Cloud DevOps Engineer:

We are seeking a Cloud DevOps Engineer who will have a critical role in owning, managing and growing a unified logging analytics service for Fuze services and systems.

This is your opportunity to join an exciting business that is experiencing significant growth. You’ll be involved in architecting and managing a high-volume cloud-based logging environment serving multiple teams and offering actionable data, alerts, reports, etc.. You will have the opportunity to work on cutting-edge technologies and on business-impacting products.


  • Design, implement, maintain and be the subject matter expert for the monitoring and logging infrastructure (primarily Elasticsearch/ELK).
  • Lead the onboarding process for new log sources delivering accurate integration and content parsing and extractions.
  • Create, modify and troubleshoot data sources for various applications (internal and external), as well as manage knowledge objects while consulting with stakeholders to meet their requirements.
  • Perform maintenance, optimization and  of existing Elastichsearch deployments.
  • Develop and promote log management best practices and procedures for the internal teams.
  • Create and maintain documentation relevant to the tasks: ex. Deployment manuals, architecture diagrams, etc.
  • Participate in technical escalations and on-call rotation.


  • B.S. degree in Computer Science or relevant field experience. 
  • Detailed understanding of infrastructure operations and in-depth knowledge and experience around logging solutions including log management, logging analytics and monitoring (Elasticsearch/Kibana/Logstash).
    • 4+ years of experience with DevOps technologies, cloud-based provisioning, monitoring, and troubleshooting (preferably in AWS).
    • Hands-on experience with designing and operating large scale Elasticsearch architecture and component deployments.
    • Experience on-boarding new data sources and setting up alerts (formatting, standardization, etc.)
  • Extensive experience in orchestration and automation: ex: Terraform, CloudFormation, Ansible, CI/CD concepts and tools.
  • Demonstrated knowledge in building and managing large-scale deployments.
  • Highly proficient in administering Linux environments (Ubuntu/CentOS), including configuration of networking and security.
  • Demonstrable expertise around specifying, designing, and implementing system health, performance monitoring tools, and software management tools for 24x7 environments.
  • Strong debugging and systems analysis skills around identification and rapid issue resolution.
  • Scripting skills including bash, python, etc.
  • Excellent communication skills and the ability to work well in a geographically dispersed team.


Great to have:

  • Experience with Cloud Log management solutions (e.g. AWS Cloudwatch & Insights, Datadog, etc.)




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