Lead Engineer – Observability Engineering

Design, build, and maintain end-to-end observability solutions across metrics, logs, traces, synthetic and real user monitoring using New Relic and cloud-native services.

Leverage AI-driven observability and AIOps for anomaly detection, predictive alerting, root cause analysis, noise reduction, and self-healing to improve incident response and developer productivity.

Lead cross-functional teams to establish scalable monitoring architectures and operational excellence, and mentor teams to foster observability best practices and governance.

9+ years of total IT industry experience with strong focus on observability and monitoring solutions.

5+ years hands-on experience administrating and integrating New Relic in GCP, Azure, and AWS cloud environments.

Bachelor’s degree in computer science or equivalent; master’s degree preferred.

Experience managing observability tools like Datadog, Dynatrace, Grafana, Prometheus, and strong knowledge of distributed systems, microservices and containerized applications.

Experienced leader with deep expertise in New Relic and AI-powered observability solutions driving proactive monitoring and operational efficiency.

Strong collaborator capable of translating business observability needs into technical solutions across platform, developer velocity, and application teams.

Technically proficient in automation, CI/CD, DevSecOps, and governance practices with strategic focus on improving product quality and developer velocity.