ENGINEER Full-time

1 week ago


Toronto ON, Canada Capgemini Full time

Permanent Fulltime

This role will involve designing, implementing, and maintaining the ELK stack to collect, store, process, and analyze log data from various sources. Architect and deploy solutions using Elasticsearch, Logstash, and Kibana for log management, real-time data analysis, and visualization.
Maintain ELK Stack : Monitor, configure, and troubleshoot the ELK stack, ensuring optimal performance and reliability in production environments.
Configure and manage log ingestion pipelines using Logstash or Beats agents to efficiently collect and process logs and metrics.
Data Analysis and Visualization : development, security, operations) to track system performance, errors, and other metrics.
Optimize Elasticsearch queries, mappings, and indexing to ensure efficient data storage and fast search performance.
Automation : Automate the setup, configuration, and scaling of the ELK stack using tools such as Ansible, Terraform, or Kubernetes.
Security and Access Control : Implement and manage security configurations in Elasticsearch, including access control, user roles, and encryption.
Collaboration and Support : Collaborate with internal teams to understand their data needs and provide support in leveraging ELK stack capabilities for various use cases.
Diagnose and resolve performance issues, errors, and failures related to ELK stack components.
Programming and Scripting : Proficiency in scripting languages such as Python, Bash, or Groovy.
Data Processing : Experience with data collection, transformation, and parsing using Logstash or Beats.
Systems Administration : Experience with Linux-based systems, networking, and system performance monitoring.
Performance Optimization : Ability to optimize Elasticsearch performance for large-scale data sets, including query performance, indexing, and storage management.
Monitoring Tools : Experience with monitoring tools like Prometheus, Grafana, or Nagios is a plus.
Version Control : Proficiency with Git and other version control systems.
Understanding of security best practices related to data storage, user access, and logging.

CI/CD : Familiarity with continuous integration and deployment practices.

Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent work experience.


3+ years of experience in managing ELK stack or similar data analytics/log management solutions.


Full-time position.



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