
Elastic Implementation Consultant - SG
Salary undisclosed
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- Design, deploy, and optimize Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) solutions, ensuring scalability and high availability.
- Implement and manage data pipelines using Logstash, Beats, and external integrations, integrating with cloud services and security tools.
- Monitor, fine-tune, and troubleshoot Elasticsearch clusters, addressing indexing, query performance, and security configurations.
- Automate deployments using Python, Bash, Ansible, Terraform, and implement security best practices such as RBAC, encryption, and authentication (LDAP, SAML, OAuth).
- Work closely with clients to understand business needs, provide expert guidance on Elastic deployments, and ensure best practices in scalability, security, and compliance
- Bachelor's degree in computer science, Information Technology, or related field.
- Minimum 3 years' experience in Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) implementation and optimization.
- Strong expertise in cluster management, performance tuning, and data indexing strategies.
- Proficiency in scripting (Python, Bash) and automation tools (Ansible, Terraform).
- Experience integrating Elastic Stack with cloud platforms (AWS, Azure, GCP) and security tools.
- Strong troubleshooting and analytical skills in log management, search analytics, and performance optimization.
- Design, deploy, and optimize Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) solutions, ensuring scalability and high availability.
- Implement and manage data pipelines using Logstash, Beats, and external integrations, integrating with cloud services and security tools.
- Monitor, fine-tune, and troubleshoot Elasticsearch clusters, addressing indexing, query performance, and security configurations.
- Automate deployments using Python, Bash, Ansible, Terraform, and implement security best practices such as RBAC, encryption, and authentication (LDAP, SAML, OAuth).
- Work closely with clients to understand business needs, provide expert guidance on Elastic deployments, and ensure best practices in scalability, security, and compliance
- Bachelor's degree in computer science, Information Technology, or related field.
- Minimum 3 years' experience in Elastic Stack (Elasticsearch, Logstash, Kibana, Beats) implementation and optimization.
- Strong expertise in cluster management, performance tuning, and data indexing strategies.
- Proficiency in scripting (Python, Bash) and automation tools (Ansible, Terraform).
- Experience integrating Elastic Stack with cloud platforms (AWS, Azure, GCP) and security tools.
- Strong troubleshooting and analytical skills in log management, search analytics, and performance optimization.