Senior Elastic Engineer

BCMC•Dulles, VA

About The Position

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.

Requirements

U.S. Citizenship
Active Secret (S) clearance. Must be able to obtain a TS/SCI clearance
Must be able to obtain DHS Suitability
6+ years of directly relevant software development experience required.
At least 2 years of experience as an Elastic Cloud on Kubernetes (ECK) admin or equivalent role.
At least 2 years of experience with Elasticsearch Domain Specific Language (DSL).
At least 5 years of experience with Kubernetes architecture.
Strong knowledge of ELK stack.
Knowledge of scripting languages, such as JavaScript, Python, Bash, etc.

Nice To Haves

Experience working in an agile environment.
Experience supporting federal customers.

Responsibilities

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.