DevOps Engineer, Observability and Data Visualization

View full description

Requirements:

• 5+ years of experience in observability, monitoring, or data engineering roles, with a strong track record of building and managing robust monitoring systems.
• Proficiency in observability platforms like Splunk, Prometheus, and Grafana for full-stack monitoring and visualization.
• Advanced skills in creating dashboards and data visualizations with tools like Apache Superset, Grafana, and Splunk to deliver actionable insights.
• Strong knowledge of AWS monitoring and event management tools, including CloudWatch, CloudTrail, and SNS.
• Expertise in logging systems such as Elasticsearch and Logstash, enabling efficient log aggregation and analysis.
• Advanced SQL skills for querying, transforming, and analyzing complex datasets to support decision-making and operational improvements.

Responsibilities:

• Build, configure, and maintain observability platforms, integrating tools like Splunk, Prometheus, Grafana, and CloudWatch for comprehensive full-stack visibility.
• Design and manage Apache Superset dashboards to monitor transactions, system performance, and operational analytics, delivering actionable insights to stakeholders.
• Develop and refine alerting mechanisms to ensure rapid detection and resolution of system anomalies, enhancing overall platform reliability.
• Aggregate and analyze logs across the technology stack using Splunk and Elasticsearch, identifying performance trends, potential bottlenecks, and system anomalies.
• Provide actionable insights through detailed reports and visualizations, supporting data-driven decision-making across teams.
• Continuously evaluate and improve monitoring practices, introducing enhancements that boost platform scalability, reliability, and performance.