Elastic Search Engineer

Leidos•Bethesda, MD
•Onsite

About The Position

Leidos is seeking an Elastic Search Engineer with TS/SCI clearance to join a dynamic team focused on developing and deploying a state-of-the-art technology stack. This role supports a critical mission to centralize and standardize the Tasking, Collection, Processing, Exploitation, and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise. The team integrates existing and new software to enhance the TCPED platform, utilizing cloud-based computing, artificial intelligence (AI), machine learning (ML), and cross-domain transfer systems to deliver advanced data exploitation, enrichment, triage, and analytics capabilities. The DTP program pushes the boundaries of mission-focused big data analytics and micro-service development, operating within Agile sprints and multi-year R&D cycles. As an Elastic Search Engineer, you will be part of the platform engineering team, responsible for developing, deploying, and maintaining NoSQL databases as core components of the microservice ecosystem, built on a Kubernetes foundation. You will also champion GitOps best practices across cross-functional engineering teams. This role requires close collaboration with systems engineering, architecture, development, security, operations, and integrations teams in a fast-paced environment. Work is performed on-site at the client location in Bethesda, MD.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience) with 8+ years of relevant experience; Master’s degree with 6+ years of experience.
  • Active TS/SCI security clearance with the ability to obtain and maintain a Polygraph.
  • Current DoD 8570.01M IAT Level II (or higher) certification, such as Security+, CySA+, SSCP, CCNA Security, or CISSP (or Associate).
  • Ability to obtain and maintain Privileged User Account (PUA) certification.
  • Experience with Kubernetes and container platforms such as EKS, Rancher, or RKE2.
  • Experience with designing, maintaining, and tuning Elasticsearch databases.
  • Experience with one or more of the following: Keycloak, Redis, 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.
  • Comfortable working in a fast-paced environment with team members from diverse technical backgrounds.

Nice To Haves

  • Experience with micro services architecture.
  • Proficiency in scripting for automation and operational tooling (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.
  • Experience supporting DIA, NDOC, and/or D3P.
  • OSINT familiarity.

Responsibilities

  • Deploy, triage, debug, and maintain production class databases like 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 to 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

Benefits

  • Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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