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

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

What You’ll Work On:

• 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.

• 3+ years of engineering experience with cloud architecture (AWS, Azure, GCP).
• Experience building distributed systems, microservices, and API-driven pipelines.
• Experience with Network Detection and Response (NDR) platforms, such as Corelight, Stellar, Cortex, Falcon, RevealX.
• Experience with Infrastructure as Code (IaC) tools, such as Terraform, Ansible, CloudFormation, Puppet, etc.).
• Strong understanding 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 (formerly CASP+), CCNP Security, CISA, CISSP (or Associate), GCED, GCIH, CCSP certification within 60 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 If You Have:

• 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 (Zeek, Suricata, Arkime) in cloud traffic pipelines.
• Knowledge of streaming platforms (Kafka, Kinesis, Pub/Sub).
• Experience supporting secure cloud adoption within federal or regulated environments.
• DevSecOps experience with CI/CD pipelines.

Essential Network Security (ENS) Solutions, LLC is a service-disabled veteran owned, highly regarded IT consulting and management firm. ENS consults for the Department of Defense (DoD) and Intelligence Community (IC) providing innovative solutions in the core competency area of Identity, Credential and Access Management (ICAM), Software Development, Cyber and Network Security, System Engineering, Program/Project Management, IT support, Solutions, and Services that yield enduring results. Our strong technical and management experts have been able to maintain a standard of excellence in their relationships while delivering innovative, scalable and collaborative infrastructure to our clients.

Why ENS?

• Free Platinum-Level Medical/Dental/Vision coverage, 100% paid for by ENS
• 401k Contribution from Day 1
• PTO + 11 Paid Federal Holidays
• Long & Short Term Disability Insurance
• Group Term Life Insurance
• Tuition, Certification & Professional Development Assistance
• Workers’ Compensation
• Relocation Assistance

Candidate AI Usage Policy

AI tools are an important part of daily work at ENS Solutions, and we are committed to their responsible and ethical use. To ensure a fair and equitable candidate evaluation based on individual skills, knowledge, and experience, candidates are not permitted to use artificial intelligence or other assistive tools during interviews, whether in person or virtual, unless explicit permission has been granted in advance.