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Free Platinum-Level Medical/Dental/V**

401k Contribution from Day 1

PTO + 11 Paid Federal Holidays

Long & Short Term Disability Insurance

Group Term Life Insurance

Tuition, Certification & Professional

Job summary

ENS Solutions, LLC seeks a Cloud‑Native Vectra AI Engineer to design, integrate, and optimize Vectra AI Detect/Recall and telemetry pipelines across AWS, Azure, and GCP. You will develop microservices, implement IaC, and build monitoring for secure, scalable cloud deployments.

Requirements include 3+ years in cloud architecture, experience with NDR tools, and an active TS/SCI clearance with polygraph willingness. Federal/regulatory exposure preferred.

Qualifications

• 3+ years of engineering experience with cloud architecture (AWS, Azure, GCP).
• Experience building distributed systems, microservices, and API-driven pipelines.
• Experience with NDR platforms such as Corelight, Stellar, Cortex, Falcon, RevealX.
• Experience with IaC tools such as Terraform, Ansible, CloudFormation, Puppet.
• Strong understanding of cloud networking, traffic mirroring, logging, and telemetry flows.
• Active TS/SCI clearance; willingness to take a polygraph exam.
• Education matching DoD/IC requirements with certification readiness within stated timelines.

Responsibilities

• Architect and deploy Vectra AI Detect/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 Vectra AI with cloud SIEM/SOAR systems, identity platforms, Zero Trust controls, and cloud logging pipelines.
• Implement IaC (Terraform, 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.

Skills

Cloud architecture

Distributed systems

Microservices

API-driven pipelines

Kubernetes

Cloud networking

Telemetry flows

Security analytics

NDR platforms

CI/CD

Zero Trust

Education

HS diploma or GED

Associate’s degree

Bachelor’s degree

Master’s degree

Tools

Terraform

CloudFormation

Ansible

Puppet

Kubernetes

AWS

Azure

GCP

Job description

ENS Solutions, LLC seeks a Cloud‑Native Vectra AI Engineer to design, integrate, and optimize Vectra AI Detect/Recall and telemetry pipelines across AWS, Azure, and GCP. You will develop microservices, implement IaC, and build monitoring for secure, scalable cloud deployments.

Requirements include 3+ years in cloud architecture, experience with NDR tools, and an active TS/SCI clearance with polygraph willingness. Federal/regulatory exposure preferred.