Elastic Administrator - Clusters

New York, NY, US • Posted 7 days ago • Updated 24 minutes ago
Contract W2
12 Months
On-site
$65 - $70 /hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Elastics Administrator Clusters Kubernet

Summary


Stefanini Group is looking for Elastic Administrator - Clusters for a globally recognized company! For interested applicants, click the apply button or you may reach out to Alfher Hidalgo at / for faster processing. Thank you!



Overview:



We are seeking an experienced Elastic SME to support the development, operation, and ongoing management of our on-premise Elasticsearch platform within a security-focused environment at CoreWeave.



Key Responsibilities:



Administer and operate Elastic clusters on Kubernetes using ECK and data streams (deployment, scaling, upgrades)

Manage Day 2 operations: monitoring, incident response, troubleshooting, and performance tuning

Implement backup/restore, high availability, and disaster recovery strategies

Optimize indexing, ES|QL query performance, and cluster health

Support security configurations (RBAC, access control, audit logging)

Maintain operational runbooks and documentation

Take part in the on-call rotation (1 week 24*7 on call per month)







Key WordsSRE, Production Engineering, Dev OpsKubernetes (MUST)ElasticSearch (MUST)Monitoring and Alerting using Grafana (MUST)



Culture: Fast-paced, supportive, trustworthy and accountable, exciting work and not just maintenance.





Required Skills:



Strong hands-on experience with Elastic stack (Elasticsearch, Kibana, Fleet Server, Elastic Agent and Search Ingest Pipeline)

Proven experience in production support / Day 2 operations

Experience managing on-premise Kubernetes infrastructure

Solid understanding of Linux systems, networking, and storage

Experience with monitoring and alerting tools such as Loki, Grafana, Prometheus, VictoriaMetrics

Automation using scripting (Python, Bash, etc.)



Nice to Have:

Experience in security environments or SIEM use cases

Experience using Kafka at high scale as part of log ingestion pipeline

#LI-ONSITE

#LI-AH1


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10106616
  • Position Id: 63717
  • Posted 7 days ago
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