Responsibilities
- Architect, implement, and support Elastic Stack deployments including Elasticsearch, Kibana, Logstash, Beats, and Fleet.
- Develop and refine data ingestion pipelines, indexing methods, search operations, visualizations, and automated processes.
- Create scripts and automation tools using languages such as Python, PowerShell, and Bash to enhance operational efficiency and data handling.
- Install and manage Elastic solutions across multiple environments, including on-premises systems, public clouds (AWS, Azure, GCP), GovCloud, and container platforms like Kubernetes, Docker, and OpenShift.
- Utilize infrastructure-as-code and orchestration technologies like Terraform, Ansible, CI/CD systems, and Docker for consistent deployment and operational management.
- Connect Elastic systems with enterprise security and monitoring tools such as SIEMs, Splunk, CrowdStrike, and other data sources.
- Track platform performance, diagnose issues, and improve system stability and scalability.
- Lead technical design discussions, advise on Elastic best practices, and promote cross-team collaboration and learning.
- Produce and maintain documentation covering system designs, deployment models, operational procedures, and recommended practices.
- Keep updated on new Elastic features, certification opportunities, and platform advancements.
Work Arrangement
On-site
Other
This position is contingent upon additional funding.
