Infrastructure Engineer
Infrastructure Engineer at BETBY, remote. Design and maintain monitoring, logging, and alerting platforms for a sportsbook company.
Designing, deploying, configuring, and maintaining scalable monitoring, logging, and alerting platforms for production and beta/test/dev environments; Operating Prometheus, Alertmanager, Grafana, Fluent Bit, Kafka, Fluentd, OpenSearch, and OpenSearch Dashboards, including upgrades, reliability, availability, capacity, and retention planning; Building and maintaining reliable metrics and log collection pipelines for infrastructure and business-critical services; Creating dashboards that provide clear, useful visibility into service health, performance, capacity, and operational risks; Designing, tuning, and maintaining actionable alert rules and notification routing; reducing alert noise and improving incident response; Monitoring infrastructure and application metrics and logs, troubleshooting issues, and improving stability and performance under heavy loads; Managing metric cardinality, log volume, retention, storage consumption, and query performance to keep observability platforms scalable and cost-effective; Establishing high-availability and recovery approaches for observability services and validating operational readiness.
Minimum 3 years of experience with administering Linux systems and operating monitoring, logging, or observability systems; Experience with Debian-based systems; Experience with Docker and Kubernetes; Hands-on experience with Prometheus, Alertmanager, and Grafana, including metric collection, alert rules, routing, and dashboards; experience with VictoriaMetrics would be a plus; Experience with Fluent Bit, Kafka, Fluentd, OpenSearch, and OpenSearch Dashboards for log collection, transport, processing, storage, search, and visualization; Understanding of metrics and log pipeline design, including reliability, scalability, data retention, capacity planning, and cardinality management; Experience designing actionable alerts, reducing alert noise, and troubleshooting infrastructure and application issues using metrics and logs; Proficiency in shell command line usage, scripting, and automation tools like Ansible/Terraform; Python and bash scripting skills.
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