Elastic Search Systems Engineer

Job Description
The ElasticSearch Systems Engineer SME role provides support across an Agile team in a DevSecOps environment. This role will provide support for a large enterprise ElasticSearch deployment. This role requires providing design, configuration, maintenance and troubleshooting support in the Elastic environments in both cloud (AWS) and on prem.
Primary Responsibilities:

• Maintain Elasticsearch clusters in a cloud based environment across multiple availability zones.
• Ensure the Elasticsearch clusters continue to run under optimal conditions
• Evaluate existing Elasticsearch clusters, configuration parameters, indexing, search and query performance tuning, security and administration
• Maintain appropriate infrastructure to maintain performance and data integrity
• Keep Elasticsearch clusters upgraded (as permitted by the applications reliant on them)
• Spin up/customize clusters to meet various development and/or business needs
• Optimize indexes to meet business needs (e.g. logging, enterprise search)
• Troubleshoot various issues with the clusters (from small errors like unassigned shards, to automation issues, to node/cluster failures)
• Work closely with architecture, engineering and development and operations teams and jointly work on key deliverables ensuring production scalability and stability
• Ensure security of Elasticsearch cluster
• Follow and implement Elastic best practices
• Ensure appropriate monitoring & alerting of Elasticsearch

Requirements
Basic Qualifications:

• Candidate must have an active TS/SCI with a Polygraph
• Candidate must have a Master's degree with 15+ years of prior relevant experience or a Doctorate's degree with 13+ years of prior relevant experience.
• 3+ year experience with Elasticsearch Administration
• Direct experience maintaining and integrating Elasticsearch within an operational enterprise information system
• Experience working in an Agile development environment and tempo
• Experience with deploying and using Elasticsearch in Commercial Cloud Platform (ex, AWS, Google Cloud, Azure)
• Excellent communication skills (written and verbal)

Preferred Qualifications:

• Experience working on customer's systemsUnderstanding of customer's system development policies