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Visibility. Analytics. Context. Secure
Elastic Stack Engineer Intern
Location
Virginia
Posted
77 days ago
Salary
0
Seniority
Entry Level
Job Description
Elastic Stack Engineer Intern
ShorePoint Inc
• Install and configure Elastic Stack components, including Elasticsearch, Kibana, Logstash and Beats on Linux systems. • Troubleshoot issues with Elastic Stack components and their integration with various other systems. • Collaborate with other engineers and developers to implement new features and functionality. • Communicate with customers as needed to understand requirements and provide solutions that meet their needs. • Provide technical support to customers to resolve issues related to Elastic Stack components. • Contribute to the development of Elastic onboarding documentation, including what a new team member needs to know, how to evaluate their skills and the training curriculum they should follow. • Develop a tool for quick discovery within new Elastic cluster environments; this includes creating a set of API calls (or similar methods) to query a cluster during engagement kickoffs to gather configuration information for consultant use. • Contribute to the Elastic Accelerators initiative based on the individual’s specific skillset, which may include kibana-py development work, Platinum deployment automation, content dependency mapping and development of compliance-focused dashboards. • Investigate new AI and security features within Elasticsearch and present to the team about new capabilities available in recent releases.
Job Requirements
- Must be at least a college Junior
- Must be enrolled in an accredited university (undergraduate or graduate)
- Major must be aligned with ShorePoint’s intern program positions (Information Technology, Computer Science and Cybersecurity)
- Must have a cumulative GPA greater or equal to 3.0
- Ability to work remotely and manage tasks effectively in a virtual setting
- Must be a U.S. citizen.
- Scripting or programming experience, preferably with Python and exposure to version control systems like Git (beneficial)
- Experience with cloud platforms such as AWS, Azure or Google Cloud (beneficial)
- Experience with containerization technologies such as Docker and Kubernetes (beneficial)
- Experience with the Elastic Stack or similar platforms such as Splunk or Grafana/Prometheus (beneficial)
Benefits
- Casual and fun environment
- Opportunities to gain experience and build a professional network
- Individual and company successes celebrated
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