Elastic Stack Engineer/Developer (TS/SCI with Poly Required)

GCI embodies excellence, integrity and professionalism. The employees supporting our customers deliver unique, high-value mission solutions while effectively leverage the technological expertise of our valued workforce to meet critical mission requirements in the areas of Data Analytics and Software Development, Engineering, Targeting and Analysis, Operations, Training, and Cyber Operations. We maximize opportunities for success by building and maintaining trusted and reliable partnerships with our customers and industry.

At GCI, we solve the hard problems. As an Elastic Stack Engineer/Developer, a typical day will include the following duties:

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.

A candidate must be a US Citizen and requires an active/current TS/SCI with Polygraph clearance.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans