Elasticsearch Systems Engineer (SME)

Description

Leidos has a new and exciting opportunity for a Elasticsearch Systems Engineer (SME) in our National Security Sector's (NSS) Cyber & Analytics Business Area (CABA). Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos, we offer competitive benefits, including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security!

Job Summary

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. This role will also collaborate with architecture, engineering, development, and operations teams; ensuring production scalability and stability while maintaining data integrity.

Job Responsibilities

• Maintain Elasticsearch clusters in a cloud-based environment across multiple availability zones.
• Ensure Elasticsearch clusters run under optimal conditions.
• Evaluate and optimize Elasticsearch clusters, including configuration parameters, indexing, search, query performance tuning, security, and administration.
• Maintain infrastructure to ensure performance and data integrity.
• Keep Elasticsearch clusters upgraded, as permitted by the applications reliant on them.

• 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 Platforms (e.g., AWS, Google Cloud, Azure).
• Masters with 15 or more years of relevant experience or a PhD with 13 or more years of relevant experience. Additional years of experience may be substituted in lieu of a degree.
• TS/SCI with Poly is required for consideration.

• Experience working on the customer's systems.
• Understanding of the customer's system development policies.
• Additional certifications related to Elasticsearch.