ELK Engineer

ELK Engineer | Plano, TX (Hybrid - 3 Days Onsite)
Join a global leader in telecommunications technology and take ownership of mission-critical logging infrastructure that powers real-time visibility across the enterprise. This is a high-impact opportunity to shape the scalability, performance, and reliability of Elastic Stack systems used at scale.
What You'll Do:
Architect for Scale:
Design and implement Elastic Stack solutions built for scalability, high availability, and redundancy.
Own the Pipeline:
Design, build, and troubleshoot Logstash, Metricbeat, and Filebeat to ensure clean, reliable data flow.
Solve Real Performance Challenges:
Implement and optimize log forwarding and ingestion pipelines, balancing performance, scalability, and uptime.
Automate and Elevate:
Write and refine automation scripts using Python, shell, or PowerShell to streamline operations and reduce manual overhead.
Manage Modern Infrastructure:
Support and troubleshoot Elastic Cloud on Kubernetes (ECK) environments.
Drive Innovation:
Partner with cross-functional teams to define best practices, explore new approaches, and influence technical strategy. Contribute to proof-of-concept work, lab testing, and forward-looking initiatives.
If you would like to learn more, please reach out to Elite Technical.

Required Skills

Required skills:
- Overall - 8+ years of IT experience
- Proven recent experience working across the elastic Stack.
- Has cloud experience with Elastic. Primarily Elastic Cloud for Kubernetes (ECK)
- Understand how to deploy nodes in Azure.
- Able to manage / support pipelines in Azure
o Create indexes / data streams
o Define ILM policies
o Able to parse data from different raw sources
o Able to enrich data
- Ability to troubleshoot Elastic indexes, shards, and errors.
- Able to work with free version of Elastic / build tools to assist in its operation.
- Understand how Logstash, Metricbeat, and Filebeat work.
o How to integrate as forwarders to Elastic and Kafka.
- Able to manage / support multiple elastic clusters.
- Able to architect ILM policies with node resources in mind.
- Has experience with elastic agents / fleet.
- Experience with design, implementation and support of Azure components, including databases and networking.