Elasticsearch Engineer

RPMGlobal; Bethesda, Northern (MD, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Base-2 Solutions is seeking an Elasticsearch Engineer to develop, deploy, and maintain NoSQL databases as part of a Kubernetes-based microservices platform for Open Source Intelligence workflows. The role is on-site in Bethesda, MD and supports cloud, AI/ML, cross-domain transfer, data processing, and analytics for defense and intelligence communities.

Responsibilities include deploying and tuning Elasticsearch/Redis, designing config management, collaborating with systems engineers, and

Qualifications

• Experience with Kubernetes and container platforms such as EKS, Rancher, or RKE2.
• Experience designing, maintaining, and tuning Elasticsearch databases.
• Experience with Keycloak, Redis, or Strimzi.
• Experience hardening databases to comply with NIST 800-53 security controls.

Responsibilities

• Deploy, triage, debug, and maintain production-class databases, including Elasticsearch and Redis.
• Design and support database configuration management strategies across air-gapped network fabrics.
• Partner with Systems Engineers to architect solutions for new capabilities.
• Contribute to operational monitoring capabilities that provide proactive system notifications.
• Contribute technical input to engineering documentation, diagrams, and models.
• Participate in Agile release planning, scrums, design sessions, bug triage, and related team activities.

Skills

Linux system administration

Agile/Scrum

Communication

Collaboration

Tools

Kubernetes

Elasticsearch

Redis

Keycloak

Strimzi

EKS

Rancher

RKE2

Job description

Position Summary

Base-2 Solutions is seeking an Elasticsearch Engineer to develop, deploy, and maintain NoSQL databases as foundational components of a Kubernetes-based microservices platform supporting the centralization and standardization of Open Source Intelligence tasking, collection, processing, exploitation, and dissemination across the defense and intelligence communities. This on-site role in Bethesda, MD supports cloud computing, artificial intelligence, machine learning, cross-domain transfer, data exploitation, enrichment, triage, and analytics capabilities.

Essential Duties and Responsibilities

• Deploy, triage, debug, and maintain production-class databases, including Elasticsearch and Redis.
• Design and support database configuration management strategies across air-gapped network fabrics.
• Partner with Systems Engineers to architect solutions for new capabilities.
• Contribute to operational monitoring capabilities that provide proactive system notifications.
• Contribute technical input to engineering documentation, diagrams, and models.
• Participate in Agile release planning, scrums, design sessions, bug triage, and related team activities.

Required Qualifications

• Relevant experience meeting one of the applicable education and experience pathways in the equivalency section.
• Experience with Kubernetes and container platforms such as EKS, Rancher, or RKE2.
• Experience designing, maintaining, and tuning Elasticsearch databases.
• Experience with one or more of the following: Keycloak, Redis, or Strimzi.
• Experience working with open-source technologies and modern infrastructure platforms.
• Experience hardening databases to comply with NIST 800-53 security controls.
• Strong knowledge of Linux system administration.
• Experience deploying, managing, and troubleshooting containerized applications.
• Strong written and verbal communication skills.
• Ability to collaborate effectively with customers, engineers, architects, and cross-functional teams.
• Comfort working in a fast-paced environment with team members from diverse technical backgrounds.

Preferred Qualifications

• Experience with microservices architecture.
• Proficiency in scripting for automation and operational tooling, including UNIX shell, Perl, or similar.
• Experience with Helm Chart templating.
• Experience with ArgoCD.
• Knowledge of REST APIs, web services, networking, and internet protocols.
• Experience and domain knowledge related to data processing.
• Experience with big data applications.