Elasticsearch Systems Engineer (SME)

Description

The ElasticSearch Systems Engineer role provides support across an Agile team in a DevSecOps environment. This role also 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

Basic Qualifications:

• 3+ years 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)

**Requires Masters with 15 or more years of prior relevant experience.

**TS/SCI with Poly is required for Consideration

Preferred Qualifications:

• Experience working on the customer's systems

• Understanding of the customer's system development policies

CABARESTON

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.