Monitoring & Observability Engineer, Herald

• 5-7+ years of experience owning monitoring & observability projects while shaping best practices and driving adoption across the tech org
• Strong proficiency in TypeScript/Node.js (experience instrumenting backend services)
• Hands-on experience with observability tooling (OpenTelemetry, Datadog, Grafana, ELK/Loki, or similar)
• Proven experience with data anomaly detection and validation pipelines
• Familiarity with APIs (REST, SOAP, GraphQL) and async messaging systems (Kafka, SQS, RabbitMQ)
• Experience with cloud environments (AWS/GCP/Azure) and containerized apps (Kubernetes, Docker)
• Solid knowledge of SQL for querying and investigating data anomalies
• Comfort with automation scripting (Python, Bash, or Terraform) for monitoring infrastructure

Desirable

• We are building a platform that integrates with dozens of insurance carriers, processing high volumes of transactions through carrier APIs and data feeds
• Ensuring reliability, transparency, and traceability across these integrations is mission-critical
• As a Monitoring & Observability Engineer, you will design, implement, and scale observability systems that give us complete visibility into carrier integrations, APIs, and backend services
• You will empower our engineering, product, and operations teams to detect issues early, troubleshoot effectively, and ensure our customers always have accurate and timely data
• Ensure policies, claims, and updates flow seamlessly across systems
• Give business and operations teams full transparency into integration health
• Reduce downtime, speed up troubleshooting, and protect customer trust
• Build the observability foundation that lets us scale integrations with dozens of carriers without losing visibility
• Instrument TypeScript/Node.js services with logs, metrics, and traces using OpenTelemetry and related tooling
• Ensure end-to-end visibility across API calls, message queues, and data pipelines with insurance carriers
• Develop dashboards that highlight transaction flow health, error rates, anomalies, and latency trends
• Detect failures such as API outages, data mismatches, and delayed feeds
• Build proactive alerting systems to minimize downtime and impact
• Automate observability for new carrier integrations to accelerate onboarding
• Partner with integration engineers to rapidly diagnose and resolve carrier-related issues
• Conduct root cause analysis on failed transactions and provide data-driven recommendations
• Improve incident response processes by refining alerting, runbooks, and playbooks
• Build reusable templates for dashboards and alerts, so observability scales with new integrations
• Automate checks for data integrity, anomaly detection, and validation pipelines across large carrier data volumes
• Enhance developer productivity with self-service observability tools