

ELK Stack Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an "ELK Stack Engineer" with a contract length of "unknown," offering a pay rate of "unknown," and requiring remote work. Candidates should have a minimum of 7 years' experience in the finance domain and expertise in Elasticsearch, Logstash, and Kibana.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 13, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
New York, United States
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π§ - Skills detailed
#Splunk #Observability #Bash #Lambda (AWS Lambda) #GitLab #Grafana #AWS (Amazon Web Services) #Jenkins #Visualization #DevOps #Kubernetes #Ansible #Logging #Prometheus #Data Ingestion #AWS CloudWatch #Security #Python #Monitoring #Docker #Azure #RDS (Amazon Relational Database Service) #Debugging #"ETL (Extract #Transform #Load)" #Elasticsearch #Linux #S3 (Amazon Simple Storage Service) #Logstash #Terraform #Deployment #OpenSearch #Automation #Scripting #GCP (Google Cloud Platform) #Cloud
Role description
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Inviting applications for the role of
ELK (Elasticsearch, Kibana & Logstash), Linux (Scripting).
In this role, you will be responsible for coding and delivering high-quality deliverables and should be willing to learn new technologies.
Responsibilities
β’ Design, configure, and manage ELK Stack solutions (Elasticsearch, Logstash, Kibana, and Beats).
β’ Develop and maintain Logstash pipelines to ingest and parse logs from multiple sources.
β’ Set up dashboards and visualizations in Kibana for real-time monitoring and alerting.
β’ Configure Elasticsearch indices, mappings, lifecycle policies, and manage cluster performance.
β’ Implement data ingestion, transformation, and enrichment techniques.
β’ Integrate ELK with cloud platforms (AWS, Azure, or GCP) and containerized environments (Docker, Kubernetes).
β’ Manage access controls and security using Elasticsearch APIs and features like X-Pack or OpenSearch plugins.
β’ Work with DevOps/SRE/IT teams to troubleshoot logging issues and build observability into CI/CD pipelines.
Linux & Scripting
β’ Develop and maintain Linux shell scripts for automation of deployments, monitoring, and maintenance tasks.
β’ Set up, configure, and maintain Linux-based environments for Elasticsearch and related applications.
β’ Troubleshoot and resolve server performance, disk, and memory issues related to Elasticsearch.
Qualifications we seek in you!
Minimum Qualifications
β’ BE/B Tech/MCA
β’ Excellent written and verbal communication skills
β’ Min 7 years of experience.
β’ Experience in the Finance Domain
Preferred Qualifications/ Skills
β’ Hands-on experience with Elasticsearch, Logstash, Kibana
β’ Solid understanding of Elasticsearch architecture, shard management, query DSL, and cluster tuning.
β’ Strong experience writing and debugging Logstash filters and pipelines.
β’ Proficient in Kibana dashboard development, visualizations, and reporting.
β’ Experience with Linux environments and command-line scripting (Bash, Shell, Python).
β’ Experience integrating ELK with AWS CloudWatch, S3, RDS, Lambda, etc. (or equivalent cloud platforms).
β’ Understanding of security, authentication, and RBAC in ELK environments.
β’ Familiarity with observability tools such as Prometheus, Grafana, or Splunk is a plus.
β’ Experience with CI/CD tools (Jenkins, GitLab CI) and infrastructure-as-code (Terraform, Ansible).
β’ Excellent problem-solving skills and ability to work in a team-oriented environment.