Elasticsearch Systems Engineer

1 week ago

Bloomington, Illinois, United States Leidos Full time
Elasticsearch Systems Engineer Role

About the Role

The Elasticsearch Systems Engineer position at Leidos is a critical role that provides support across an Agile team in a DevSecOps environment. This role also involves providing support for a large enterprise Elasticsearch deployment. As an Elasticsearch Systems Engineer, you will be responsible for providing design, configuration, maintenance, and troubleshooting support in the Elasticsearch environments in both cloud (AWS) and on-prem.

Key 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

  • 3+ years of 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 (e.g., AWS, Google Cloud, Azure).
  • Excellent communication skills (written and verbal).

Preferred Qualifications

  • Experience working on the customer's systems.
  • Understanding of the customer's system development policies.

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