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JOB DESCRIPTION:
The Elasticsearch Engineer/Developer will design, develop, configure, support, and maintain Elasticsearch clusters and support the development teams around the Elastic ecosystem. The ideal candidate is a hands-on platform builder with significant experience in developing scalable data platforms, and familiar with business intelligence, analytics, data science and data products. They must have strong, firsthand technical expertise with Elasticsearch deployments, configurations, and management to support big data. This person should be at ease working in an agile environment as a self-starter and embody a passion for continuous improvement and innovation.
QUALIFICATIONS
Bachelor’s Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience
At least five (5) years of related Elasticsearch experience
REQUIRED QUALIFICATIONS
Demonstrated hands-on experience building and deploying Elastic Stack infrastructure
Demonstrated hands-on experience with software design as it relates to Elasticsearch deployments and distributed computing/system architecture
Experience troubleshooting Elasticsearch cluster and query performance issues to include working on query optimization with developers and tracing logs to track issues/errors
Demonstrated hands-on experience with Linux-based systems, bash scripting, and working from the command line
Demonstrated hands-on experience with build automation technologies like Git, Ansible, Chef, Puppet, etc…
Demonstrated hands-on experience working with Docker and Kubernetes
DESIRED KNOWLEDGE/SKILLS:
Hands-on experience working with large SQL or NOSQL database clusters such as Elasticsearch
Experience with designing data models, architecting data systems, and standing up or supporting large data platforms.
Familiarity with ETL pipelines and how to interface with data stores and API endpoints.
Demonstrated hands-on experience with monitoring technologies like ELK, Prometheus, Grafana, etc.
Experience with Scrum/Agile development methodologies.
Excellent verbal and written communication skills.
KEY RESPONSIBILITIES:
Design, develop, test, debug, and deploy Elasticsearch clusters and architecture to support large data ingest, processing, and retrieval.
Work with automation tools for a robust CI/CD pipeline, to include: Git, Ansible, and Kubernetes
Provide ongoing maintenance, support and enhancements in existing Elastic systems and platforms.
Provide guidance and direction to engineering teams related to best practices for utilizing Elasticsearch, indexing, re-indexing, and developing with an Elastic backend.
Write and update technical documentation such as system documentation, processes, and procedures for interacting with Elastic stack components and data.
Collaborate cross-functionally with systems engineers, software engineers, data scientists, analysts, project managers and other engineering groups.
Troubleshoot complex problems and provide customer support for software systems and application issues.
GDIT IS YOUR PLACE:
401K with company match
Comprehensive health and wellness packages
Internal mobility team dedicated to helping you own your career
Professional growth opportunities including paid education and certifications
Cutting-edge technology you can learn from
Rest and recharge with paid vacation and holidays
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#GDITEnhanced2025
Years of Experience
5 + years of related experience
* may vary based on technical training, certification(s), or degree
Certification
Travel Required
None
Citizenship
U.S. Citizenship Required
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