Posted 2mo ago

Senior Software Engineer/ Elastic Engineer

@ Node.Digital
Dulles, Virginia, United States
OnsiteFull Time
Responsibilities:Building pipelines, Designing ELK, Installing ELK
Requirements Summary:U.S. citizenship; active Secret clearance with ability to obtain TS/SCI; DHS suitability; 6+ years software development; 2+ years Elastic Cloud on Kubernetes admin; 2+ years Elasticsearch DSL; 5+ years Kubernetes; ELK stack knowledge; scripting (Python, JavaScript, Bash).
Technical Tools Mentioned:Elasticsearch, Kibana, Logstash, Beats, Elastic Cloud on Kubernetes, Kubernetes, Python, Groovy, Bash, ELK
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Job Description

Senior Software Engineer/ Elastic Engineer

Location: Dulles, VA

Must have an active Secret Security Clearance

Node.Digital provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers’ most demanding challenges. Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization.

Node.Digital brings disruptive technologies, agility, and competitive offerings to customers in the intelligence community, defense, civil, and commercial markets.
The Elastic Engineer will be a part of a team of Data Analytic Engineers enhancing, maintaining, and sustaining an Elastic, Logstash, and Kibana (ELK) instance with a heavy emphasis on data on-boarding, content development, configuration, troubleshooting, reporting, and visualizations. The candidate must possess prior Elastic engineering and administration experience, meet the necessary certification prerequisites, and work well in a distributed team environment.
The Duties and Responsibilities of this role include:
• Building data pipelines to ingest external datasets into Elastic products.
• Designing, building, deploying, maintaining, and enhancing the Elastic Logstash Kibana (ELK) platform.
• Installing and configuring ELK.
• Using Elastic search Indices, Elastic search APIs, Kibana Dashboards, Log Stash and Beats.
• Using or creating plug-ins for ELK like authentication and authorization plug-ins.
• Integrating ELK with enterprise tools and APIs, such as for authentication and authorization.
• Designing and implementing complex development use cases and scenarios using programming language, such as Python, Groovy, and Bash.
• Using Elastic Search Cluster Monitoring Tools.