ELK Developer - Phoenix, AZ - Remote for Good candidate

  • Posted 13 hours ago | Updated 13 hours ago

Overview

Remote
$50 - $60
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Able to Provide Sponsorship

Skills

Elasticsearch
Kibana
ELK
Python
DevOps

Job Details

Role: ELK Developer

Location: Phoenix, AZ - Hybrid

Exp: 10+ yrs

Job Summary:

We are looking for a skilled ELK Developer with strong hands-on experience in managing and developing ELK (Elasticsearch, Logstash, Kibana) solutions. The ideal candidate should possess solid expertise in AWS, Unix/Linux administration, and end-to-end observability pipeline management. will play a key role in designing, developing, and maintaining log analytics and monitoring solutions for our infrastructure and applications.

Key Responsibilities:

Design, develop, configure, and maintain ELK stack components for scalable log aggregation and visualization.

Administer Elasticsearch clusters, ensuring high availability, scalability, and performance tuning.

Build and optimize Logstash pipelines with custom filters and grok patterns.

Develop and maintain Kibana dashboards tailored to business and operational needs.

Perform Unix/Linux system administration tasks as needed for platform support.

Troubleshoot and debug issues across the ELK stack and integrations.

Collaborate with development, DevOps, and security teams to deliver reliable observability solutions.

Maintain documentation and operational runbooks for ELK-related workflows.

Required Skills:

Strong hands-on expertise with ELK Stack (Elasticsearch, Logstash, Kibana)

Deep knowledge of Elasticsearch indexing, querying, sharding, replication, and cluster management

Experience with Logstash filters, input/output plugins, and custom parsing using grok

Strong knowledge of Kibana visualization and dashboard creation

Solid experience in Unix/Linux administration and shell scripting, python

Excellent debugging and problem-solving skills

Strong verbal and written communication skills for working across teams

Experience with Beats (Filebeat, Metricbeat)

Familiarity with containerized environments (Docker, Kubernetes, podman)

Exposure to security logging, threat detection, or SIEM tools

Knowledge of performance tuning for large-scale Elasticsearch clusters

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.

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