ELK Architect/ Elastic Search Architect

Job Description:

Need for an ELK Architect/ Elastic Search Architect. Please review the job description below -

12+ years of experience as ELK Architect/ Elastic Search Architect

Design and implement efficient log shipping and data ingestion processes.

Collaborate with development and operations teams to enhance logging capabilities.

Implement and configure components of the Elastic Stack, including, Filebeat, Metricsbeat, Winlogbeat, Logstash and Kibana.

Create and maintain comprehensive documentation for Elastic Stack configurations and processes.

Ensure seamless integration between various Elastic Stack components.

Advance Kibana dashboards and visualizations modelling, deployment

Create and manage Elasticsearch Clusters on premise, including configuration parameters, indexing, search, and query performance tuning, RBAC security governance, and administration.

Hands-on Scripting & Programming in Python, Ansible, bash, data parsing (regex), etc

Experience with Security Hardening & Vulnerability/Compliance, OS patching, SSL/SSO/LDAP

Understanding of HA design, cross-site replication, local and global load balancers, etc

Data ingestion & enrichment from various sources, webhooks, and REST APIs with JSON/YAML/XML payloads & testing POSTMAN, etc.

CI/CD - Deployment pipeline experience (Ansible, GIT)

Strong knowledge of performance monitoring, metrics, capacity planning, and management

Ability to apply a systematic & creative approach to solve problems, out-of-the-box thinking with a sense of ownership and focus.

Experience with application onboarding - capturing requirements, understanding data sources, architecture diagrams, application relationships, etc.

Influencing other teams and engineering groups in adopting logging best practices.

Effective communication skills with the ability to articulate technical details to a different audience.

Familiarity with Confluence and JIRA

Responsibilities:

Designing and implementing solutions for centralized logs, infrastructure, health metrics, and distributed tracing for different applications

Provide training and support to other team members on Elastic Stack usage.

Develop and maintain documentation concerning Its technical architecture.

Application onboarding - capturing requirements, understanding data sources, architecture diagrams, application relationships, etc.

Good To Have:

Experience with Grafana

Experience with Open Telemetry Monitoring and logging solutions

Experience with Prometheus

Experience with Splunk Administration

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.

Job Description:

Need for an ELK Architect/ Elastic Search Architect. Please review the job description below -

12+ years of experience as ELK Architect/ Elastic Search Architect

Design and implement efficient log shipping and data ingestion processes.

Collaborate with development and operations teams to enhance logging capabilities.

Implement and configure components of the Elastic Stack, including, Filebeat, Metricsbeat, Winlogbeat, Logstash and Kibana.

Create and maintain comprehensive documentation for Elastic Stack configurations and processes.

Ensure seamless integration between various Elastic Stack components.

Advance Kibana dashboards and visualizations modelling, deployment

Create and manage Elasticsearch Clusters on premise, including configuration parameters, indexing, search, and query performance tuning, RBAC security governance, and administration.

Hands-on Scripting & Programming in Python, Ansible, bash, data parsing (regex), etc

Experience with Security Hardening & Vulnerability/Compliance, OS patching, SSL/SSO/LDAP

Understanding of HA design, cross-site replication, local and global load balancers, etc

Data ingestion & enrichment from various sources, webhooks, and REST APIs with JSON/YAML/XML payloads & testing POSTMAN, etc.

CI/CD - Deployment pipeline experience (Ansible, GIT)

Strong knowledge of performance monitoring, metrics, capacity planning, and management

Ability to apply a systematic & creative approach to solve problems, out-of-the-box thinking with a sense of ownership and focus.

Experience with application onboarding - capturing requirements, understanding data sources, architecture diagrams, application relationships, etc.

Influencing other teams and engineering groups in adopting logging best practices.

Effective communication skills with the ability to articulate technical details to a different audience.

Familiarity with Confluence and JIRA

Responsibilities:

Designing and implementing solutions for centralized logs, infrastructure, health metrics, and distributed tracing for different applications

Provide training and support to other team members on Elastic Stack usage.

Develop and maintain documentation concerning Its technical architecture.

Application onboarding - capturing requirements, understanding data sources, architecture diagrams, application relationships, etc.

Good To Have:

Experience with Grafana

Experience with Open Telemetry Monitoring and logging solutions

Experience with Prometheus

Experience with Splunk Administration

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.