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Remote role plus broad production-systems and alerting skillset increases candidate competition.
Specialized observability, alerting, telemetry, and network-protocol expertise limits cross-industry transferability.
Many mandatory technologies and production alerting experience create strict shortlisting filters.
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Lead architecture and development of the alert evaluation pipeline combining rule-based, ML anomaly detection, and correlation logic to produce trustworthy alerts.
Own end-to-end reliability of the alerting pipeline including OpenSearch evaluation, Kafka delivery, and downstream notification with idempotency under load.
Drive correlation strategies integrating diverse telemetry and network data to enable LLM-driven reasoning for investigation and remediation.
Proven hands-on experience with OpenSearch alerting and ML anomaly detection in production.
Strong Kafka experience in producing and consuming alert events for notifications.
Experience with Temporal workflow orchestration client and webhook reliability/idempotency in alerting systems.
Technical mastery in Go and/or Python including stream processing and multi-cloud environments; deep knowledge of security tooling, telemetry, syslog, network protocols, and topology construction.
Experience making organization-level architectural and technology decisions across multiple teams or projects.
Expertise in designing scalable alerting systems handling diverse data sources and integrating advanced ML/LLM capabilities.
Ability to mentor engineers and guide technical direction across distributed teams and complex cloud-native deployments.