DevOps Engineer (Elastic/ Mongo) - TS/SCI w/ Poly required

Leading Path Consulting

$100K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years managing Elasticsearch or equivalent data clusters
  • 7+ years of overall IT experience including system admin and DevSecOps
  • 3+ years supporting software development teams
  • 2+ years using scripting languages like Bash and Python

Responsibilities

  • Manage existing Elastic and Mongo clusters for knowledge management system
  • Support software development teams with relevant expertise
  • Implement upgrades and scaling for Elasticsearch and MongoDB
  • Optimize Elasticsearch indexes and queries
  • Migrate Elasticsearch data to various sharding strategies

Benefits

  • Comprehensive health insurance options
  • Retirement plan with company matching
  • Flexible working hours and remote work opportunities
  • Professional development and training support
  • Access to cutting-edge technology and tools
Full Job Description
* Active TS/SCI w/ FS Poly REQUIRED

Looking for an experienced and innovative DevOps Engineer to help manage our existing Elastic and Mongo cluster for an enterprise knowledge management system.

Requirements

Required Qualifications:

2+ years of professional experience managing an Elasticsearch cluster, a MongoDB replica set, or other data cluster of similar complexity

7+ years of broad IT experience to include system administration, software engineering, and/or DevSecOps engineering

3+ years of professional experience supporting software development teams

2+ years of experience with scripting languages such as Bash and Python

Desired Qualifications:

15+ years of broad IT experience to include system administration, software engineering, and DevSecOps engineering

5+ years of experience in a DevSecOps, Cloud Engineer, or similar role

Experience managing, upgrading, and scaling Elasticsearch clusters

Experience managing, upgrading and scaling MongoDB replica sets

Experience with Elasticsearch index design and query optimization

Experience migrating Elasticsearch data from one sharding strategy to another

Experience implementing MongoDB replication and sharding strategies and cluster design

Experience working with JSON on a daily basis

Experience implementing AI-based solutions

Experience with Bash, CloudFormation, Git, and Jenkins

Experience supporting A&A

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