Lead Product Engineer - (AIOps for Observability) - Remote
Core
Design and build agentic AI solutions for observability, including autonomous agents for anomaly detection, root cause analysis, and automated remediation across hybrid and multi-cloud environments.
Role type
Lead Product Engineer (AIOps)
Builds
Scalable observability platforms, intelligent automation frameworks, and developer-centric tooling for proactive detection and self-healing systems.
Domain
Enterprise IT Operations, Cloud Infrastructure, Artificial Intelligence
Deliverable
production ML models
Required skills
Agentic AI, LLMs, Observability platforms (Datadog, Dynatrace, OTEL), Java/Spring Boot, Python, Node.js, React, Kubernetes, Microservices, API Development, Infrastructure-as-code
Preferred skills
AI orchestration frameworks, Event-driven systems, Hybrid cloud environments
Technologies
Datadog, Dynatrace, New Relic, AppDynamics, OTEL, Java, Spring Boot, Python, Node.js, React, Kubernetes, Linux, Windows
Responsibilities
Design agentic AI solutions for autonomous anomaly detection and remediation; Embed AI/ML capabilities for predictive insights; Architect end-to-end observability solutions across logs, metrics, traces, and events; Build real-time health analytics and self-healing systems; Lead development of scalable platform components and APIs; Drive automation-first strategies and infrastructure-as-code initiatives.
Seniority
Senior, hands-on IC
