We are currently looking for a strong ELK Developer (Elasticsearch, Logstash, and Kibana) for our client in Toronto, ON. Please find the detail description below. Kindly let me know your interest.

Job Title: ELK Developer (Elasticsearch, Logstash, and Kibana)
Location: Toronto, ON (Hybrid)
Duration: Long term

Job Description

Skills and Qualifications:

• Experience with ELK Stack: Strong hands-on experience with Elasticsearch, Logstash, and Kibana.
• Programming and Scripting: Proficiency in scripting languages such as Python, Bash, or Groovy.
• Search Engine Technologies: Knowledge of Elasticsearch internals, clusters, and distributed systems.
• 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.
• Cloud Platforms: Familiarity with cloud services such as AWS, Azure, or GCP is a plus.
• Monitoring Tools: Experience with monitoring tools like Prometheus, Grafana, or Nagios is a plus.
• Version Control: Proficiency with Git and other version control systems.
• Problem-Solving and Troubleshooting: Strong problem-solving skills, with an ability to debug and troubleshoot issues in a complex, distributed environment.
• Security Awareness: Understanding of security best practices related to data storage, user access, and logging.

Preferred Qualifications:

• Certification: Certifications related to Elasticsearch or cloud platforms are a plus.
• Containers and Orchestration: Experience with Docker and Kubernetes for deploying and scaling ELK stack components.
• CI/CD: Familiarity with continuous integration and deployment practices.

Educational Requirements:

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

Experience:

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