Elastic Search Engineer — TS/SCI Poly, Hybrid

stanleyreid; Bethesda (MD); Hybrid; USD 108,000 - 195,000; Full time

Job summary

Stanley Reid is seeking a TS/SCI + CI poly Elastic Search Engineer to join a high-energy team in Bethesda, MD. You will help build and deploy a cutting-edge tech stack for the DIA-NMEC DOMEX platform, focusing on NoSQL databases within a Kubernetes-based microservice ecosystem.

Hybrid work is available after onboarding, with US citizenship and active clearance required. The role demands strong Linux administration, scripting for automation, and experience with Elasticsearch, Keycloak, Redis,

Qualifications

• Active TS/SCI + CI poly clearance required.
• Current DoD 8570.01M IAT Level II certification (e.g., Security+, CySA+, SSCP, CCNA Security, or CISSP) or equivalent.
• Experience with Kubernetes and container platforms (EKS, Rancher, or RKE2).
• Experience with Elasticsearch, Keycloak, Redis, Strimzi.
• Experience hardening databases per NIST 800-53 controls; strong Linux administration.
• Scripting for automation (UNIX shell, Perl) and Helm templating; ArgoCD experience.

Responsibilities

• Develop, deploy and maintain NoSQL databases as foundation of microservice ecosystem on Kubernetes.
• Support GitOps adoption across cross-functional teams.
• Collaborate on building scalable, secure platform tooling and automation.

Skills

Linux administration

Automation scripting

GitOps

Security clearance process knowledge

Tools

Kubernetes

EKS

Rancher

RKE2

Elasticsearch

Keycloak

Redis

Strimzi

Helm

ArgoCD

Job description

Stanley Reid is seeking a TS/SCI + CI poly Elastic Search Engineer to join a high-energy team in Bethesda, MD. You will help build and deploy a cutting-edge tech stack for the DIA-NMEC DOMEX platform, focusing on NoSQL databases within a Kubernetes-based microservice ecosystem.

Hybrid work is available after onboarding, with US citizenship and active clearance required. The role demands strong Linux administration, scripting for automation, and experience with Elasticsearch, Keycloak, Redis,