Monitoring Dashboard Engineer

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Company: Cynet Systems

Location: Miami, FL 33186

Description:

Job Description:

Responsibilities:
  • Develop and maintain monitoring dashboards using Grafana, ELK stack (Elasticsearch, Logstash, Kibana), and AWS OpenSearch.
  • Design and implement data visualizations that provide actionable insights.
  • Collaborate with cross-functional teams to gather requirements and ensure dashboards meet business needs.
  • Integrate monitoring solutions with microservices architecture.
  • Write and maintain scripts in Python for data collection, processing, and automation.
  • Optimize performance and scalability of monitoring solutions.
  • Troubleshoot and resolve issues related to monitoring and data visualization.
  • Integrate with various databases, including time series databases like InfluxDB and other relational databases like PostgreSQL, Oracle, and NoSQL databases like Apache Cassandra, Neo4j, Redis.
  • Implement and manage job scheduling tools to automate tasks and workflows.
  • Stay up to date with the latest trends and technologies in monitoring and analytics.
Required Qualifications:
  • 7+ Years of experience in implementing & maintaining insightful dashboards using different monitoring tools stack.
  • Proven experience with Grafana stack, ELK stack, and AWS OpenSearch.
  • Strong understanding of microservices architecture.
  • Proficiency in Python programming.
  • Experience with data visualization and dashboard development.
  • Familiarity with monitoring tools and best practices.
  • Experience with database integration and time series databases (e.g., InfluxDB, TimescaleDB).
  • Experience with job scheduling tools (e.g., Apache Airflow, Cron).
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and collaboration skills.
Preferred Qualifications:
  • Experience with other monitoring tools such as Prometheus.
  • Knowledge of containerization technologies like Docker and Kubernetes.
  • Familiarity with any one of the cloud platforms (AWS - preferred, Azure, GCP).
  • Experience with CI/CD pipelines and automation tools.

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